Monthly Archives: February 2021

Sexual Imagination Potency (SIP) Test to Explore the Unconscious Sexual Life of Humans

DOI: 10.31038/PSYJ.2021314

Abstract

Despite the importance of the sexuality in the human life, most studies performed up to now have been generally limited to the only evaluation of sexual behaviour and orientation, rather than the intimate sexual feeling in terms of sexual fantasies. Some preliminary results would suggest the existence of some same sexual fancies beyond the difference occurring between homo and hetero sexuality, in particular the fantasy of androgyny. On this basis a preliminary study was planned to elaborate a sexual test carried out to investigate not only the sexual behaviour but the dimension of sexual fancies and imagination, by proposing a specific analysis that we have called Sexual Imagination Potency (SIP). The study included 150 consecutive healthy volunteers and the test was accepted in 111/150 subjects. No significant difference in SIP mean values was observed between men and women. Within the evaluated fancies, a particular importance has been shown to be played by the manner to imagine the androgyny aspect, and the pleasure for pegging. In fact, the subjects with pleasure for pegging showed significantly higher SIP mean values with respect to those, who had no pleasure for pegging. These preliminary results, which have to be confirmed in greater number of healthy subjects, seem to demonstrate the importance of the androgyny image in influencing the sexual mood by connecting hetero and homo sexual fancies in a unique imaginative psychosexual world.

Keywords

Androgyny, Heterosexuality, Homosexuality, Sexual fancies

Introduction

Imagination and desire are looked upon as major determinants of sexuality [1]. Moreover, it has to be considered that the imagination represents one of the fundamental dimensions of human cognition [2]. During the early phases of development, the close interaction of imagination and erotic desire leads to the formation of psychical representatives of experiences of satisfaction, that influence sexual and nonsexual behaviours by establishing an internalized structure of blueprints for satisfaction [3]. These blueprints can also be viewed as an important step in the development of autonomy. Sex differences can be found primarily in the function and employment of erotic fantasies [4]. Generally, men tend to use their erotic imagery to a much in the higher degree with respect to the women, as a compensation for a lack of sexual satisfaction [5]. However at present the fantasies of women have still to be better investigated and understood. Then, it has to be confirmed the lower degree of fancies in women with respect to men. Proceeding from the conceptual distinction of erotic and everyday realities, reflections on the zeitgeist of sexuality and the relationship between the sexes are put forward focussing on the ambiguity of erotic imagination and the border crossing between the two realities [6]. Based on these reflections, the potential therapeutic aspects of imagination and desire are touched upon the problems of integrating erotic reality and everyday reality in long-term male-female relationships would have to be further investigated in the clinical practices [7]. Same preliminary clinical studies carried out for many years to investigate the sexual male and female fancies, have allowed us to hypothesize that the original and primary fancy is represented by the androgyny image, which could constitute the sexual fancy, from which would depend all other human sexual fantasies, involving both men and women irrespectively of the sexual orientation, by overcoming the opposition between hetero and homo sexual fancies [8]. On this basis, we have elaborated a simple and synthetic clinical test to explore the major fancies reflecting the androgyny status, and most in general the potency of the sexual imagination, independently of the degree of sexual satisfaction and activity.

Subjects and Methods

The study included 150 consecutive healthy volunteers (M/F: 69/81) to whom the SIP test whose proposed. Test of acceptance in 111/150 (74%) subjects, without statistically significant difference between man and woman (53/69 (77%) versus 58/81 (70%)). The characteristic of subject are reported in Table 1. The subject were subdivided on the basis of six major variables, including age, profession, grade of studies, religion faith, marriage status and affective status of relatives. The SIP test, which was differentiate in relation to the sex, was consisting of five essential question, with the three type of response, with a score ranging from 0 to 2, for a total maximum values of ten points. The SIP test was reported in Table 2. Data were statistically analyzed by the Chi Square test and the Student’s T Test.

Table 1: Characteristics of subjects.

N

Acceptance

M

F

150
111 (74%)

53 (47%)
58 (52%)

Marital status

-Marriage/cohabitation

-Single/widow

-Apart/divorced

45
47
19

Occupation

-Intellectual

-Practise

 

58

53

Education
 -Low-Middle-High

33
36
42

Faith

–          Christian

–          No faith

–          Other religions

 

74

22

15

Status of relationship among parents

–          Unity

–          Separated

92
19

Age

<50

> 0

57
54

Table 2: SIP Test values in a group of healthy women and men.

N

Question Response Points
1 Do you find more excitant the common vaginal

or the anal relation?

– No opinion

the vaginal relation

the anal relation

1

2

0

2 Do you find the pegging (the woman penetrate

the man) as an excitant sexual stimulation?

– No

– I do not know 1

– yes 2

1-2**

0

3 How do you imagine the trio, with another woman or with another man? – I do not like the trio

– With another woman 1-2*

– With another man

1

2

0

4 Do you feel more cheated on if your partner had a sexual relation with a person of the same sex

or the other sex?

 – With both sexes

– with the same sex

– With the other sex

0

5 How do you imagine the androgyne human subject? Like a trans – No idea

– Like a woman with the artificial penis

1

Note: *1 for man and 2 for woman; **1 for woman and 2 for man.

Results

The evaluation of each single fancy is reported in Table 3. As reported, not significantly difference occurred between men and women in the preferential of the type of sexual relation the genital and the anal one. On the same way not significantly difference between men and women was seen in relation to the fancy of man penetration by woman, the so-called pegging. As far as trio fancy with a male and a female is concerned, male subject statistically preferred a woman as third partner (p<0.05), whereas women did not show statistically significance preference between males and females. Moreover, in relation to the psychic sufferance due to betrayal with the another partner, the percentage of pain in the presence of betrayal with a person of the same sex was respect to a betrayal with a person of the other sex was lower in women and higher in men, but none of these difference was statistically significance. Finally in the women the androgyny is imagined more significantly as a women with the strap-on, while in the men as trans (p<0.05). SIP mean values in relation to the main characteristics of healthy subjects are reported in Table 4.

Table 3: Evaluation of the single fancy expressed in percentage in men and women.

Fancy

Men=53 Women=58

Men+Women= 111

Prefered sexual relation

– Vaginal

– Anal

– no idea

 

31 (59%)

14 (26%)

8 (15%)

 

42 (72%)

7 (12%)

9 (16%)

73 (81%)

15 (16%)

23 (25%)

Love of pegging

– Yes

– No

– no idea

 

13 (25%)

15 (28%)

25 (47%)

 

10 (17%)

39 (67%)

9 (16%)

25 (23%)
64 (57%)
22 (20%)

Trio

– with men

– with women

– no love

 

10 (19%)

6 (11%)

37 (70%)*

 

13 (22%)

13 (22%)

32 (55%)

19 (17%)

50 (45%)

42 (38%)

Hurt by betrayal of the partner

– Both

– with men

– with women

 

25 (47%)

6 (11%)

 

34 (59%)

9 (15%)

15 (26%)

59 (53%)

31 (28%)

21 (19%)

Androgynous

-b no idea

– trans

– women with strap-on

 

33 (62%)

14 (27%)*

6 (11%)

 

34 (59%)

7 (12%)

17 (29%)**

67 (60%)

21 (19%)

23 (21%)

Note: * p<0.05 vs women.

**p<0.05 vs men.

In the women the androgyny is imagined more significantly as women with the strap-on, while in the men as trans.

Table 4: SIP values (X± SE) in relation to the main characteristics of men and women.

Variables

Men

Women

N. X ± SE

N. X ± SE

Sex

53 3.9 0.5

58 3.3 0.6

Age
<50

26 4.7 0.4

31 3.5 0.5

>50

27 3.9 0.5

27 3.2 0.7

Religion
Christian

32 4.3 0.5

42 3.3 0.6

No faith

13 3.9 0.4

9 3.5 0.6

Other religion

8 3.0 0.6

7 3.0 0.7

Marriage Status
Married

20 4.2 0.5

25 2.2 0.4**

Single

24 4.5 0.4

23 3.6 0.2

Separate/divorced

9 3.3 0.6

10 5.1 0.6

Study Degree
Low

16 3.9 0.4

17 3.7 0.6

Middle

17 3.5 0.5

19 3.3 0.6

High

20 4.2 0.4

22 4.0 0.5

Profession
Practical

27 3.3 0.5

26 3.1 0.4

Intellectual

26 4.2 0.4

32 4.4 0.2

Affective Status of Relatives
Unity

44 4.4 0.4

48 3.8 0.3

Separation

9 3.0 0.7

10 2.3 0.4*

Note: ** p<0.05 vs. single women, p<0.01 vs. separated women.

* p<0.05 vs. united relatives.

The only statistically significance difference were those concerning the marriage status and the professional situation. In more detail, separate and divorced women showed SIP mean values significantly higher than those found in married women. On the contrary separate or divorced men showed lower SIP mean values than the married ones, even though the difference was not significance. In addiction both women and mans with an intellectual profession showed statistically significant higher SIP values then those with a practical professional. Finally, as far as an affective status of relations, relative separation was associated with a statistically significance redaction in SIP mean values in the only women (p<0.005). Table 5 shows SIP values in relation to the man androgyny-related fancies and the difference between man and women. SIP mean values were significantly higher in subjects who referred pleasure for Pegging (PG) than in those who did not like it in the only men (p<0.001), whereas in women the difference was not statistically significance. On the same way SIP values were significantly higher in men who referred pleasure for anal relation then in those who had no pleasure for it (p<0.005), whereas no significantly difference occurred in women. On the contrary both men and women, who referred pleasure for either pegging and anal relation showed statistically significance higher SIP values than those who had no interested for both pegging and anal relation ( p<0.001).

Table 5: SIP values (X±SE) in relation to the main androgyny-related fancies.

Type of Fancies

Men

Women

N. X ± SE

N. X±SE

Pleasure for pegging
Yes

15 6.8 0.4*

10 6.9 0.8

No

25 2.3 0.3

39 3.3 0.6

Pleasure for anal relation
Yes

8 6.7 0.6**

7 4.8 0.8

No

45 2.6 0.6

51 3.9 0.3

Pleasure for both pegging and anal relation
Yes

6 7.5 0.6*

5 8.0 0.5*

NO

36 2.5 0.5

46 3.6 0.4

Pleasure for sexual trio
yes

43 4.5 0.3

26 4.9 0.6**

no

10 2.3 0.8

32 1.6 0.3

Androgyny imagination
Like transexual men

13 5.5 0.5

8 3.6 0.8

Like woman with strap-on

7 6.3 0.8

16 7.1 0.4*

No opinion

33 3.3 0.4

34 1.7 0.5

Note: * p<0.001; ** p<0.05.

The pleasure for trio was associated with higher SIP values than in those who showed no interested for trio, even though they were statistically significantly higher in the only women (p<0.005). Finally subjects who had no imagination of androgyny showed SIP values lower than those who had same imagine of androgyny. But the SIP values were statistically significant higher with respect to subject, who referred no androgyny imagine in the only women, who had the vision of androgyny like a woman with a strap-on (p<0.001), whereas no difference occurred in women who imagined the androgyny like a transgender man. The maximal SIP values occurred in both men and women, who referred pleasure for both pegging and anal relation as well as in the only women who had androgyny imagine as woman with a strap-on. Table 6 shows SIP values in subjects with pleasure for pegging and anal sexual relation or both fancies in relation to their religion. Christian men, who referred pleasure for pegging or for anal relation showed statistically significant higher SIP values than men with other religion or no religion who showed the same fancies, whereas no difference occurred in women. On the contrary both Christian man and women who had pleasure for both pegging and anal relation showed statistically significant higher SIP values than subjects with the same fancies, but who were without religion or of other religion.

Table 6: Pleasure for pegging and anal sexual coitus in relation to androgyny image in men and women.

Androgyny Image

 Women

 Men

pleasure for pegging pleasure for anal relation

pleasure for pegging pleasure for anal relation

Like transexual man

2/8 (25%)* 2/8 (25%)

6/13 (46%) 3/13 (23%)

like woman with strap-on

8/16 (50%)** 4/16 (25%)

2/7 (29%) 2/7 (29%)

no image

2/34 (7%) 4/34 (12%)

9/33 (27%) 3/33 (9%)

Note: **p<0.01 vs. women without androgyny image; *p<0.05 vs. women without androgyny image.

Discussion

Even though limited to a relatively low number of normal subjects, this preliminary study seems to suggest that the maximal sexual imagination potency is associated with the fancies related to a change in the common manner to consider the male -female relation and interpretation of male-female identity and role, such as pleasure for pegging and sexual anal relation, which could be considered as an expression of the androgyny imagine. In more detail, the sexual imagination has appeared to be negatively influenced by the separation of relatives in the only women. The marriage was also associated with an evident decline in SIP values. On the contrary, the separation, the divorce and the single life were all associated with an evident increase in the sexual imagination power. In addiction this study shows that the pleasure for pegging was associated with the higher SIP values. Moreover, the apparently higher SIP values in Christian people than in those with other religion or no religion, would demonstrated the existence of interaction between spirituality and erotic profile, by suggesting that the interpretation of the Spirit may influence the human psychosexual life. Finally, this study seems to excluded that the men may have more sexual fantasies than women.

Then further studies would be required to analyze the sexual world of women. In fact, male subjects could have more sexual fantasies with the respect to women only from a quantitative point of view, but women could express more fantasies from a qualitative point of view, even though women are generally less unconscious on their sexual dimension. Unfortunately, most studies carried out up to now on the human sexuality, has been generally limited to the only sexual behaviour and orientation, rather than to explore the dimension of the sexual unconscious fancies [9-11]. Therefore, on the basis of the results of this study obtained in a group of healthy subjects, it would be interesting to evaluate in future studies the sexual profile and fancies occurring in the main human systemic diseases, namely cancer and autoimmunity.

In conclusion, by considering the difference between males and females in relation to androgyny imagination, this preliminary study would suggest that the original sexual fancy could be constituted of the image of androgyny itself, which could connected in the same sexual imagination homo and hetero fancies. Then, the only fancy, which may integrate hetero and homosexual fancies, in a same sexual imagination and excitation, is that of the androgyny status, which would constitute the origin of the human psychosexuality.

References

  1. Meuwissen I, Over R (1991) Multidimensionality of the content of female sexual Behav Res Ther 29: 179-189. [crossref]
  2. Smith D, Over R (1991) Male sexual fantasy: Multidimensionality in content. Behav Res Ther 1991; 29: 267-275. [crossref]
  3. Toledano R, Pfaus J (2006) The Sexual Arousal and Desire Inventory (SADI): A multidimensional scale to assess subjective sexual arousal and desire. Journal Sex Med 3: 853-877. [crossref]
  4. Goldey KL, Van Anders SM (2012) Sexual arousal and desire: Interrelations and responses to three modalities of sexual stimuli. Journal Sex Med 9: 2315-2329. [crossref]
  5. Hartmann U (1994) Imagination and desire: Reflections on the determination of male sexuality. Psychother Psychosom Med Psychol 44: 403-410. [crossref]
  6. Meana M (2010 Elucidating women’s (hetero) sexual desire: Definitional challenges and content expansion. Journal Sex Res 47: 104-122. [crossref]
  7. Carvalho J, Gomes AQ, Laya P, Oliveira C, Vilarinho S, et al. (2013) Gender differences in sexual arousal and affective responses to erotica: the effects of type of film and fantasy instructions. Arch Sex Behav 42: 1011-1019. [crossref]
  8. Tseng YH, Cheng CP, Kuo SH, Hou WL, Chan TF, et al. (2019) Safe sexual behaviors intention among female youth: The construction on extended theory of planned behavior. Adv Nurs. [crossref]
  9. Storms MD (1980) Theories of sexual orientation. Journal Person Soc Psychol 38: 783-792.
  10. Ngun TC, Vilain E (2014) The biological basis of human sexual orientation is the a role for epigenetics. Adv Genetics 86: 167-184. [crossref]
  11. Mitricheva C, kimura R, Logothetis NK, Noori HR (2019) Neural substrates of sexual arousal are not sex dependent. Proc Natl Acad Sci USA 116: 15671-15676. [crossref]
fig 2

Implementation of the 1-Hour Sepsis Bundle and Evaluation of Staff Adherence: An Evidence-based Practice Quality Improvement Project

DOI: 10.31038/IJNM.2021211

Abstract

Objective: To implement an evidence-based sepsis implementation tool for nurses to use when initiating treatment for patients diagnosed with sepsis and to track time of administration of the Surviving Sepsis Campaign (SSC) 1-hour bundle interventions, mortality, and length of stay.

Design: An evidence-based practice quality improvement (EBP-QI) project.

Setting: A 38-bed observation/short stay unit within a 700-bed hospital in New York City.

Intervention: A sepsis implementation tool was created based on SSC 2018 1-hour guidelines. Sepsis champions delivered education on sepsis recognition, treatment, and management to the nurses, physicians, and other staff.

Main outcome measure: Following the practice change, audits of the sepsis implementation tool were done weekly for 5 months. A target of 85% completion for each of the bundle interventions was set.

Results: From May 8, 2019 to October 8, 2019 a total of 38 patients were diagnosed with sepsis in the emergency department or observation/short stay unit and of these 90% (n=33) had blood cultures drawn twice, 85% (n=34) had stat lactate, and 73% (n=26) had broad-spectrum antibiotics started within 1-hour. The target of 85% was met for 2 of the 3 bundle interventions.

Conclusion: The sepsis 1-hour bundle is best practice however, completion of the bundle interventions within 1-hour of sepsis diagnosis is challenging. In this EBP-QI project, the healthcare staff was successful in completing the majority of the bundle interventions within the hour. Future improvement efforts will focus on improving the initiation of antibiotics within 1-hour of sepsis diagnosis.

Introduction

In the US, sepsis, severe sepsis, and septic shock are associated with 6%, 15%, and 34% mortality rates and respective costs of $16,000, $25,000, and $38,000 per hospitalization [1]. Sepsis is a deadly and costly hospital condition that can be mitigated with early identification and initiation of lifesaving treatment. In 2004 there was a global initiative to bring together critical care and infectious disease experts in the diagnosis and management of sepsis to create the initial Surviving Sepsis Campaign (SSC) guidelines to improve awareness and outcomes of sepsis [2]. Initial guidelines included goal directed patient resuscitation during the first 6 hours after recognition, appropriate diagnostic studies to identify cause before initiating antibiotics, and early administration of antibiotics, all to be done as soon as possible within the first 24 hours. Subsequent recommendations in the following years grouped similar interventions into 6 and 3-hour bundles with the expectation that the interventions would all be completed within these shorter time frames. In 2018, the SSC developed the 1-hour sepsis bundle because the 3-hour window was associated with a significant increase in in-hospital mortality [3]. The bundle calls for lactate measures, blood cultures, antibiotics, if appropriate fluid resuscitation and vasopressors within 1-hour of sepsis recognition [3]. In 2015, The Centers for Medicare and Medicaid implemented its core bundle measure for Severe Sepsis and Septic Shock Early Management Bundle linking reimbursement to a hospitals’ ability to complete the SSC bundle interventions within 3 hours of sepsis recognition [4]. To help meet this quality measure, hospitals may benefit from initiatives aimed at improving the process of sepsis care and bundle completion within the 1 to 3-hour window. Meeting the SSC’s 1-hour implementation goal can be challenging. Historically, nurses have been responsible for initiating a sepsis protocol [5]. There are tools to facilitate timely initiation of bundle interventions [6]. The emergency room nurse sepsis screening tool significantly improved the time to bundle completion in patient’s diagnoses with severe sepsis and septic shock [7]. The nurse initiated emergency department sepsis protocol significantly reduced time to lactate measurements and antibiotic administration [8]. These tools are based on the five steps outlined in the SSC’s 2018 1-hour bundle.

Objective

The purpose of this project was to implement an evidence-based sepsis implementation tool for nurses to use when initiating treatment for patients diagnosed with sepsis and to track time of administration of the bundle elements, mortality, and length of stay.

Methods

Project Design

This EBP-QI project was completed over a 10-month period using a prospective before and after design. This consisted of a 5-month baseline period and a 5-month QI period. In the baseline period, the evidence-based sepsis implementation tool was created, and the sepsis champions delivered education on sepsis recognition, treatment, and management to the nurses, physicians, pharmacists, and other staff, and assessed sepsis knowledge. In the QI period, audits of the sepsis implementation tool were done weekly.

Setting

The Observation/Short Stay Unit (O/SSU) was the project setting. This unit is part of an 800-bed acute-care tertiary hospital in New York City that serves 37,000 patients annually. The hospital has several medical specialties (e.g. cardiology including care of vascular conditions, neurology, and oncology). The O/SSU, is considered part of the emergency department and can take up to 38 patients. O/SSU employs 71 nurses, with an average of 12-14 nurses and 2 charge nurses per shift. There are 2-3 patient care technicians per shift and 1 patient unit assistant for the day and evening shifts. The average daily census ranges from 15 to 35 patients and varies by the time of day. There is a unit nurse manager, assistant nurse manager, and a nurse manager administrative support supervisor. There is a pharmacist on the unit from 0800 to 2400. Between 0001 and 0759, pharmacists are accessible via telephone, and medications are sent via a pneumatic system. Common O/SSU diagnoses include; falls, acute coronary syndrome, transient ischemic attack, chronic obstructive pulmonary disease exacerbation, congestive heart failure, and skin, lung, and urinary infections. The average quarterly sepsis rate was 528 cases for the years 2015, 2016, 2017 and 2018, and 84% of these cases were patients with sepsis present on admission.

Participants

Participants were patients entering the hospitals’ emergency department from May 8, 2019 to October 8, 2019 and transferred to the O/SSU and met the following SSC sepsis screening criteria. Patients with 2 or more systemic inflammatory response syndrome (SIRS) criteria or suspected infection defined as sepsis [9] or with septic shock/sepsis-3 defined as organ dysfunction with SIRS criteria (SSC).

Intervention

The evidence-based sepsis implementation tool, displayed in Figure 1, was created using SSC’s 2018 guidelines and other evidence source. The nurse immediately notifies the provider when a patient has a positive screen and initiates the sepsis implementation tool with the provider in a safety huddle at the patient’s bedside. The nurse and provider collaborate to provide the first 4 interventions within 1-hour. The nurse documents the time each intervention was completed and initials. Providers document their reasoning for not initiating fluids. The next section of the tool is for nurses to document if a critical care consult was initiated during the first hour. At the 1-hour mark, the nurse and provider re-huddle and perform the next 5 interventions (e.g. review the lab results) to determine if the patient sepsis is worsening. The provider is then required to write a sepsis note in the electronic health record that includes the patient’s presenting condition, completed interventions and subsequent plan of care.

fig 1

Figure 1: Evidence-Based Sepsis Implementation Tool.

Quality Improvement Process

We used the Revised Iowa Model of Evidence Based Practice to guide this EBP-QI project. The Iowa model uses EBP and QI processes to promote excellence in healthcare [10,11]. This project was led by three individuals with complementary areas of expertise. The project manager was a doctoral-level nursing student with expertise in sepsis recognition, treatment, and management. The physician partner has extensive leadership knowledge and has led numerous multidisciplinary quality and safety initiatives in hospitals. The academic partner has an EBP certification, clinical expertise in critical care nursing, and expertise in dissemination.

Key stakeholders were the staff nurses and healthcare providers in the O/SSU. To gain their buy in and to form a group of sepsis champions, nurses were reminded that they could submit this project for promotion through a nursing professional advancement program. This strategy resulted in four staff nurses agreeing to be sepsis champions. Physicians and physician assistants interested in sepsis management were also included in the group of champions to help guide and lead other healthcare providers. Initially pharmacists were informed of the QI project to help expedite interventions. They were added as key stakeholders during the 5-month QI period when nurses reported delays in obtaining antibiotics. Our educational strategy was multidimensional and completed over several months. During the first 2 months, we assessed baseline knowledge of sepsis recognition, treatment and management, and attitude toward sepsis care using a questionnaire (See Supplement) that was given to O/SSU nurses and healthcare providers (n=101). We held several meetings to review and discuss questionnaire answers. For the next 3 months, the project manager and sepsis champions gave updates and education as needed at monthly staff meetings, provider meetings, and in real-time in the O/SSU using an iPad. The iPad contained the sepsis checklist, a power-point presentation on sepsis from [9], the sepsis questionnaire answers, and the EBP-QI project goals and intervention description. The iPad was and was left in a central place in the O/SSU that staff could access at any time throughout the 10-month project period. The education for nurses and healthcare providers included review of sepsis recognition and diagnosis, the 1-hour bundle interventions, and the nurse’s role in management including the new sepsis implementation tool. Nurses received additional education on how to complete the sepsis implementation tool and an explanation of the buddy badge strategy to facilitate timely completion of the 1-hour bundle interventions. A badge buddy is a laminated card that attaches to an existing hospital identification badge and lists the SIRS criteria and 1-hour bundle interventions that was given to all O/SSU nurses (Figure 2).

fig 2

Figure 2: Process Map: Sepsis Algorithm 1-hour Bundle for O/SSU.

The project manager and sepsis champions held monthly group meetings throughout the 10-month project to review the project progress and address any barriers. Champions followed-up with the nurses of patients with delayed bundle interventions within a week to debrief. Monthly emails were sent to all staff with updates on audits and current status of the project including staff feedback regarding barriers to the 1-hour bundle and how to overcome them.

Evaluation Measures

Baseline knowledge of sepsis recognition, treatment and management, and attitude toward sepsis care was measured using an established questionnaire (See Supplement). Adherence was measured by how often the nurses completed the initial lactate measure, blood cultures, and antibiotic administration within the 1-hour window of the patient being diagnosed with sepsis. We set a target of 85% of cases having all interventions completed within 1-hour. Length of stay was measured as the total number of days spent in hospital and mortality was measured as death occurring in the hospital.

Data Collection and Analysis

The completed sepsis implementation tools were retrieved weekly from the O/SSU. The project manager reviewed the tools and checked the electronic health record for 1-hour bundle intervention completion times. Data on mortality and length of stay were obtained after completing chart reviews for the patients included during the QI period (n=38). These data were inputted into an Excel spreadsheet and descriptive statistics were calculated for each outcome [12].

Ethical Considerations

Differentiating Quality Improvement and Research Activities Tool was used to determine that this was a QI project. The project aim was to improve sepsis care for all patients using evidence-based recommendation and no personal health information was collected therefore it did not qualify as human subjects’ research and institutional review board was not needed. Per hospital policy, the project was reviewed and approved by the institution’s Chief Nursing Officer [13].

Actions Taken to Barriers during Baseline QI Period

Table 1 displays the barriers identified by nursing, physicians, and physician assistants during the baseline QI period. These barriers fell into the categories of staffing, factors causing delays and patient specific concerns. Actions taken include; the requirement of two nurses to initiate sepsis protocol interventions, pharmacy added as key stakeholder, nurse to notify pharmacy of patient with sepsis to expedite interventions, notification of 2nd lactate included in the EHR, IV team able to place midlines, central lines, IO kit accessible on the unit, and additional vital sign machines provided. Providers are more vigilant with screening patients prior to arrival. Questionable admissions are evaluated while in the ED by O/SSU providers.

Table 1: Staff Identified Barriers and Actions Taken During Baseline Period.

Nurses Attending Physician Physician Assistant Pharmacy Actions Taken
Staffing
Lack of staff to assist with other patients Sometimes lack of adequate nursing staff 2 Nurses are required to carry out sepsis protocol interventions
Factors causing delays
Pharmacy delays Pharmacy delays Pharmacy delays Delay in delivery of antibiotic Pharmacy added as key stakeholder, nurse to notify pharmacy of patient with sepsis
Multiple high acuity patients on the unit at once affecting timing of orders placed 2nd lactate check delays Notification of 2nd lactate requirement will be included in the EHR
Delay in patient recognition Handoff from emergency department to O/SSU inaccuracy Time to place central line /IV access IV team can place lines. New IO kit added to the unit.
Lack of equipment (Vital sign machine, IV access) Additional equipment is on the unit
A new electronic method of sepsis protocol initiation and documentation was introduced during the QI period throughout the hospital Survey sent to all staff to evaluate knowledge of electronic sepsis alert system and education on its use will be provided.
Patient specific concerns
Patients are septic prior to arrival to O/SSU Providers are more vigilant with screening patients prior to arrival. Questionable patients are evaluated in the ED.
Trying to manage patients that require aggressive fluid resuscitation and patients that can be conservatively managed with judicious fluid resuscitation
Concern for heart failure worsening with IV fluids

Results

A total of 38 patients entered the hospital’s emergency department from May 8, 2019 to October 8, 2019, transferred to the O/SSU, and had a diagnosis of sepsis. Table 1 displays the completion rates for required bundle interventions in patients diagnosed with sepsis. Blood cultures were completed within an hour on all patients. Initial lactate measures were completed within 1-hour in more than 85% of cases. In 19 of the 26 patients, broad-spectrum antibiotics were administered within 1-hour. The median hospital length of stay was 5 days and no patients died. Staff knowledge scores include a mean score of 57% (0.216) for nurses 60% (0.213) for PA’s and 61% (0.222) for MDs (Table 2).

Table 2: Completion Rates of 1-hour Sepsis Bundle Interventions after Initiating the Sepsis Implementation Tool.

May 8, 2019 to October 8, 2019
Bundle Interventions n=38
f(%)
Blood cultures x 2 (n=38) 33(100)*
Initial lactate (n=34) 29(85.29)+
Broad spectrum antibiotics (n=26) 19(73.08)a
Hospital length of stay (median, range) 5 days (1 to 76 days)
Mortality 0

*5 had blood cultures drawn before sepsis diagnosis

+4had lactate done before sepsis diagnosis

a12 had antibiotics before sepsis diagnosis

Discussion

We successfully implemented the SSC 1-hour sepsis bundle in our O/SSU. Use of the evidence-based sepsis implementation tool for nurses resulted in exceeding the 85% benchmark for initial lactate measure and blood cultures within 1-hour of the patient being diagnosed with sepsis. However, antibiotic administration within the 1-hour window was achieved 73% of the time. Several experts have proclaimed that the goal for 1-hour antibiotic administration can be unrealistic in certain circumstances and may result in unnecessary antibiotic administration for patients who are not truly septic. Talan suspect that poorer outcome rates will not increase immediately without 1-hour antibiotic therapy for many patients with sepsis. The recommendation is to focus on gaining more insight by improving diagnostic accuracy including antibiotic decision making [14]. The Infectious Disease Society of America (IDSA) withheld its support for the SSC in 2018. One of the reasons includes when and how to use antibiotic prophylaxis and duration of therapy [15]. Additionally, in a 2015 systematic review and meta-analysis authors demonstrated no significant survival benefit of administering antibiotics within 3 hours of ED triage or within 1 hour of septic shock recognition in severe sepsis and septic shock [16]. Moreover, the 1-hour bundle poses challenges to providers to send virtually every SIRS positive patient through a rapid sepsis screening which may not be feasible in certain hospital settings including the ED [17].

The median length of stay was 5 days for this quality improvement project. Studies report a decrease or no change in LOS with protocolized care. Threatt [7] reported no change in LOS after implementing the use of a Sepsis Identification Tool using SSC’s guidelines. In contrast, the median length of stay was significantly shorter in the post implementation group in a descriptive retrospective review using qSOFA [18]. Another retrospective observational study reported a decrease in the median LOS after an introduction of a new triage model for sepsis patients from 9 to 7 days [19]. The implementation of an electronic sepsis alert system in the EHR also resulted in a decrease of mean LOS for patients with sepsis from 10.1 to 8.6 days following alert introduction in a time-series study of ED patients with severe sepsis and septic shock [20]. In terms of mortality rate, there were no deaths among the patients diagnosed with sepsis during the QI period. There is conflicting data regarding the relationship between sepsis bundle adherence and mortality rates. The evidence regarding mortality rates demonstrate either no change, or a decrease in the rate. Bruce et al reported no in-hospital mortality rate differences between pre-and post-protocol implementation. Park et al performed a systematic review and meta-analysis on the effect of early goal directed therapy (EGDT) using SSC guidelines for treatment of severe sepsis and septic shock and also found no significant difference in mortality between EGDT and control groups. Another study done at a tertiary hospital in Brazil found an overall 44% lower mortality rate and shorter ICU stays for individuals who received a 3-hour bundle compared with others who did not. Moreover, Milano et al performed an observational study and found that among 4,582 patients with sepsis, the overall mortality was lower among those who received bundle-adherent care compared to those who did not.

There were several barriers we encountered during the QI period including pharmacy delays in delivery of antibiotics, delay in patient recognition, 2nd lactate check delays, and lack of adequate nursing staff (Table 1). Several previous studies report similar barriers. A study [21] found that doctors and nurses demonstrated difficulty in identifying septic patients. Results of a cross sectional descriptive study using a self-completed questionnaire given to doctors and nurses related to sepsis identification, principles, resources, skill and education demonstrated that there was a lack of adequate nursing staff, and resources to deliver interventions within the hour [22-30].

Limitations

We focused on patients who arrived through the emergency department and we sent to the O/SSU so the impact of sepsis implementation tool on clinical outcomes in other units (e.g. emergency department, intensive care) is unknown.

A new electronic method of sepsis protocol initiation and documentation was introduced during the QI period throughout the hospital. This may have contributed to an inaccuracy in the documentation of the number of actual patients presenting with sepsis on the O/SSU due to the lack of checklist or electronic use in the EHR.

It is also difficult to determine if having pharmacy as key stakeholders earlier in the project would have affected time to antibiotics. The length of the QI period may also contribute to cyclical differences affecting results. Baseline data does not adequately represent the number of patients that presented with sepsis on the O/SSU. It is difficult to determine which components of the 1-hour bundle will affect patient outcomes. Based on the results, further investigation is needed to determine if the 1-hour bundle affects mortality and LOS.

Conclusion

Utilization of the sepsis 1-hour bundle has demonstrated an increase in timely sepsis management during the QI period. An electronic form of the checklist was added to the EHR system during a new QI cycle, eliminating the need for a paper tool. Completion of the bundle interventions within 1-hour of patients presenting with sepsis is challenging. In this practice change project, the healthcare staff was successful in completing many of the bundle interventions within the hour. Future improvement efforts such as inclusion of pharmacy alert as part of the EHR tool will focus on improving the initiation of antibiotics within 1-hour of sepsis diagnosis

Funding

The authors have no funding source to proclaim.

Conflict of Interest Statement

The authors have no conflict of interest to proclaim.

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fig 9

Detailed Hydrogeological and Hydrochemical Reassessment of Coastal Basins of Southwestern Nigeria

DOI: 10.31038/GEMS.2021312

Abstract

Detailed knowledge of hydrogeological and hydrochemical characteristics of coastal basins is the prime basis for improved water quality management. This review presents a detailed hydrochemical and hydrogeological reassessment of coastal basins of southwestern Nigeria. Results indicate that the Abeokuta group is the oldest Formation and comprises the Ise, Afowo, and Araromi Formations. Despite the marked spatial variability of these formations, their lithology remains relatively the same. Also crucial in this area is the deltaic Formation, which contains alluvial deposits. The Ogun and Osse-Owena Basins are the central coastal basins in western Nigeria. Though the Osse-Owena Basin has not been fully explored hydrogeologically, it is not associated with good groundwater storage, since basement complex rocks underlie it. These coastal basins were further grouped into the upper surficial aquifer system; and the intermediate aquifer system. Also found in this area is the crystalline Basement Terrain. From the hydrogeologic point of view, unweathered basement rock contains negligible groundwater; though, a significant aquiferous unit can develop within the weathered overburden and fractured bedrock. The general hydrogeological condition in the area showed that groundwater is very localized. These basins’ hydrochemistry showed groundwater is relatively good in terms of its suitability for drinking, industrial and agricultural uses. Groundwater classification based on physical parameters showed mixed results, though groundwater sources are most suitable for drinking. Due to the increasing urbanization and other forms of land use in the area, preventive measures must protect groundwater from depletion.

Keywords

The Abeokuta Group; The Ilaro Formation; The deltaic formation and alluvial deposits; Hydrogeological condition; Groundwater chemistry

Introduction

Water is an indispensable prerequisite of life deemed an economic resource rather than a social good [1-4]. Even though freshwater storage in the ecosystem remains steady, freshwater pressure such as subsurface water has experience expansion due to population increase, development, dry season farming, and household activities [1,5]. Though, the quality and quantity of this economic resource are likewise critical factors in the perspective of modern water quality management, especially in coastal areas [1,6,7]. Factors such as quality of recharge, rock weathering and mineralogical composition of the underlying rock types, land use, and climate change usually play a vital role in groundwater chemistry, affecting groundwater quality [1,8].Understanding groundwater evolution involves the hydrochemical analyses of major dissolved ions of groundwater, discovering the principal geochemical processes, and evaluating the impacts of land-use types on groundwater quality in various regions of the world [1,9,10]. Many factors such as rock-water interactions, climate changes, precipitation or dissolution of mineral species, the intensity of chemical weathering of the different rock types, groundwater resources, exchange reactions, and human activities, prolonged residence time in the aquifer and saltwater intrusion account for the variability of hydrochemistry of groundwater in coastal aquifers [1,11-14]. The hydrochemistry of coastal aquifers of southwestern Nigeria is highly variable due to variation in geological configurations and human activities. Groundwater contamination stemming from human activities, and inadequate sewage discharge is on the rise in Nigeria [15-17]. Consequently, groundwater utilized for domestic uses is problematic and hence calls for scientific scrutiny. Examining hydrochemistry and groundwater quality in coastal regions is crucial to monitor and detect groundwater contaminants sources [18-21]. Groundwater quality analysis in Abeokuta South, Nigeria by Emenike, Nnaji [17] showed that water quality parameters exhibited wide variations from location to location. Sodium, magnesium, iron (++), and EC showed the most violation of drinking water quality standards. Anthropogenetic actions are escalating threat to groundwater quality and thus call for routine monitoring of groundwater in Abeokuta. Statistical and hydrochemical modelling of groundwater quality southwestern Nigeria showed a conjunctive imprint of anthropogenic and geogenic activities influencing the increasing dissolved chemical constituents in the groundwaters [1]. Hydrochemical analysis of groundwater quality along the coastal aquifers of southwestern Nigeria revealed that the primary process influencing the hydrochemistry is saltwater invasion while mineral dissolution and rainwater infiltration play less significant roles [22]. Nitrate controls biogeochemical process over Fe, and its concentrations are above the World Health Organization’s (WHO) standard for drinking water in most water samples in the Shallow Coastal Aquifer of Eastern Dahomey Basin, Southwestern Nigeria [8]. Integrated geophysical and geochemical investigations of saline water intrusion in a coastal alluvial terrain of southwestern Nigeria by Oyeyemi, Aizebeokhai [23], showed a lateral invasion and up coning of saline water within the aquifer systems. The water is alkaline, and salinity is high with a very high electrical conductivity. The impact of anthropogenic activities over groundwater quality of a coastal aquifer in Southwestern Nigeria indicated some metals such as Cu, Fe, Mn, Al, Zn, Pb, As, Cd, Cr and H2S) were detected in only some shallow wells. However, the effects on public health are still undocumented. The drainage, geology, chemistry and associated human factors play a vital role in the extent of shallow groundwater contamination in the area [24]. Potential sources of contaminants to the groundwater such as weathering of bedrocks, leachate from septic tanks and dumpsites, runoff of materials, hardness, nutrients from agricultural lands, and chlorine pollution were identified in basement rocks of Osun State, Southwest, Nigeria [25]. Groundwater in Abeokuta Southwestern, Nigeria, is not suitable for drinking but has good irrigation quality [26]. Assessment of the risks of groundwater pollution in the coastal areas of Lagos, southwestern Nigeria, showed that the lower aquifer is mostly affected with saline water intrusion while the phreatic aquifer pollutions are both from anthropogenic and saline sources [27]. While the hydrochemistry of coastal aquifers is well researched, studies combining the hydrogeological and hydrochemical analysis of groundwater are rare. This review presents a detailed hydrogeological and hydrochemical analysis of coastal basins of southwestern Nigeria.

Geographical Setting

Southwestern Nigeria’s coastal basins constitute the Benin Embayment’s eastern portion, forming an arcuate coastal basin [28-30]. The onshore parts underlie the coastal plains of southwestern Nigeria, Benin, and Togo [31]. The Okitipupa Basement Ridge separated the Benue Trough’s embayment until the Campanian-Maastrichtian period when subsidence and marine transgression united the two basins (Figure 1). Some basement chunks that underlie the Dahomey Embayment are displaced towards the basin’s northern and southern axis and the offshore [31]. An inventory of water resources in southwestern Nigeria confirms that water supplies are generally from surface sources, such as dams and weirs in streams and rivers. Borehole and shallow-wells, tapping groundwater, are used to complement the short supply from surface water. Existing data from UNICEF-water assisted projects suggests that boreholes in southwestern Nigeria are intended to tap water from the weathered regolith or the jointed/fractured basement rock aquifers. The Coastal Basins are comprising of the Osse, Ogun and Yewa River Basins.

fig 1

Figure 1: Coastal Basins of Southwestern Nigeria. After Ola-Buraimo, Oluwajana [31].

These basins are grouped as the geological formations outcrop parallel to each other in an east-west direction and transgressing the basins in the same Coastal River Basins. The Osse River Basin is about 51400 sqkm in landmass. On the other hand, the Ogun River Basin has about occupied an area of about 88800 sqkm. The two basins are drained by many dendritic flowing streams, which empty their water into the sea. The Osse Basin is perhaps the lateral equivalent of the Benin-Owena River Basin [32]. The main drainage in the Osse-Osiomo systems is little streams and rivulets flowing straight into the sea and forming part of the Delta composite. Parallel streams with the same pattern drained the Ogun Basin, most protuberant being the Ogun, Osun, and Yewa river systems. This basin’s climate is archetypally coastal with very high rainfall, ranging from 2250 mm in the north to over 2600 mm along the coastal line. The relative humidity is very high, >80%. The mean annual temperature is about 21°C [32].

Geological Setting

The coastal basin of southwestern Nigeria is restricted to the west by the Ghana ridge, which is an extension of the Romanche Fracture Zone; and eastwards, by the Benin Hinge line, a basement escarpment which splits the Okitipupa Structure from the Niger Delta Basin and also marks the inland extension of the Chain Fracture Zone (Figure 2). The Nigeria portion of the basin spreads from Nigeria’s boundary and Benin’s Republic to the Benin Hinge Line. The stratigraphy of the sediments in the Nigerian sector of the Benin Basin is contentious. Different stratigraphic names have been suggested for the same Formation in different localities within the basin [31]. This problem can be attributed to the lack of adequate borehole reporting and satisfactory outcrops for comprehensive stratigraphic studies. As a result, the stratigraphy of the entire basin was divided into three chronostratigraphic compendia. These are (i) pre-lower Cretaceous folded sediments and (ii) Cretaceous sediments and Tertiary sediments (Figure 3).

fig 2

Figure 2: The Nigerian portion of Dahomey (Benin) Basin. After Ola-Buraimo, Oluwajana [31].

fig 3

Figure 3: A Lithologic section of Arimogija – Okeluse exposure. After Ola-Buraimo, Oluwajana [31].

In the Nigerian sector of the basin the Cretaceous sequence, as compiled from outcrop and borehole records, consists of the Abeokuta Group, further divided into three geologic units: Ise, Afowo, and Araromi Formations. Ise Formation overlies the basement complex unconformably and comprises of coarse conglomeratic sediments [33,34]. Afowo Formation is composed of transitional to marine sands and sandstone with variable but thick interbedded shales and siltstone [35,36]. Araromi is the uppermost Formation and comprises shales and siltstone with interbeds of limestone and sands. The Tertiary sediments comprise Ewekoro, Akinbo, Oshosun, Ilaro, and Benin (bare coastal sand). The Ewekoro Formation comprises fossiliferous, well-bedded limestone while Akinbo and Oshosun Formations are made up of flaggy grey and black shales [37,38]. Glauconitic rock bands and phosphatic beds define the boundary between the Ewekoro and Akinbo Formations. The Ilaro and Benin Formations are predominantly coarse sandy estuarine, deltaic, and continental beds [31].

The Abeokuta Group

The sedimentary Formation of southwestern Nigeria, otherwise known as the Eastern Dahomey Basin, extending from the Nigeria/Benin border in the west of Makun-Omi and broken in the east. The Abeokuta Group is the oldest Formation, and it comprises of main sands with intercalations of argillaceous sediments, which lie unconformably on the crystalline basement complex formation [39,40]. This group can be subdivided into three geologic units;

  • The lse Formation, which overlies the basement complex and consists of pre-drift sediments of grits and siltstones and overlain by coarse-medium grained, loose sands interbedded generally by kaolinitic clays;
  • The Afowo Formation comprises intermediate to marine sands and sandstone with variable but thick interbedded shales and siltstones. The shale to sand ratio Increase upwards with the sediment becoming highly fossiliferous. The whole arrangement represents paralic sedimentation; and
  • The Araromi Formation, which is the youngest of the stratigraphic sequence, comprises shales and siltstones with Interbeds of limestone and sands. It Is opulently fossiliferous.

The Abeokuta Formation usually has a basal conglomerate with about 1 meter thick and mostly comprises poorly rounded quartz pebbles with a silicified and ferruginous sandstone matrix or a soft gritty white clay matrix [39]. The formation outcrops where there is no conglomerate, a coarse, poorly sorted pebbly sandstone with copious white clay establishes the basal bed. The superimposing sands are coarse-grained, clayey, micaceous, and ill-sorted, suggestive short distances of transportation, or short duration of weathering and possible derivation from the granitic rocks located to the northwards. Upward stratigraphically along with the outcrop areas, the shale content increases progressively in some places, particularly around Ijebu-Ode. Close to the embayment’s eastern margin, thin beds of lignite may be present together with a high impregnation of bitumen in the sand and clays. These features are displayed in most of the eastern part of the embayment, locally referred to as Tar sand. The basal beds’ upper horizons were found in some outcrops to contain thin beds of Oolitic ironstone. The stratigraphic dating from palynological studies indicates that the ages of the lower and upper limits of the neostratotype Formation are late Albian and late Senonian. This is a characteristic species for the late Turonian-early Senonian of the Ivory Coast and was reported from Gabon’s Coniacian-Campanian. Therefore, this pollen occurrence implies a late Senonian age for the Formation’s upper layers [39].

The Ise-Afowo, Araromi, Akinbo, and Ilaro Formations

Ise and Afowo Formations are similar; thus, the two geologic units are treated together in most literature [39,41,42]. The two formations contain sand and sandstones, but the latter is interbedded by thick of shale units. Similarly, the Ise, Afowo, and Abeokuta Formations showed a similar lithologic and electric log. The uppermost beds of Abeokuta Formation which outcrop in the Ijebu-Ode, Itori, Wasimi, and Ishaga, consist mainly of fine-coarse-grained sand which is occasionally interbedded by shale, mudstone, limestone, and silt. In most recent literature the Ise and Afowo Formations are discussed as Abeokuta Formation. The Abeokuta Formation consists mainly of grits, loose sand, sandstone, kaolinitic clay, and shale. It was further characterized as usually having a basal conglomerate or a basal ferruginised sandstone [39]. The Araromi Formation overlies the Afowo Formation and has been described as the youngest Cretaceous sediment in the eastern Dahomey Basin. It is composed of fine to medium-grained sandstone at the base, overlain by shales, siltstone with interbedded limestone, marl, and lignite. This Formation is highly fossiliferous [43]. The Ewekoro Formation overlies the Araromi Formation. It is an extensive limestone body, which is traceable over a distance of about 320 km from Ghana in the west, towards the eastern margin of the Dahomey (Benin) Basin in Nigeria [44,45]. It is Palaeocene in age. Superimposing the Ewekoro Formation is the Akinbo Formation, which is mainly composed of shale and clayey sequence. The clay stones are concretionary and are largely kaolinite. The Formation’s base is defined by the presence of a glauconitic band with lenses of limestones [43]. The Akinbo Formation and consists of greenish-grey or beige clay and shale with interbeds of sandstones. The shale is thickly laminated and glauconitic. The basal beds may consist of either, sandstones, mudstones, claystones, clay-shale, or shale. The Ilaro Formation superimposes the Oshosun Formation and consists of massive, yellowish poorly, consolidated, cross-bedded sandstones. The youngest stratigraphic sequence in this basin is the Benin Formation, otherwise known as the Coastal Plain Sands and contains poorly sorted sands with layers of clay units. The sands are occasionally interbedded and show transitional to continental characteristics. The age is from Oligocene to Recent [43]. Most of the boreholes constructed in the basin are either single-screened or multiple-screened and occasionally open wells are constructed through fractured basement rocks that produce a considerable amount of water. The Depth to water level hardly exceeds 24 meters. Most aquifers in this basin are found around 40 meters below the surface. These aquifers are rarely confined, and very few boreholes tap water below 60 meters [46]. The mean yield from boreholes is ~0.4 l/s. In the crystalline basement section of the basin, a borehole depth of 40–80 m is estimated. Data from available boreholes in the southern end of Kwara State extending to Osun State, indicate the range between 25–68 meters borehole depth. The overburden thickness is also highly variable, ranging between 3–24 meters. In places around Ibadan, the overburden thickness and borehole depth are within the same range. The thickness of the overburden aquifer in the rural areas of Oyo State is correlated to the tectonic fractures rather than weathering (regolith).

Borehole yield ranging from 1–2 l/s in the basement complex section is considered suitable for installing motorized submersible pumps. Borehole yields less than 0.5 l/s are also considered good for handpumps. The recharge into the weathered aquifer is predominantly through the infiltration of rainwater. Therefore, continued yields from motorized pumps may not be workable. Midwestern Nigeria’s coastal basin’s principal aquifers occur in sandy units and overburden/superficial deposits confined by shale and clay formations. The aquifers’ thickness is highly variable with first and third horizons reaching a thickness of about 200 meters and 250 meters at Lekki headland. The second horizon is roughly 100 meters thick (Figure 4). The estimated groundwater stored in the first aquifer horizon is about 2.87 × 103 m3. The water table is mostly shallow, ranging 0.4–21 meters below the ground surface. It is estimated that annual fluctuation is less than 5 meters. The principal aquifer is within bare coastal sands, occasionally underlain by impermeable horizons of shale and clay units. Many high-yielding boreholes provide more than 30% of the water supply in Lagos and its hinterlands [46].

fig 4

Figure 4: Typical hydrogeological section of coastal basins of southwestern Nigeria. After Adelana, Vrbka [46].

The geological succession in these basins simple, forming a simple monocline against the basement outcrop northward, with a slight faulting indication. The inclines are reportedly about 1° or less southwestwards (Table 1). The Basement Complex rocks superimpose more than 50% of the Coastal basins [47-49]. The Abeokuta Formation is the oldest outcropping sedimentary formation in the Ogun and Osse River Basin. This appeared to cover the basement complex directly. The Formation is in turn superimposed by the Ewekoro, Ilaro, and Benin Formations. The is the substantial development of alluvium in the coastal areas and along the course of the major drainage systems of the Rivers Ogun and Osse.

Table 1: Hydrogeology of coastal basins of southwestern Nigeria.

table 1

After Offodile [32]

The Abeokuta Formation

This is the oldest Formation in the Ogun Basin, outwardly covering the Basement Complex. The Formation thickness ranged from 250 to 300 meters, containing arkosic sandstones and grits, tending to be carbonaceous towards the bottom. There is an increase in thickness from about 250 meters in the western sections of the basin towards the Benin border. The basal conglomerates also were encountered. One of the outcrops gave the following units in Figure 5. The Abeokuta Formation has good potential for groundwater except that the bituminous constituents associated with the sands could affect groundwater quality. This Formation is being interrelated to the Nkporo Shale, east of the River Niger. The little report is existing about the groundwater potentials of the Abeokuta Formation. Nevertheless, its proximity to the Basement Complex and its high porosity, a substantial amount of groundwater is expected to be stored above the crystalline rock layer. This condition has been confirmed at the bottom near the Basement layer, intercepted by the borehole described in the following section. This Formation is outstanding in the basin. Hydrogeologically, groundwater in the basin’s northern parts is limited to the splintered and in-situ worn portions of the rocks. The in-situ worn portion either superimposes the unweathered basement or occurs within the unweathered basement [50].

fig 5

Figure 5: Section of Abeokuta Formation. After Offodile [32].

In the former, the worn materials create phreatic aquifers typically exploited through hand-dug shallow wells, while in the later, groundwater is confined in nature and can only be accessed through boreholes. Groundwater flow is strongly influenced by topography and two common types of springs, mainly, overland and slope springs have been observed in the area. Recharge to these aquifers is primarily by infiltrating rainfall and in some places, by the outflow from adjacent surface water. The recharge areas comprise decayed and splintered rocks in which pressure heads quickly spread through local water-bearing fractures and unified voids, thereby leading to an abrupt rise in ejections in response to rain. Spring discharges in the northern parts of the basin are very common in the rainy season but terminate totally during the dry season. The area underlain by sedimentary formations is regarded as having good groundwater potential due to an aquiferous sandy layer [50].

However, the success of boreholes in this basin is highly variable, and it could be credited to inferior drilling methods, or the frequent occurrence of the clayey matrix, which extends to seal the pores and reduce the absorptivity. The successful boreholes were reported from Aiyetoro and Ijebu Ode. Also, specific capacity ranging from 63 to 17550 list/hr/m (1300 gift) have been measured. Successful boreholes were also reported from Iboro, Imushin, and Ishaga as depicted below. In the eastern parts, within the Osse Basin, the Abeokuta Formation appears to thicken in Agenebode and Auchi’s higher regions, where the groundwater table is deep (120-300 meters). The low water table recorded is thought to be due to the aquifer’s high porosity, as typified in by the Kerri-Kerri Formation, in the Upper Benue Basin Nanka Sands of the Anambra Basin [32]. Some drilled boreholes in the Abeokuta Basin are shown in Figure 6. Figure 7 illustrates some successful boreholes in Abeokuta Formation. The GSN. BH. No. 2436 is located at Meko. The lies unconformably showed unconformity. It has a total depth of 57.9 meters. Although it penetrates the Basement Complex, yields are relatively low (1620 lits/hr (0.45 lits/sec)—the GSN. BH. No. 2612 was located at Igbogila. The borehole penetrates a Basement Complex section and has a total depth of 70.5 meters. Yield is relatively high (28350 lits/hr), or 7.87 lits/sec. it has a specific capacity of about 390.8 lits/hr—the GSN. BH. No. 2438 is located at Aiyetoro. The borehole penetrated a Basement Complex formation and showed unconformity. The total depth is about 55.9 meters. Yield is relatively low (2340 lit/hr), or 0.65 lits/sec (Offodile, 2002). Figure 7 further illustrates some boreholes penetrating the Abeokuta Formation. The GSN. BH. No. 2433 reached a depth of 48 meters below the ground level. This borehole’s actual location is unknown, but it is believed to penetrate the Abeokuta Formation. The borehole produced a yield of about 3600 lits/hr and had a specific capacity of 11880 lit/hr/m (Offodile, 2002). The GSN. BH. No. 2435 is located at Ishaga. It penetrated the basement complex (BC) and had a total depth of 75 meters. It had a yield of 31050 lits/hr. It also had a specific capacity of 3192.75 lit/hr/m [32]. The lithology is mainly sandy (Figure 7) – the GSN. BH. No. 2597 is located at Ijebu Ode about 46 km NE of the town. The borehole penetrated the BC and reached a depth of 54.6 meters. The yield obtained from this well is comparatively low (10800 lits/hr), with a specific capacity of 935.5 lits/hr/m. The last borehole in Figure 6 (GSN. BH. No. 1807), also lies unconformably on the BC. The well reached a depth of 72.8 meters and produced a yield of 13500 lits/hr, with a specific capacity of 4039.2 lit/hr/m [32]. Generally, boreholes penetrating the Abeokuta Formation has a higher proportion of sands.

fig 6

Figure 6: Lithological sections of boreholes in Abeokuta Formation. After Offodile [32].

fig 7

Figure 7: The lithology of boreholes in Abeokuta Formation. After Offodile [32].

The Ilaro Formation

The Ilaro Formation is comprised of fine to medium-grained which are reasonably well sorted. The Formation lies conformably on the Oshoshun Formation (Lower-Middle Eocene) and locally unconformably underneath the Benin Formation -Oligocene-Pleistocene [51-53]. The Ilaro Formation is typically Middle to Upper Eocene in age. The estimated thickness of this Formation is about 70 meters and displays rapid lateral facies changes. This can affect aquifer quality [54]. Hydrogeologically, not much information exists on the Ilaro Formation, though it is reported to be transitional to, and in part equivalent to the Ameki Formation. Given the Ilaro Formation’s geological physiognomies, its equivalent lateral part could be a good aquifer that can yield a substantial amount of water. However, GSN. BH. No. 2611 in Ilaro had reached a depth of 57 meters and gave a low yield of 2975 lits/hr and a specific capacity of 1023 lits/hr/m [32]. The lithology of this borehole is illustrated in Figure 8.

fig 8

Figure 8: The lithology of the borehole in Ilaro. After Offodile [32].

The Benin Formation

The Benin Formation (Miocene-Recent) consists of thick bodies of ferruginous and white sands. The Formation lies conformably on Ilaro Formation. Friable, poorly sorted with intercalation of shale, clay, and sandy clay with lignite [55]. The Benin aquifer is an important reservoir of groundwater. It is well developed in the Osse Basin and underlies more than 50% of its sedimentary section. The Benin aquifer is underlain by the sandstones of and shales of the upper Ilaro Formation, consists of a sequence of predominant continental sands and some lenses of shales and clays proved to be up to 107.7 meters thick in the area. The cross-section of the Benin Basin is further illustrated below. The Benin Aquifer gives very high yields of up to 4500 lits/hr (10000 g/hr) in most parts of the outcrop area.

The water table is relatively shallow, ranging between 20 to 25 meters. The water quality is also good. By this Formation, the land area underlain extends from Ado-Odo, Ilaro, Ikeja, and Mushin, passing through Okitipupa of Ogun Basin, into a broad area Benin-Ugheli-Agbo province of Osse Basin, in Edo and Delta States [32]. The lithology of boreholes from the Benin formation is illustrated in Figure 8. The GSN. BH. No. 2608 is located at Ikeja, had a total depth of 99 meters. The yield from this borehole is comparatively high (55350 lits/hr) [32]. Figure 9 illustrates the lithology of Benin formation [56].

fig 9

Figure 9: Hydrogeologic Cross-section of the Benin Basin. After Oteri and Ayeni [56].

Figure 10 shows the specific capacity of this borehole is 9,220 lits/hr/m. This well penetrates the Benin Formation. The GSN. BH. No. 927 is located in Otta. The well had a depth of 243 meters. The remaining lithologies were not accessed. Yield from this borehole was estimated to be 22500 lits/hr in GSN. BH. No. 2599, located at Mushin penetrates a similar sequence, attained a depth of 108.6 meters. This well gave a yield of 32850 lits/hr (9 lits/sec). The specific capacity was 1930.5 lits/hr/m. This prolific yield is typical of the Benin Formation across the southwestern river basins of Nigeria. The Benin Formation is also very important in the Osse Owena Basin, where it is the primary groundwater source [32].

fig 10

Figure 10: The lithology of the borehole in Ikeja and Otta. After Offodile [32].

The Deltaic Formation and Alluvial Deposits

This Formation contains alluvial deposits associated with Lagos’ coastal areas and the Osse Basin areas connecting to the Niger Delta Basin [57-59]. The hydrogeological conditions in areas were explained in studies on the Niger Delta Basin. Be sufficient to mention that the sandstone beds are limited in thickness and usually variable in the lateral extent. Furthermore, these aquifers have been exposed to saline water intrusion due to overdevelopment and seawater invasions. Correspondingly, the limitations in thickness and extent of the aquifers significantly reduce the boreholes’ specific capacity. The groundwater condition varies swiftly across the basins. In the Lagos region areas where the Formation appears to be least developed and has been polluted, the underlying Benin Formation provides a ready supply to the groundwater demand in the basin [32]. These comprise the Yewa, Ogun, and Oshun river networks’ vast basins, presenting a general alluvial development with considerable groundwater potential. The available drilling records have not distinguished this Formation. However, a 49275 lits/hr yield from GSN. BH. No. 2610 at Ibefun. The borehole was just 28.5 meters deep and had a specific capacity of 9234 lits/hr/m. This presents an excellent yield and underlines the high potential of these river basins’ alluvial deposits. The hydrogeology of these basins is similar to that of the Niger Delta Basin, discussed in the previous chapter.

Hydrogeological Condition in Coastal Basins of Southwestern Nigeria

The Ogun River Basin

The Ogun River Basin is one of the significant coastal basins located in southwestern Nigeria [60-62]. The basin is situated between latitudes 6° 26′ N and 9° 10’N and longitudes 2° 28’E and 4° 8 ‘E (Figure 11). About 98% of the basin area falls within Nigeria and the remaining 2% in the Benin Republic. The basin covers an of about 23,000 sqkm. The topography is generally low, with the gradient in the north-south direction. The Basin is drained by the Ogun River which had its source from the Iran hills at an elevation of about 530 meters above sea level. The river flows southwards over a distance of about 480 km before it discharges into the Lagos lagoon. The main tributaries of the Ogun River are the Ofiki and Opeki Rivers. Two seasons are distinguishable in the Ogun River Basin; a dry season from November to March and a wet season between April and October. The mean annual rainfall ranged from 900 mm in the northern parts to 2000 mm in the south. The total annual potential evapotranspiration ranged from 1600 and 1900 mm [63]. Hydrogeologically, very little is known about the Ogun Basin since the basin is often discussed in southwestern Nigeria’s coastal basins. However, Offodile [32], compiled data on borehole on borehole depths summarized in Table 2. There is not much reporting of hydrogeological physiognomies of the individual boreholes from western Nigeria’s coastal basins. Most of the boreholes in this basin penetrate the Pre Cambrian-Basement Complex. Yields from these boreholes are poorly known. However, GSN. BH. No. 2614 in Ewekoro gave an artesian flow of 90-135 lits/hr obtained near the borehole base. Similarly, GSN. BH. No. 1583 at Itori gave artesian flow at 81 meters. The estimated yield was 450 lits/hr and a specific capacity of 92.7 m 45000 lits/hr/m. Although, these two boreholes produced a substantial amount of water, a more detailed study on the hydrogeology Ogun Basin is required for further evaluation.

fig 11

Figure 11: Ogun-Osun River Basins and the Adjacent Basins. After Oke, Martins [63].

Table 2: Borehole information from Ogun Basin.

S/no.

Borehole Locality (Abeokuta Formation)

GSN. BH. No. Total Depth (m) Depth to First Water (m) Final Depth to Water (m) Yield (lits/hr) Draw Down (m) Specific Capacity (lits/hr/m)

Remarks

1

Aiyetoro 2

2438 63 31.2 31.2 2340 15

Pre Cambrian-45.9-63 m

2

Aiyetoro 2

2439 53.7 20.7 20.7 18900 3.6 5250

Pre Cambrian-45.9-63 m

3

Ijebu Ife

1808 57 42 39.9 10655 10.6 1035
4

Ijebu Ode

2620

Abandoned Pre Cambrian-Very shallow

5

Ijebu Ode

2597 69.9 46.2 46.2 10800 11.4 945

Pre Cambrian-54.6-69.6 m

6

Ijebu Ode

2598 54

Abandoned Pre Cambrian-18.3-54 m

7

Imushin

1807 87 55.8 52.8 13500 3.3 4080

Pre Cambrian-72.9-87 m

8

Imushin

2616 75.9 51.9 35100 1.8 19500

Pre Cambrian-65.4-75 m

9

Ishage

2435 75 29.1 19.8 31050 9.6 3225

Pre Cambrian-67.8-75 m

10

Meko

2436 57.9 42.3 42.3 1620 10.5

Pre Cambrian-54.6-57.9 m

(a)                 Borehole Locality (Fugar Area)
11

Agenebodo

2604 127.2 105.9 105.9

Not tested

12

Fugar

1136 69.3

Abandoned

13

Fugar

1179 157.5 129.6 4500

14

Fugar

2603 157.8 129.6 129.6

Not tested

15

Ogbona

2613 213 183.3

Not tested

(b)                 Borehole Locality (Ewekoro Formation)
16

Ewekoro

2614 90 58500

Artesian flow 90-135 lits/hr Obtained near the bottom of the hole

17

Iboro2

2433 48 13.5 10.2 36000 3 1200

18

Labour

2434 33.6 32850 3 10950

19

Ifon2

2602 79.5 64.5 61.8 12600 2.1 6000

20

Igbogila2

2612 70.5 11.4 10.2 28350 11.7 2415

21

Itori

1583 96

Artesian flow at 81 m, 450 lits/hr; at 92.7 m 45000 lits

22

Yemoji

1590 348

(c)                 Borehole Locality (Ibeshe Area)
23

Ibeshe2

2437 121.2 57.5 57.9 10.26 9.3 1095

24

Ilaro

2611 132.9 17.4 20.4 26.55 22.5 1170

(d)                 Borehole Locality (Imo Shale)
25

Sabon Gida

2601 121.2 41.4 13.05 51 255

Artesian flow 900 to 1350 lits/hr

After Offodile [32]

The Osse Owena Basin

Also known as the Benin-Owena, River Basin occurs in Edo-State. The basin is situated within the Western Littoral Hydrological Area HA-6, one of the eight hydrological areas into which Nigeria is subdivided. The gauge station at which the hydrometric measurements were made is located at Osse River at Iguoriahki [64-66]. Hydrogeologically, this basin has not been well explored. Earlier, Offodile [32] summarised borehole information on this basin. Base on the borehole information presented in Table 3, it is clear that this basin has not been fully explored hydrogeologically.

Table 3: Borehole information from Osse Owena Basin.

Borehole Locality (Ameki Formation)

GSN. BH. No.

Total Depth (m) Depth to First Water (m) Final Depth to Water (m) Yield (lits/hr) Draw Down (m) Specific Capacity (lits/hr/m)

Remarks

1 Asaba

72

27.6 23.1 8325

2 Asaba

72

22.5 25.5 9450 3 31

3 Asaba

67.5

16.5 17.4 18000

4 Asaba

45.6

25.2 22.2 95850 3 31950

5 Asaba2

44.7

26.4 24 95850 4.2 22815

6 Isse-Uku

112.5

102.5

Abandoned

7 Isse-Uku

120

Abandoned

8 Iuue

241.5

Abandoned

9 Ogwashi-Uku

89.7

Abandoned

10 Uburu

114

108.5

Abandoned

Borehole Locality (Benin Formation)
11 Abafon

45.6

41.4 16.67

12 Ado Odo

96

I1 45000 2.7 9990

13 Ado Odo

14 Agbon

63

45 40500

15 Agbon

75 7.5 45000 4.5

16 Agbon

75 7.5 45000 32.13

17 Benin City

110.4 56.4 29.25 27.55

Borehole Locality (Ameki Formation)
18 Benin City

61.8 15 67500 2.1

19

Ethiope

34.5 10.5 49500 1.8

20 Sapele

37.5 4.8 31500

21 Sapele

37.5

No Data

22 Sapele

37.5 5.1 27000

23 Sapele

No Data

After Offodile [32]

The Osun River Basin

The Osun basin is drained by the Osun River system which rises from Oke-Mesi ridge, about 5 km North of Effon Alaiye along the Oshun and Ekiti States border and flows North through the Itawure gap to latitude 7° 53′ before winding its way westwards through Oshogbo and Ede and Southwards to enter Lagos lagoon about 8 km east of Epe [63,67]. A considerable part of the basin is underlain by rocks of the Precambrian Basement Complex, most of which are very ancient. This Basement Complex rocks showed significant variations in grain size and mineral composition [63]. The rocks are quartz gneisses and schist consisting essential of quartz with small amounts of white micaceous minerals. Even though the outcrops are visible, large areas are overlain by layers of laterite soil formed by weathering and decomposing the parent rock material. The minerals’ origin has been dealt with based on heavy mineral studies along the river basin. Moreover, the sedimentary rocks of Cretaceous and Tertiary deposits are found in the southern sector of the basin [63]. Generally, in coastal basins of southwestern Nigeria, groundwater is contained in four principal aquifers [56]:

  • The first is the shallow aquifer, which contained the Recent Sediments along the Atlantic Sea coast and river valleys. It is used for minimal private domestic supplies through dug wells and shallow boreholes.
  • The second and third aquifers are in the Coastal Plains Sands Formation. They are exploited through hand-dug shallow wells in some areas, shallow – and profound – boreholes. These aquifers provide considerable amounts of water for water supplies. This is the principal aquifer exploited, particularly in Lagos and its environs.
  • The fourth aquifer is the deep and highly productive Abeokuta formation, which was discussed in previous sections.

A few boreholes located mostly in Ikeja industrial area in Lagos only extract water from the fourth aquifer. The water from this aquifer is hot with temperatures as high as 80°C recorded in a few boreholes. This aquifer is undergoing massive development in adjoining Ogun State when encountered at shallower depths of between 300 and 550 meters. Figure 12 is a north-south geologic cross-section showing various Formations in the sedimentary basin. In Figure 12, a hydrogeologic cross-section from west to east along the coast shows both the lithologic and water-quality variations in the Coastal Plains Sands and Recent Sediments [56].

fig 12

Figure 12: Hydrogeological cross-section of coastal basins along with Lagos State. After Oteri and Ayeni [56].

The delineation of shallow aquifers in the coastal plain sands of Okitipupa Area, Southwestern Nigeria, revealed two central aquifer units within the Okitipupa Area, Southwestern Nigeria [56]:

  • The upper/surficial aquifer system, which occurs at depths ranging from 5.8 m (around Agbabu) to 61.5 m (around Ikoya), and with materials of higher average resistivity (504.7 Ωm), suggestive of gravelly/coarse to medium-grained sand; and
  • The intermediate aquifer system, characterized by depth range of 32.1-127.5 m, average resistivity of 296.8 Ωm, typical of medium-grained sand saturated with water.

The highly resistive, impermeable materials overlying the aquifer units around Ajagba, Aiyesan, Agbetu, Ilutitun, Igbotako, and Erinj suggests that the aquifer units are less vulnerable to near-surface contaminants than in Agbabu, Igbisin, Ugbo, and Aboto where less resistive materials overlie aquifers. However, this indicates that the aquifer cannot be recharged in these areas. The geoelectric sequence suggests subsurface geology characterized by the alternation of sands/gravel, clay/shale, and sandstone occurring at varying depths with variable thicknesses. The sand and gravel layers constitute the aquifer units [56]. The aquifer units’ geoelectric parameters were determined by interpreting the sounding curves, assisted by the distinctive resistivity contrasts between the discrete geoelectric layers.

The upper and lower aquifer horizons work are referred to as the surficial (upper) and intermediate (lower) aquifers. In a different study by Adepelumi, Ako [68], which delineates saltwater intrusion into the freshwater aquifer of Lekki Peninsula, Lagos, Nigeria, the study delineates four distinct resistivity zones viz:

  • The unconsolidated dry sand having resistivity values ranging between 125 and 1,028 Xm represents the first layer;
  • The fresh water-saturated soil having resistivity values which correspond to 32–256 Xm is the second layer;
  • The third layer is interpreted as the mixing (transition) zone of fresh with brackish groundwater. The resistivity of this layer ranges from 4 to 32 Xm; and
  • Layer four is characterized by resistivities values generally below 4 Xm reflecting an aquifer possibly containing brine. The rock matrix, salinity, and water saturation are the major factors controlling the Formation’s resistivity. Furthermore, this study illustrates that saline water intrusion into the aquifers can be accurately mapped using the surface DC resistivity method.

The Crystalline Basement Terrain

The Basement Complex terrains of South-western Nigeria are underlain by Precambrian basement rocks, which comprise crystalline igneous and metamorphic rocks mostly granite/porphyritic granite, granite-gneiss, quartz-schist, migmatite as well as Augen-gneiss, Pegmatite intrusions and variably Migmatized Biotite-hornblende Gneiss [28,69,70]. Descriptions on the field and petrographic/mineralogical characteristics of the different rock types are subject to various works. Textural and compositional attributes are wide-ranging. Directional fabrics such as foliation, lineation, and lamination are often developed in the Gneisses, Schists, Quartzites, and Tectonized rocks [71]. From the hydrogeologic perspective, unweathered basement rock contains negligible groundwater; however, the significant aquiferous unit can develop within the weathered overburden and fractured bedrock. It is this weathered and fractured zone, which forms potential groundwater zones. However, several factors that usually contribute to the weathering and development of fracture systems in the basement rocks can be summarized as follows [71]: (i) Presence and stress components of fractures; as conduit zones, hydro-geomorphological conditions that dictate the influence of weathering agents; (ii) Hydro-climatic/temperature regimes that dictate chemical weathering pace; and (iii) Mineral contents of the rock which affect the degree of weathering/overburden thickness.

The availability of groundwater in Pre Cambrian-Basement of southwestern Nigeria depends not only on the geology but also on the complex interactions of the various hydroclimatic and geomorphologic factors [72,73]. Accordingly, several methods have been established to locate favourable sites for groundwater resources extraction within basement rocks. These include remote sensing geophysical methods and geomorphological studies [71]. Assessment of previous studies on groundwater in the crystalline basement terrain of southwestern Nigeria discovered that the hydrogeological setting of the terrain is characterized by weathered saprolite units with varied thickness over the different bedrock units, Porphyritic Granites, Granite-gneiss, Migmatite, Pegmatite, and Quartz-schist settings. Such a setting suggests the influence of rock types and mineralogy on the extent of fracturing and weathering. Consequently, groundwater occurrences in the study area are in localized, disconnected phreatic regolith aquifers, practically under unconfined to semi-confined conditions. Nonetheless, groundwater in the study area can be categorized under two central units: area with highly weathered and fractured bedrock units and poorly weathered/sparsely fractured bedrock units [71]. In an area with deeply weathered regolith and highly fractured zones, groundwater occurrences usually depend on the thickness of the water-bearing rock; this rock can be gravelly and fractured with possible quartz veins within the deep weathered zone of between 10 m to 30 m. These are characteristic of areas underlain in the study area by weathered crystalline and metamorphic rocks such as schist/quartz-schist, fractured granite-gneiss, and porphyritic granites as well as Augen gneiss with vertical fracture zones. These are generally characterized by moderate to high yield of about 75 m3/day and up to >150 m3/day. The borehole depth usually varies from 20 to 60 m, while the saturated thickness varies from 20 to 35 m below the ground surface [71]. In areas where the weathered zone is thin or absent, groundwater is usually tricky due to widely spaced fractures and the weathered zone’s localized zone/pockets. In the study area, these are characteristic of areas underlain by crystalline and metamorphic rocks, especially migmatite and variably Migmatized gneiss characterized by thin/shallow overburden unit of usually less than 10 meters in thickness and low yield of generally less than 75 m3/day. In such a setting also, the borehole depth varies from 20 to 30 m while saturated thickness varies from 8 to 20 m below the ground surface [71]. Nonetheless, towards the base of the weathered zone at the interface with the fresh bedrock, the permeability is usually high, allowing water to move freely due to the low proportion of clayey materials. However, deep-seated fractures are vital in such situations and can sometimes provide appreciable water supplies, mainly when tectonically controlled. Wells or boreholes that penetrate this horizon can usually provide sufficient water to sustain even hand-dug wells. Due to the complex interactions of the various factors affecting weathering in a typical basement complex setting like the study area, the groundwater potential zone distribution can be erratic and may not be present in some locations [71]. The analysis that involved characterization of weathered overburden revealed estimated overburden thickness using geoelectrical VES surveys from 3.8 to 50 meters with a mean value of about 20 meters as dictated by bedrock types. These values are within the range of values obtained for similar Basement Complex terrains of Africa. Furthermore, it was observed that areas with thin/shallow overburden coincided mostly with areas underlain by variably Migmatized gneiss complex, while the area with thicker overburden unit coincided with area mainly underlain by schist. However, the quartzite/quartz-schist setting coincided with areas of moderate to shallow overburden thickness [71]. In a nutshell, the varied thickness and the weathered overburden units’ isolated pockets also confirm the localized nature of weathered basement aquifers under the crystalline basement setting. The implication of this lies in the fact that there is the need for careful characterization and delineation of areas of possible fracturing and deep weathering as an aquiferous zone in respect of groundwater developments in Basement Complex settings of the study area. Therefore, the present study addresses the aspect of characterization of the groundwater potential using integrated GIS, RS, and MCDA techniques in conjunction with conventional hydrological and hydrogeological data [71]. Although the hydrogeology of southwestern Nigeria’s coastal basins is well described in the literature, a comprehensive description of its hydrochemistry has been lacking. The following section presents a synthesis of physicochemical physiognomies of groundwater in the basin.

Groundwater Chemistry

Physical Chemistry

Figures 13-15 present a summary of groundwater’s physical and chemical parameters in southwestern Nigeria’s coastal basins. Evaluation of pH concentration from 210 locations showed that pH ranged from 3.9 to 10.2 with a mean pH value of 7.4. Generally drinking water having pH < 7 is measured as acidic, and pH > 7 is considered basic. The normal range for pH in surface water systems is 6.5 to 8.5 and for groundwater aquifers 6 to 8.5 [74-76]. Unlike the Niger Delta Basin, groundwater in coastal basins of southwestern Nigeria is slightly alkaline. Alkalinity is a degree of the water’s capacity to resists a change in pH that would tend to make the water more acidic. The measurement of alkalinity and pH is needed to determine the water’s corrosivity [77-80]. The pH of clean water is 7 at 25°C, but when exposed to the atmosphere’s carbon dioxide, this equilibrium results in a pH of approximately 5.2. Because of the association of pH with atmospheric gasses and temperature, it is strongly recommended that the water is tested as soon as possible. The water’s pH is not a measure of the acidic or basic solution’s strength and alone does not provide a full picture of the characteristics or limitations with the water supply. In general, groundwater sources with low pH (< 6.5) could be acidic, soft, and corrosive. Therefore, the water could leach metal ions such as iron, manganese, copper, lead, zinc from the aquifer, plumbing fixtures, and piping. Consequently, groundwater with low pH could contain elevated levels of toxic metals, cause premature damage to metal piping, and have associated aesthetic problems such as a metallic or sour taste, laundry staining, and the characteristic blue-green staining of sinks and drains [81-83].

Groundwater sources having pH > 8.5 could indicate that the water is hard [84-86]. Hard water does not pose a health risk but can cause aesthetic problems. These problems include:

  • Formation of a ‘scale’ or precipitate on piping and fixtures causing water pressures and the interior diameter of piping to decrease;
  • Causes an alkali taste to the water and can make coffee taste bitter;
  • Formation of a scale or deposit on dishes, utensils, and laundry basins;
  • Difficulty in getting soaps and detergents to foam and Formation of insoluble precipitates on clothing, etc.; and Decreases efficiency of electric water heaters.

The temperature ranged from 22.7 to 30.5°C, with a mean value of 27.5°C. The causes for the temperature rise in aquifers are numerous, and these are directly linked to the continuing structural developments and the existing uses at the earth’s surface. These influences can be direct or indirect. The direct influences on the groundwater temperature include all heat inputs to the groundwater through the sewage network, district-heat pipes, power lines, and sources connected with groundwater heat use and storage [87-89]. The indirect influences on groundwater temperature processes are linked with urbanization-related changes in the heat balance in the near-surface atmosphere. The most important factors are:

  • The disturbance of the water balance due to a high degree of surface imperviousness;
  • The change of soil characteristics caused by an aggregation of structures (differences in the near-surface heat input and heat capacity);
  • Changes in the irradiance balance by changes in the atmospheric composition; and
  • Anthropogenic heat generation (domestic heating, industry, and transport).

The differences mentioned above cause changes in the heat balance by comparison with the areas surrounding the city. The city heats itself slowly, stores more heat overall, and passes it on again slowly to the surrounding areas, i.e., it can generally be considered an enormous heat storage unit [90,91]. Over the long term, this process increases the annual mean air and soil temperatures. The long-term warming of the near-surface soil also leads to a heating of the groundwater. Since the temperature affects the physical qualities and the groundwater’s chemical and biological nature, deterioration of groundwater quality and an impairment of the groundwater fauna may result from high temperatures [92-94]. The concentration of EC was synthesized from 177 locations from the basins. Conductivity values ranged from 31.9 to 1643 µS/cm with a mean value of 526.47 µS/cm. Electrical conductivity is widely used for monitoring the mixing of fresh and saline water, for separating stream hydrographs, and for geophysical mapping of contaminated groundwater [95,96]. Distilled water should typically have an EC of less than 0.3 µS/cm. For groundwater, EC values greater than 500 µS cm-1 indicate that the water may be polluted, although values as high as 2000 µS/cm may be acceptable for irrigation water [97,98]. In Europe, the EC of drinking water should be no more than 2500 µS/cm; water with a higher TDS may have water quality problems and be unpleasant to drink [99-101]. Synthesis of hardness from 211 locations revealed that hardness ranged from 11 to 3215 mg/l with a mean value of 467.05 mg/l. Initially, water hardness was understood to be the capacity of water to precipitate soap. Hard water does not allow soap to form as many suds. Water high in hardness is detrimental to plumbing and will reduce the life of water heaters. Water softeners will typically reduce hardness to below 10 mg/l. However, they replace the calcium and magnesium metals with sodium which is undesirable for low salt intake diets [102-104]. Water softener companies often discuss hardness in ‘Grains per Gallon’ instead of the standard units mg/l. To convert hardness from mg/L to grains per gallon, multiply mg/l by 17. Thus, 525 mg/l is equal to 31 gram/gallon. Salinity ranged from 0.08 to 1109 mg/l with a mean value of 178.90 mg/l. There is a substantial reporting on salinity in coastal basins of southwestern Nigeria. All-natural water holds some salt level, and in groundwater, the concentration can naturally vary from fresh to saltier-than-seawater. While small amounts of salt are vital for life, high levels can limit groundwater use and affect ecosystems that depend on groundwater. Small quantities of salt are deposited on the landscape every time it rains. Evaporation and plant transpiration remove water from the landscape but leave the salt behind. It concentrates salt over time. Evaporation can also directly increase groundwater salinity in areas where groundwater is close to the surface. Old groundwater can also become saltier as it passes through aquifers and picks up salts from dissolved minerals.

Although salt in the southwestern Nigeria landscape’s coastal aquifers is natural, groundwater and salt movement’s salinity into groundwater-dependent ecosystems can be increased by human activities. Increases in groundwater salinity can be caused by:

  • Increased groundwater recharge because of irrigation, which mobilizes salts naturally accumulated in the soil (irrigation salinity);
  • Increased groundwater recharge because of land clearing, bringing groundwater near the land surface, causing evaporation from the soil surface and salt accumulation (dryland salinity);
  • Leaking pipes, over-watering of gardens, and runoff from compacted surfaces can raise groundwater levels and concentrate salts in urban areas, which can lead to salt damage on buildings and roads (urban salinity);
  • Over-pumping near the coast, which can cause seawater to seep into replenishing water levels.

Groundwater salinity can also be reduced at times, such as when rapid recharge from flooding flushes out or dilutes salty groundwater. Broadscale changes in groundwater salinity occur very slowly, over decades or longer. Therefore, groundwater salinity is usually monitored rarely except where human impacts are of concern. Measurements on Turbidity, TSS, and Alkalinity were not much in the coastal basins of southwestern Nigeria. Turbidity ranged from 0.86 to 26.34 mg/l, with a mean value of 8.06 mg/l. This estimate was based on two studies (Figure 13f). Therefore, more reporting on turbidity is required in the basin. There is currently little information regarding turbidity in groundwater, and the cause is not fully understood. The common assumption is that groundwater turbidity indicates a fast transport pathway connecting potentially contaminated surface water with the aquifer. Studies found no relationship between turbidity and microbiology, although Chalk sources appear more susceptible to E. coli than other aquifers [105]. The occurrence of turbidity tends to be site-specific with a variety of causes. Mitigation measures in groundwater might include variable speed pumps, automatic pumping to waste, blending, or engineered solutions. Discussion on TSS was based on one study (Figure 13g). Total suspended solids ranged from 153 to 1109 mg/l with a mean value of 472.67 mg/l. Total Suspended Solids (TSS), also known as non-filterable residue, are those solids (minerals and organic material) that remain trapped on a 1.2 µm filter. Suspended solids can enter groundwater through runoff from industrial, urban, or agricultural areas [106]. Elevated TSS can reduce water clarity, degrade habitats, clog fish gills, decrease photosynthetic activity, and cause an increase in water temperature. TSS has no drinking water standard; drinking water with high TSS concentration can increase people’s severity with liver diseases. Similarly, there is not much reporting on alkalinity from these basins. Alkalinity ranged from 0.3 to 1.5 mg/l, with a mean concentration of 0.67 mg/l (Figure 13h). Alkalinity is not a chemical in water, but, instead, it is a property of water-dependent on the presence of certain chemicals in the water, such as bicarbonates, carbonates, and hydroxides. Groundwater aquifers with high alkalinity will experience less of a change in its acidity, such as acidic water, such as acid rain or an acid spill, introduced into the water body [107-109]. In a surface water body, such as a lake, the water’s alkalinity comes mostly from the lake’s rocks and land. Precipitation falls in the lake’s watershed, and most of the water entering the lake comes from runoff over the landscape. If the landscape is in an area containing rocks such as limestone, then the runoff picks up chemicals such as calcium carbonate (CaCO3), which raises the water’s pH and alkalinity. In areas where the geology contains large amounts of granite, lakes will have lower alkalinity. A pond in a suburban area, even in a granite-heavy area, as in some parts on the coastal basins (e.g., Lagos and its environs), could have high alkalinity due to runoff from home lawns where limestone has been applied. However, studies are required for further evaluation. Studies on dissolved oxygen from coastal basins of southwestern Nigeria are quite small in number. Ayolabi, Folorunso [110]’s integrated geophysical and geochemical methods for environmental assessment of the municipal dumpsite system in Lagos revealed DO ranging between 4 to 4.4 mg/l with a mean value of 4.1 mg/l. Similarly, Awomeso, Taiwo [111]’s study on the pollution of a waterbody by textile industry effluents in Lagos, Nigeria showed that COD concentration varies with distance from the discharge point. The concentration of was 890 mg/l at 0 meters, 600 mg/l at 50 meters, 214 mg/l at 100 meters, 1703 at 150 meters, 1172 ta 200 meters, 10 mg/l at 250 meters, 1693 mg/l at 300 meters, 860 mg/l at 350 meters, 1901 mg/l at 400 meters and 10 mg/l at 450 meters respectively. Omale and Longe [112]’s, assessment of the impact of abattoir effluents on River Illo, Ota, Nigeria showed that BOD ranged from 140 to 670 mg/l with a mean value of 333.33 mg/l. Most of the studies reporting BOD came from surface water bodies. Groundwater is yet to be fully explored in southwestern Nigeria’s coastal basins, based on these parameters. Dissolved oxygen significantly affects groundwater quality by regulating the valence state of trace metals and constraining dissolved organic species’ bacterial metabolism [113-115]. Consequently, the measurement of dissolved oxygen concentration should be considered vital in most water quality researches. Measurements of dissolved oxygen have been often ignored in groundwater monitoring. Oxygen has regularly been assumed absent below the water table; O2 measurements are not mandated by drinking water standards. Regular organic debris and organic waste derived from wastewater treatment plants, failing septic systems, and agricultural and urban runoff act as food sources for water-borne bacteria. Bacteria decompose these organic constituents using DO, consequently reducing the DO present for aquatic organisms. Chemical oxygen demand does not discriminate between biologically available and inert organic matter, and it is a measure of the total quantity of oxygen required to oxidize all organic material into carbon dioxide and water [116-119]. The COD values are always greater than BOD values, but COD measurements can be made in a few hours while BOD measurements take five days. Since parameters play a significant role in groundwater quality, it is recommended that such parameters are measured throughout the coastal basin of southwestern Nigeria. Figure 14 presents the groundwater classification based on pH, Hardness, Conductivity, and TDS. Based on pH 50.95% of groundwater sources in coastal basins of southwestern Nigeria fall in neutral class, 35.24% fall in acidic class, and 13.80% fall in alkaline class. Conversely, total hardness is also varying in the basin. About 43.37% of groundwater sources fall in soft class, 24.29% fall in intermediate class, 23.72% fall in hard class, and 9.60% fall in the very hard-water class. About 67.80% of groundwater sources have conductivity below 750 µS/cm, and 32.24% have EC values between 750 to 2250 µS/cm. Low TDS levels further show the low conductivity of groundwater sources in the basin. About 62.55% groundwater sources have TDS below 500 mg/l, 27.96% have TDS concentration between 500 to 1000 mg/l, 9.00% have TDS level between 1000 to 3000 mg/l and 0.47% have TDS above 3000 mg/l. This variability is further illustrated in Figure 14d.

fig 13

Figure 13: Hydrogeological cross-section of coastal basins along with Lagos State.

fig 14

Figure 14: Groundwater classification (a) pH, (b) Total hardness, (c) Conductivity and (d) TDS.

Cation Chemistry

Understanding the chemical physiognomies of groundwater is essential as a result of their contrasting sources. As soon as their concentration is above the suggested reference guidelines, these prerequisites may render groundwater unusable. Chemical essentials including Ca, Mg, Cu, Cd, B, Al, K, PO4, SO4 As, and Cl, for instance, are primarily derived from rocks. Nonetheless, elements like NO3 and SO4 are derived mainly from anthropogenic sources [118,119]. Understanding the derivation and absorption level of these chemical elements in groundwater is needed for effective groundwater management. Generally, there is little reporting on Al, NH4, and southwestern Nigeria’s coastal basins. For instance, Ayolabi, Folorunso [110]’s analysis of the municipal dumpsite system in Lagos showed Al ranged from 0.001 to 1.641 mg/l with a mean value of 0.29 mg/l.

Longe and Enekwechi [120] investigated potential groundwater impacts, and the influence of local hydrogeology on natural attenuation of leachate at a municipal landfill from Olusosun landfill showed that NH4 ranged from 0.14 to 1.5 mg/l with an average value of 0.41 mg/l. A review of the level of arsenic in potable water sources in Nigeria and their potential health impacts by Izah and Srivastav [121]’s analysis showed that arsenic concentration in western Nigeria ranged from 0.00 to 0.38 mg/l at Ibadan, 0.00 to 0.05 mg/l in Odeda region, 0.03 to 0.47 mg/l at Ijebu land and 0.01 to 0.70 mg/l at Igun-ijesha. People are exposed to elevated levels of inorganic arsenic through drinking contaminated water, using contaminated water in food preparation and irrigation of food crops, industrial processes, eating contaminated food and smoking tobacco. Long-term exposure to inorganic arsenic, mainly through drinking water and food, can lead to chronic arsenic poisoning. Skin lesions and skin cancer are the most characteristic effects. The SON has recommended 0.2 mg/l as a maximum permissible limit in drinking water. Aluminium is an excellent metal in the earth’s crust and is regularly found in the form of silicates such as feldspar. The oxide of Al known as bauxite provides a suitable source of uncontaminated ore. Aluminium can be selectively leached from rock and soil to enter groundwater aquifer. Aluminium is known to exist in groundwater in concentrations ranging from 0.1 ppm to 8.0 ppm. Al can be present as Aluminum Hydroxide, a residual from the municipal feeding of aluminium (Aluminum Sulfate), or as Sodium Aluminate from clarification or precipitation softening. It has been known to cause deposits in cooling systems and contributes to the boiler scale. Aluminium may precipitate at normal drinking water pH levels and accumulate as a white gelatinous deposit. Aluminium is controlled in drinking water with a recommended Secondary Maximum Contaminant Level (SMCL). SMCL’s are used when the taste, odour, or appearance of water may be adversely affected. In this case, the WHO [122] established that an Al concentration above 0.1–0.2 mg/l might impact colour but recognize that level may not be appropriate for all water supplies. The Nigerian Standard for Drinking Water Quality (NSDWQ) has recommended 0.2 mg/l as a maximum permissible limit because of potential neuro-degenerative disorders associated with high Al concentrations in water. The natural levels of NH4 in groundwater and surface water are usually below 0.2 mg/litre. Anaerobic groundwaters may contain up to 3 mg/l. Leached effluents from the concentrated rearing of farm animals can give rise to much higher levels in groundwater. Ammonia pollution can also rise from cement mortar pipe linings. Ammonia is an indicator of possible bacterial, sewage, and animal waste effluence. Contact from environmental sources is insignificant in comparison with the endogenous synthesis of NH4. Toxicological effects are observed only at exposures above about 200 mg/kg of body weight. Ammonia in drinking water is not of immediate health significance, and consequently, no health-based guideline value is proposed by SON. There are few studies on Barium concentration in groundwater from coastal basins of southwestern Nigeria. Odukoya and Abimbola [123]’s assessment of contamination of surface and groundwater within and around two dumpsites in Lagos revealed that Ba concentrations ranged from 40 to 100 mg/l with a mean value of 49 mg/l within and around abandoned dumpsite. Barium also ranged from <0.001 to 80 mg/l with a mean value of 56 mg/l within and around active dumpsite. Barium is available as a trace element in both igneous and sedimentary rocks. Even though it is not found free, it occurs in several compounds, most commonly barium sulfate (or barite) and, to a lesser extent, barium carbonate (or witherite). Barium goes into the environment naturally via the weathering of rocks and minerals. Anthropogenic releases are primarily connected with industrial processes. The over-all population is exposed to Ba through the ingestion of drinking water and foods, usually at low levels. Figure 15a presents a synthesis of Ca from groundwater from coastal basins of southwestern Nigeria. Calcium ranged from 1.49 to 1460 mg/l with a mean value of 56.78 mg/l. Calcium in drinking water is beneficial, but it is important to note that calcium is a significant constituent of hardness. Based on SON guidelines, Ca is not limited to drinking water. Based on the results of the WHO meeting of experts held in Rome, Italy, in 2003 to discuss nutrients in drinking water [124], the assembly focused its attention on Ca and Mg, for which, next to F, a sign of health benefits accompanied by their existence in drinking water is robust. The Ca’s insufficient consumption has been accompanied by increased risks of osteoporosis, nephrolithiasis (kidney stones), colorectal cancer, hypertension and stroke, coronary artery disease, insulin resistance, and obesity. Most of these disorders have treatments but no cures. Due to a lack of convincing evidence for Ca’s role as a single influential element about these diseases, estimates of the Ca requirement have been made based on bone health outcomes to improve bone mineral density. Calcium is exclusive among nutrients because the body’s reserve is also functional: increasing bone mass is correlated to a decrease in fracture risk. There relatively high Ca level in these basins could be beneficial to the health of the people living there. Figure 15b presents a synthesis of Mg from groundwater in coastal basins of southwestern Nigeria. Evaluation of Mg from 183 sites across these basins showed that Ca ranged from 0 to 108 mg/l with a mean value of 12.26 mg/l. Based on the NSDWQ [125] reference guidelines, 0.2 mg/l was suggested as the maximum permissible Mg concentration in drinking water. The relatively high Ca and Mg recorded in these basins have resulted in the hard water as 56.63% of groundwater in these basins is either moderately hard, hard, or very hard. Numerous epidemiologic researches carried out during recent years have established an inverse relationship between water hardness and death from cardiovascular disease. Many recommendations leave been offered concerning, the causal agent for the association between death from cardiovascular disease and water hardness. Two standards have been debated: a toxic effect brought by the contamination of lead or cadmium or a shielding effect from Ca or Mg’s water content. What is vital is to limit the concentrations of these elements in drinking water. Figure 15c presents a synthesis of Mn from groundwater across the coastal basins of southwestern Nigeria. Manganese ranged from <0.001 to 108 mg/l with a mean concentration of 10.05 mg/l. The SON has recommended 0.2 mg/l Mn as the maximum permissible limit in drinking water due to the neurological disorder associated with water ingestions having a high Mn level [125]. Manganese has recently come under inspection in drinking water due to its possible toxicity and its impairment to water distribution networks. Manganese is rarely found alone in groundwater. It is often found in iron-bearing waters but is rarer than iron. Chemically it can be measured as a close relative of iron since it occurs in much the same iron forms. When manganese is available in groundwater, it is as annoying as iron, perhaps even more. At low concentrations, it produces incredibly objectionable stains on everything with which it comes in contact. Evaluation of K from 207 sites (Figure 15d), in the coastal basin of southwestern Nigeria, showed that K ranged from <0.001 to 341.7 mg/l with a mean value of 24.77 mg/l. Potassium is an essential electrolyte, which is a mineral required by the body to function correctly. Potassium is especially vital for nerves and muscles, including the heart. While K is central to human health, too much ingestion of K can be just as harmful as, or worse than, not getting enough. Usually, kidneys keep a healthy balance of K by flushing excess potassium out of the body. However, for many reasons, the level of potassium in the blood can be too high. This is called Hyperkalemia, or high potassium. The NSDWQ [125], issued no guidelines on K levels in drinking water. Figure 15e presents a synthesis of Na from groundwater across the coastal basins of southwestern Nigeria. Sodium concentration from 152 sites showed that Na ranged from <90.001 to 483.42 mg/l with a mean value of 38.02 mg/l. There is an increasing call to use K in combination with Na to treat and soften drinking water. However, this would cause the level of K in drinking water to increase. The WHO found that the level of K found in drinking water would present no health concerns for healthy adults; though, for specific populations with comprised renal functions, such as infants or individuals suffering from specific diseases, there is the likelihood of adverse health effects. Sodium is not measured to be toxic. The human body requires Na to maintain blood pressure, control fluid levels, and normal nerve and muscle function. However, there are no health-based criteria for Na in drinking water. Only a small amount of the Na we ingest practically comes from water. As a substitute, the standard for Na is based on taste. The mean Na concentration in these basins is below [125] recommended value (200 mg/l).

Quality assessment of groundwater in the vicinity of dumpsites in Ifo and Lagos, Southwestern Nigeria by Majolagbe, Kasali [126], showed that Cd concentration was below the detection limit at Ifo, whereas, mean Cd concentration was 0.005 in Lagos. In the same vein, groundwater quality assessment in a typical rural settlement (Igbora, Oyo state,) in southwest Nigeria by Adekunle, Adetunji [127], showed Cd concentration varies with distance from dumpsites. The Mean Cd concentration was 0.78 mg/l at 50 meters, 0.30 mg/l at 100 meters, 0.32 mg/l at 150 meters, and 0.30 mg/l at 200 meters away from during the dry season. Cadmium concentration was 0.34 mg/l at 50 meters, 0.32 mg/l at 100 meters, 0.30 mg/l at 150 mg/l and 0.24 mg/l at 200 meters away from dumpsite during wet season. Ayolabi, Folorunso [110]’s assessment of the municipal dumpsite system in Lagos indicated that Cd ranged from <0.001 to 0.025 mg/l. There are many studies on Cd in these basins, but the underline reasons for higher Cd in groundwater need to be understood. Many studies have been carried out to decode relationships between geological environment, potable/drinking water, and diseases as they were considered to have caused suffering due to diseases among people. Chronic anaemia can be caused by protracted exposure to drink water polluted with Cd. The Cd’s accumulation is established in the kidney under such conditions, resulting in cancer and cardiovascular diseases. The NSDWQ [125] has limit Cd concentration in drinking water to be 0.003 mg/l. Cadmium is restrained in drinking water because of its toxic effects on the kidney. Assessment of groundwater fluoride and dental fluorosis in Southwestern Nigeria by Gbadebo [128], revealed that groundwater samples from Abeokuta Metropolis (i.e., basement complex terrain) had F concentrations in the range of 0.65 to 1.20 mg/l. These values were lower than the F contents in the groundwater samples from Ewekoro peri-urban and Lagos metropolis where the values ranged between 1.10 to 1.45 and 0.15 and 2.20 mg/l, respectively. The F concentrations in nearly all locations were generally above the WHO recommended 0.6 mg/l. The study also revealed that the F distribution of groundwater samples from the different geological terrain was more dependent on pH and TDS than on temperature. The result of the analyzed social-demographic characteristics of the residents indicated that the adults (between the age of 20 and >40 years) showed dental decay than the adolescent (<20 years). This indicates an incidence of dental fluorosis by the high fluoride content in the populace’s drinking water. Conversely, evaluation of groundwater contamination in Ibadan, South-West Nigeria by Egbinola and Amanambu [129], revealed that F concentration is above the recommended limits in 13% and 100% the dry and wet season samples. The occurrence of F in groundwater has become one of the most significant toxicological environmental hazards worldwide. Fluoride in groundwater is due to the weathering and leaching of fluoride-bearing minerals from rocks and sediments. When consumed in small quantities (<0.5 mg/l), F is advantageous in promoting dental health by reducing dental caries, but higher concentrations (>1.5 mg/l) may cause fluorosis [130]. It is projected that about 200 million people, from among 25 nations the world over, may suffer from fluorosis and the causes have been attributed to fluoride pollution in groundwater including Nigeria. High F concentration in groundwater is expected from sodium bicarbonate-type water, which is calcium deficient. The alkalinity of water also mobilises fluoride from fluorite (CaF2) [131-133]. Exposure to F in humans is related to:

i. Fluoride concentration in drinking water

ii. Duration of consumption; and

iii. The climate of the area. In hotter climates where water consumption is more significant, exposure doses of fluoride (F) need to be modified based on mean F intake.

Many cost-effective and straightforward measures for water defluoridation methods are already known. Nonetheless, the benefits of such methods have not reached the affected rural population due to limitations. Consequently, there is a need to develop workable plans to provide fluoride-safe drinking water to rural communities [130]. There are few studies reporting lead in groundwater from coastal basins of southwestern Nigeria. An assessment of drinking water quality using the Water Quality Index in Ado-Ekiti and environs, by Olowe, Oluyege [134], showed that Pb ranged from <0.001-7.0 mg/l with a mean value of 1.94 mg/l. The quality assessment of groundwater in the vicinity of dumpsites in Ifo and Lagos, Southwestern Nigeria by Majolagbe, Kasali [126], showed that Pb concentrations at Ifo were below the detection limit. The Pb level at Lagos was 0.003 mg/l, and this value is below NSDWQ [125], reference guidelines. The primary reason for restraining Pb in groundwater is that Pb is associated with cancer, interfering with Vitamin D metabolism, affects mental development in infants, and is toxic to central and peripheral nervous systems.

Studies on Mercury are few in coastal basins of southwestern Nigeria. The geostatistical exploration of the dataset assessing the heavy metal contamination in Ewekoro limestone, Southwestern Nigeria by Oyeyemi, Aizebeokhai [135], showed that Hg ranged from 0.002 to 0.38 mg/kg with an average value of 0.12 mg/kg. The absence of Hg reporting groundwater in these basins at the time of this study revealed a possible research gap in groundwater quality in southwestern Nigeria’s coastal basins. Mercury is a scarce element in the Earth’s crust, having an average crustal abundance by mass of only 0.08 parts per million (ppm). Typical Hg sources comprise volcanoes, geologic deposits of Hg, volatilization from the ocean, and some geothermal springs. Nearly half of all Hg released to the environment is natural in origin. About 5,000 tons of Hg is released to the environment per year due to anthropogenic activities worldwide. The NSDWQ [125] has recommended 0.001 mg/l of Hg as the maximum permissible limit for Hg in drinking water due to its health effects on the kidney and central nervous system [125].

Figure 15f presents a synthesis of Ni from groundwater in coastal basins of southwestern Nigeria. Ni ranged from <0.001 to 9.2 mg/l with a mean concentration value of 1.84 mg/l. The NSDWQ [125], set 0.02 mg/l as the maximum permissible limit of Ni in drinking water, because of possible carcinogenicity. The risk of developing cancer from the ingestion of Ni contaminated water is high in western Nigeria since the average Ni (1.84 mg/l) is very much higher than the NSDWQ [125] reference guidelines. Nickel absorptions in groundwater hang on the soil use, pH, and depth of sampling. The mean concentration in groundwater in the coastal basins of western Nigeria is 1.84 mg/l. This value is very much high. Acid rain raises the mobility of Ni in the soil and thus might increase Ni concentrations in groundwater. In groundwater with a pH below 6.2, Ni concentrations up to 0.098 mg/l have been measured. The acidic composition of groundwater sources (35.24%) perhaps is responsible for high Ni levels in the basins. Table 4 shows silica concentrations in groundwater from Abeokuta. Silica varied markedly between the studied locations. The range was higher at Ikereku 12.5-16.4 mg/l [136]. Silica in groundwater has become an exciting element to hydrogeologists as an index to aquifers’ general lithology. Groundwater travelling slowly in the subsurface will approach chemical equilibrium with minerals present in the aquifers. Under average temperature and pressure, mean silica concentrations in groundwater vary from low values of about 7 mg/l in carbonate aquifers to about 85 mg/l in aquifers containing unaltered rhyolitic ash. Groundwater from unweathered or slightly weathered basaltic aquifers generally ranges from 25 to 75 mg/l and has a mean silica value of ~45 mg/l.

Table 4: Silica concentrations in groundwater from Abeokuta.

S/No Location

No. of Sample

SiO2 (mg/l) S/No. Cont. Location Cont. No. of Sample Cont.

SiO2 (mg/l) Cont.

L1 Itoko

3

7.5-8.5 L25 Saje 6

6.9-8.2

L2 Erube

3

6.2-8.0 L26 Aregba 5

7.5-9.0

L3 Olumo

2

18.5-19.3 L27 Ikija 4

1.3-1.5

L4 Ijaye

2

8.7-10.5 L28 Ikereku 2

2.4-2.6

L5 Ago-Ika

2

4.6-5.4 L29 Efon 3

2.5-3.0

L6 Adatan

2

1.8-2.3 L30 Bode Olude 5

6.0-6.4

L7 Ake

2

2.0-4.3 L31 Housing Estate 5

6.5-6.8

L8 Ijemo

2

2.7-4.0 L32 Iberekodo 2

2.4-2.6

L9 Idomapa

2

3.6-6.3 L33 Lafiaji 2

7.9-8.2

L10 Ikija

2

4.0-6.0 L34 Ita Elega 7

3.9-4.5

L11 Kemta

2

4.0-4.9 L35 Mokola 3

2.0-2.5

L12 Itesi

2

2.3-2.6 L36 Adigbe 2

1.0-1.7

L13 Okejigbo

2

1.9-2.3 L37 Amolaso 2

3.3-3.9

L14 Oke Lantoro

2

0.5-1.8 L38 Ibara HE 5

3.8-4.7

L15 Ilugun

2

3.1-3.9 L39 Ijeja 5

1.2-2.6

L16 Itoku

2

1.4-1.6 L40 Isabo 4

2.1-2.5

L17 Iporo Ake

2

2.4-2.6 L41 Ita-Eko/Ita Iyalode 3

0.5-4.6

L18 Ijeun

2

8.5-9.0 L42 Kuto 5

2.0-3.6

L19 Sapon

2

3.1-4.7 L43 NEPA/NUD 7

1.2-1.6

L20

Lantoro

2 3.5-4.0 L44 Oke-Sokori 3

1.2-1.7

L21 Olorunsogo

2

3.2-3.5 L45 Oke-Ilewo 2

1.3-4.7

L22 Ikereku

2

12.5-16.4 L46 Onikolobo 2

1.4-2.6

L23 Ago Oko

2

5.5-6.5 L47 Quarry Rd 2

1.2-2.5

L24 Asero

6

9.0-13.6

After Offodile [32]

Hypothetically, if the water were in chemical equilibrium and if the thermodynamic properties and amounts of all minerals present were known, then the exact silica concentrations of water in the subsurface might be predicted. However, many reactions involving silicate minerals are sluggish, and equilibrium cannot be assumed, mostly in highly permeable basaltic aquifers. Moreover, the types and distribution of minerals may be quite varied and hard to determine in most aquifers. Notwithstanding these complicating factors, field data indicate that silica values for any given aquifer lithology are moderately uniform.

There are many studies on copper in coastal basins of southwestern Nigeria (Figure 15g). The concentrations of Cu ranged from 0.01 to 19.6 mg/l with a mean value of 2.86 mg/l. Dissolved Cu in groundwater can occasionally impart a light blue or blue-green colour and an unfriendly metallic, acrimonious taste to drinking water. Metallic Cu is soft, yielding, and an excellent thermal and electrical conductor. Groundwater analysis revealed high electrical conductivity, it may indicate high Cu concentrations, mainly if other ions, including Fe, Zn, Mn showed a lower concentration. Copper concentration is limited in drinking water since excessive ingestion (>1.0 mg/l), is associated with the gastrointestinal disorder [125]. Figure 15h presents a synthesis of Fe concentrations in groundwater from coastal basins of southwestern Nigeria. The Fe’s concentration was highly variable and ranged from 0 to 2.95 mg/l with a mean value of 0.31 mg/l. Fe in groundwater is a direct result of its natural availability in underground rock formations and precipitation water that infiltrates through these formations as the recharge water moves through the rocks some of the iron dissolves and accumulates in aquifers which serve as a source for groundwater. Since the earth’s underground rock formations contain about 5% iron, it is common to find iron in many geographical areas worldwide. Iron is naturally found in three significant forms and is rarely found in concentrations greater than 10 mg/l [137]. The degree to which Fe and Mn dissolve in groundwater hinge on the amount of oxygen in the water and, to a lesser extent, upon its degree of acidity, i.e., its pH. For instance, iron can occur in two forms: as Fe(++) and as Fe (+++). When the DO level is greater than 1-2 mg/l, iron occurs as Fe3+, while at lower DO levels, the iron occurs as Fe(++). Even though Fe(++) is very soluble, Fe(+++) will not dissolve substantially. Therefore, if the groundwater is oxygen-deprived, iron (and Mn) will dissolve more readily, especially if the water’s pH is on the acidic side. The DO content is decreased with an increased aquifer depth, mainly if the aquifer contains organic matter (OM). The OM decomposition depletes the oxygen in the water, and the iron dissolves as Fe(++) [138,139]. Under these circumstances, the dissolved iron often goes with dissolved manganese or hydrogen sulfide (rotten egg smell). When this water is pumped to the surface, the dissolved iron reacts with the oxygen in the atmosphere, changes to Fe(+++) (i.e., is oxidized), and forms rust-coloured iron minerals. Dissolved manganese may form blackish particulates in the water and cause similar coloured stains on fixtures. The mean Fe concentration is with the [125] reference guidelines, even though high Fe ingestion in drinking water is not associated with any health hazard. Figure 15i presents a synthesis of Zn concentration in groundwater from the coastal basins of southwestern Nigeria. The concentration of Zn ranged from 0 to 45.9 mg/l with a mean value of 3.65 mg/l. The Nigerian standard has set 3.0 mg/l as a maximum permissible limit of Zn in drinking water. Mean Zn (3.65 mg/l) is above the SON limits. Zinc is an indispensable nutrient needed for good health. Too little Zn in the diet is associated with adverse health effects such as loss of appetite, decreased sense of taste and smell, lowered ability to fight off infections, slow growth, slow wound healing, and skin sores. Eating or drinking too much Zn in a short period can lead to adverse health effects, such as stomach cramps, nausea, and vomiting. Eating large amounts of Zn for more extended periods may cause anaemia, nervous system disorders, damage to the pancreas, and lowered required cholesterol levels. There is no evidence that zinc causes cancer in humans.

fig 15

Figure 15: Cation chemistry (a) Ca, (b) Mg, (c) Mn, (d) K, (e) Na. (f) Ni, (g) Cu, (h) Fe, and (i) Zn.

Anion Chemistry

Evaluation of HCO3 concentrations from 119 locations in coastal basins of southwestern Nigeria revealed that HCO3 ranged from 3.6 to 456.28 mg/l with a mean value of 116.98 mg/l (Figure 16a). There are no reference guidelines set up by NSDWQ [125]. Studies on CO3 were not accessed at the time of this study. The two ions are essential to water quality parameters because when CO3 and HC03 are joint with Ca and Mg, they form carbonate hardness. However, if soil concentrates on drying solution, it advances as CaCO3 or MgCO3. Ca and Mg decrease Na concentration levels and the SAR index rise, initiating an alkalizing effect and elevated pH levels. When groundwater analysis shows elevated pH levels, it may indicate the high content of carbonate and bicarbonate ions. Figure 16b presents a synthesis of Cl concentrations in the coastal basin of southwestern Nigeria. Evaluation of Zn in groundwater from 203 sites across the basin revealed that it ranged from 0.12 to 387 mg/l with a mean concentration value of 47.15 mg/l. The NSDWQ [125], has set 250 mg/l as the maximum permissible allowable drinking water limit. Chloride is one of the most common anions found in tap water. Chloride generally combines with Ca, Mg or Na to form various salts: for example, sodium chloride (NaCl) is formed when Cl and Na combine. Chloride occurs naturally in groundwater but is found in high concentrations where seawater and run-off from road salts can make their way into groundwater aquifers. Although Cl is harmless at low levels, groundwater sources having high in NaCl can harm plants if used for gardening or irrigation and give drinking water an unpleasant taste. Over time, NaCl’s high corrosivity will also damage the water system, appliances, and water heaters, causing toxic metals. Nitrate ranged from <0.001 to 50.6 mg/l with a mean value of 8.81 mg/l. There are very few studies on NO2 in coastal basins of southwestern Nigeria (Figure 16c). Akinbile and Yusoff [140]’s environmental impact of leachate pollution on groundwater supplies in Akure, Nigeria, showed that NO2 ranged from 0.7 to 0.9 mg/l with an average value of 0.8 mg/l. The impact of pit latrines on groundwater quality of Fokoslum, Ibadan, Southwestern Nigeria [141], showed that NO2 concentrations vary with pits’ distance. The mean NO2 concentration was 0.12 mg/l at 10.9 meters, 0.05 mg/l at 11.8 meters, 0.12 mg/l at 13.1 meters, 0.21 mg/l at 16.3 meters, 0.22 mg/l at 13.3 meters, 0.19 mg/l at 17.9 meters, 0.23 mg/l at 9.4 meters and 6.1 mg/l at 6.1 meters, respectively. The NO2 from these sites was below the NSDWQ [125] reference limits.

Figure 16d presents a synthesis of PO4 in groundwater from coastal basins of western Nigeria. The PO4 ranged from 0 to 3.5 mg/l with a mean value of 0.65 mg/l. High PO4 in drinking water is not associated with any severe health risks. The presence of PO4 in groundwater is an indicator of anthropogenic pollution since PO4 is mainly derived from organic wastes. The significance of PO4 is mostly linked to eutrophication of surface water bodies. High PO4 and NO3 in water, help plant and algal growths, leading to a variation of diurnal dissolved oxygen, blooms, and littoral slimes [142]. Figure 16e presents a synthesis of SO4 concentrations in groundwater from coastal basins of southwestern Nigeria. The Concentration of SO4 ranged from <0.001 to 1855 mg/l with a mean value of 52.01 mg/l. The NSDWQ [125], has set 100 mg/l as the maximum allowable limit of SO4 in drinking water, even though there is no health risk associated with high ingestion of SO4 drinking water. However, high concentrations of SO4 in drinking water can cause diarrhoea in humans, especially infants. However, adults usually become adapted to high SO4 concentrations after a few days [143].

fig 16

Figure 16: The anion chemistry (a) HCO3, (b) Cl, (c) NO3, (d) PO4, and (e) SO4.

Conclusion

The literature is unanimous about the importance of understanding the hydrogeology and hydrochemistry of groundwater in coastal basins of southwestern Nigeria. Based on the reviewed works, the following remarks can be made:

i. In southwestern Nigeria’s coastal basins, the Abeokuta group is the oldest formation in the area. This group comprised of the Ise, Afowo, and Araromi Formations. Other formations in the basin include the Akinbo and Ilaro formations. Despite the marked spatial variability of these formations, their lithology remains relatively the same.

ii. Also found in this area is the deltaic formation, which contains alluvial deposits. The Ogun Basin is the central coastal basin in western Nigeria, followed by the Osse-Owena Basin. The later has not been fully explored hydrogeologically. The Osun Basin, drained by the Osun River, covers most Osun and Ekiti States parts. This basin is not associated with good groundwater storage, since basement complex rocks underlie it.

iii. These coastal basins were further grouped into the upper surficial aquifer system; and the intermediate aquifer system. Also found in this area is the crystalline Basement Terrain. From the hydrogeologic point of view, unweathered basement rock contains negligible groundwater; though, a significant aquiferous unit can develop within the weathered overburden and fractured bedrock. The general groundwater condition in the area showed that groundwater is very localized.

iv. Groundwater classification based on physical parameters showed mixed results, though groundwater sources are most suitable for drinking.

These basins’ hydrochemistry showed groundwater is relatively good in terms of its suitability for drinking, industrial and agricultural uses. Owing to the increasing urbanization in the area, reasonable measures are required to protect groundwater from overexploitation and pollution.

Acknowledgement

Federal University Birnin kebbi supported this review. Thanks to all anonymous contributors.

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Mapping Contextual Drivers of HIV Vulnerability: A Qualitative Study of African, Caribbean, Black Youth in Windsor, Canada

Abstract

Background: Based on POWER study: Promoting and owning empowerment and resilience among African, Caribbean, and Black Canadian (ACB) youth, this paper explored the contextual factors that expose ACB youth to HIV infection.

Method: We conducted six focused community-mapping sessions with 43 purposively drawn ACB youth living in Windsor, Canada. Based on socio-environmental approach, we investigated a number of issues including, where to find ACB people, places afraid to go, places to find casual partners, where they spend leisure time, healthy and unhealthy places.

Results: The findings showed that ACB population mainly resides in poor areas, with close proximity to bars, strip shops, recreational/sports places. And, multifaceted factors, such as economic deprivation, marginalization, discrimination, and substance use provided an enabling environment for ACB youth exposure to HIV/AIDS. Conclusion: Future HIV/AIDS prevention must be locality specific and culturally sensitive, by taking into account individual, structural, environmental and socio-cultural factors in future HIV prevention strategies.

Keywords

HIV/AIDS, ACB youth, Community mapping, Contextual factors

Introduction

According to 2018 HIV surveillance report in Canada, Ontario accounted for the highest population of HIV cases (39.2%), with the second highest reported cases among 20-29 at 22.5% Gay, bisexual and men who have sex with men (gbMSM) continue to account for the highest exposure to HIV 58.1%, while heterosexual transmission accounts for 32.3%, of which 15.4% are from HIV endemic countries [1]. Similarly in 2017, Ontario accounted for the highest population of new HIV cases (38.9%), and ACB people infected with HIV through heterosexual contact account for 20% of the estimated total of all HIV-positive people, and youth aged 15 to 29 accounted for 23% of HIV cases, and between 2016 to 2017 a 17% increase in 15 to 19 and 4% decrease among 20 to 29 [2]. More so, the Black population, which makes up 3.9% of the population accounts for 22.5% of persons living with HIV in the province [3]. It also has been estimated that in Ontario, Windsor diagnosis of HIV new cases of 5.7 was fifth, with Toronto having the highest diagnosis rate of 15.7 [4].

Community-based and participatory action research programs on HIV/AIDS risk behaviors have reported that mapping of locations with high concentrations of bars, shops, strip clubs, trucking places, sex workers and other geographical places is crucial in identifying at-risk places, groups, as well as, in designing and implementing effective and sustainable HIV prevention interventions [5]. Community mapping has been used to address development and health issues across multidisciplinary sectors, particularly health issues like infectious diseases [6-8] and HIV/AIDS [9,10]. Other focus of community mapping includes HIV prevention intervention [11,12], and health promotion [13], sex and HIV education [14].

However, mapping as a social research approach has become a growing basis for many interventions in developing countries/contexts, on development interventions to promote HIV prevention [15-17]. Community mapping is a mixed method approach that involves brainstorming and geographical mapping to visually present ACB youth ideas and perceptions of their vulnerability and resilience to HIV/AIDS. Participants actively participated in ensuring that the maps are explicit, representing and providing adequate knowledge that represents the diverse views of participants.

The present paper explores the factors that expose young ACB youth to HIV infection in a border city, Windsor, Ontario Canada. It focuses on individual, interpersonal, societal and environmental factors (e.g. access to resources, oppression, discrimination, poverty, and racism) that are often beyond the control of individuals [18-21].

Theoretical Perspectives

Based on socio-environmental approach, this paper recognizes that individual and collective health are intertwined, such that health disparities are the outcomes of intersecting social determinants including neighborhoods, access to economic and social resources, everyday encounters of discrimination and racism, and social exclusion [22]. Integral to this paper are the concepts of masculinity and vulnerabilities. According to UNAIDS [23], people’s vulnerability to HIV depends on their personal circumstances, societal factors such as disempowering cultural practices and laws, and the extent to which they have access to appropriate services and supports. However, the UNAIDS definition of HIV vulnerability neglects the role of structural determinants, such as various forms of social oppression, deprivation, and poverty [24]. This paper measures vulnerability in terms of individual attributes such as self-esteem, personal competence, optimism, and related attributes. The focus on individual factors makes invisible those situational and socio-environmental factors (e.g. cultural safety, access to resources, social capital, intergenerational trauma) that are often beyond the control of individuals [21].

Methodology

Study Community

Windsor, located in southwestern region of Ontario, and has also been identified as has one the highest rates of immigrants proportional to its population, having the sixth largest concentration of people who have ancestral ties to Africa [25]. According to Statistics Canada (2011) [26], Windsor has the highest proportion (33.3%) of low-income population living in very low-income neighborhoods. Windsor with the fifth highest HIV diagnosis rate (5.7) among new cases is also a border town with Detroit, Michigan, USA, which has 603 positive sero-status persons per 100,000 people [27]. In addition, its low legal age for alcohol and tobacco consumption, attracts young Americans to visit Windsor bars regularly on weekends and has opened more avenues for social and sexual networking [28]. This networking is likely to create unique local issues. Therefore, it becomes crucial to conduct a study that focuses on Windsor because issues such as youth’s and parents’ socioeconomic status, inter-country migration or mobility, social hubs, and diversity may nurture cross-border politics and relations.

This study is based on the community mapping of a larger CIHR (2009-2012) funded project on “Promoting and owning empowerment and resilience among African, Caribbean and Black youth in Windsor (POWER)”. Engagement process began by organizing a public forum for ACB youth and community based organizations and stakeholders. At the public forum, we developed a list of volunteers to serve in the Youth Advisory Committee (YAC). YAC became a bridge that links the project to the study communities, target population (youth) and promoted participatory involvement of youth at all levels of the research process. We provided a brief overview of the project and particularly the community-based approach that focus on partnering with the communities and target group as significant actors in the project implementation.

Data Collection

Two investigators and three staff undertook six focused community mapping group sessions between May and November 2015 with 18-24 years ACB youth living in Windsor. The six group sessions comprised of Youth Advisory Committee (YAC) of university of Windsor students (7), St Claire College (7), Caribbean non-students (7), Black non-students (8) and African non-student (7). Purposive sampling was used to recruit a total of 43 participants. Each group session comprised of homogenous participants in terms of racial/ethnic groups and student status. Two project staff facilitated after being trained over one-week training on community mapping. Each focused group session included seven to eight participants of the same ethno-racial group organizations and student status. Two staff and one investigator facilitated the focused sessions. To begin each session, facilitators introduced the community mapping methodology, including a de-briefing on what the project purpose and goals. Facilitators used a focused semi-structured guide containing prompt questions to lead the discussions, exploring commonalities and differences across the conversation. After each session, the project team debriefed with facilitators, providing additional coaching on issues or ideas that arose during the session. Going around the table, each participant was giving the opportunity to contribute to the discussions. Participants were provided with sticky notes to put down their response if too shy to speak out. Participants had ample uninterrupted time to respond promptly. Participants as a group placed some of their answers on the map of Windsor. Each session lasted between 90 and 120 minutes. The language of communication was English. We took notes and audio taped the discussions. We served snacks and paid participants stipend of $25, which included $5 for transportation.

Data Analysis

The staff transcribed the audio recordings verbatim. Two investigators verified the transcripts for accuracy. Project coordinator created the codebook used for coding the transcripts. We used pattern coding by Miles and Huberman (1991) to summarize each transcript. Codes were compiled to record the experiences and perceptions of barriers that tend to expose ACB youth to HIV/AIDS. Staff and two investigators re-examined the coded transcripts for accuracy. And, N6 qualitative software, online coding and data management was used to organize and code the transcripts. The coding process resulted in the identification of the data supporting the emergent themes and the corresponding quotations buttressing the arguments. We made a table of emergent themes, sub-themes and corresponding quotations, which was further reviewed by staff and one investigator for validation. The team overseeing the community mapping read and re-read the themes against the quotations to identify the pattern of arguments.

Results and Discussion

Background of Participants

Table 1 shows that participants of African heritage make up the majority (51.2 percent), those of Black heritage were 23.3%, while Caribbean were 20.9% and only 4.6% classified themselves as of mixed heritage. Additionally, in terms of gender, males were 55.8% and females were 19%. All the sessions were held in a place of close proximity to the participants. For example for university of Windsor and St. Claire College, the sessions were held in the two campuses, while others tended to be held at downtown Windsor.

Table 1: Participants’ Background Characteristics.

Characteristics

Frequency

Percent

Race/Ethnicity (N= 43)

No.

 

African

22

51.2

Black

10

23.3

Caribbean

9

20.9

Mixed

2

4.6

Gender (N=43)
Female

19

44.2

Male

24

55.8

Places to Find ACB People

The study probed for the places where ACB people commonly lived. The participants reported that ACB people commonly resided in places where there were affordable housing, with close proximity to social institutions and amenities such as schools, recreations centers. Government provided most of affordable housing tailored to income of tenants. Public maintenance of these housings was timely and at no extra cost to the tenant. More importantly, it was a common practice for newcomers to seek and identify residential places populated by ACB people. Participants identified the west, around sandwich, central and downtown areas as the places to find most ACB people, while they are sparsely located in South Wood Lake area, where the wealthy and affluent ACB families reside. More ACB people are congregated in the west end/Sandwich, central and downtown, which are crime and poverty-ridden areas. They also noted that a high population of ACB youth, as students, wage earners and those not gainfully employed resided in these areas, either alone or with parents/guardians. Participants also reported a number of social vices such as availability and accessibility to drugs like marijuana, partying, and sex work, which are common around affordable housing places. These social vices expose ACB youth to risk behavior and HIV infection.

In terms of their opinion on living in these places, there were varied ideas. In the Black Canadian mapping session, participants described these areas as: Dirty, lot of prostitutes, Rough area that used to be more violent back in (10), it’s a bad area, prostitution, people get robbed beat up all the time (13), it’s so retched, ghetto, lots of poverty, No money or jobs are here, A lot of drugs and violence.

The YAC Group Noted That

There are a lot of young people; a lot of influence, peer pressure, drugs, sports, unprotected sex, good or poor academics, some of the neighborhoods are associated with public housing, immigrant settlement, Glengarry has a waterpark, STAG, community centers, where people can go, ———————, black people are excluded from networking (union)

In the University Students’ Session, a Participant Noted

Relatively impoverished; roads and everything is poorly cared; not much of the city funds go there; a little dangerous; its more affordable; but there is always some type of altercation on my lawn or across the street; I just assumed I would find something more affordable in West Windsor; familiar; they might also feel they can find someone they can relate to (Female Caribbean).

While in the Non-student Group Session, a Participant Added

Black people are spread out in little areas; West Windsor; bad; but I think it is inclusive, culturally sensitive a good place; unkempt; drugs, boarded houses; not true; there is Windsor housing for immigrants.

Discrimination and Contact with the Police

Despite the importance of social networking with friends and peers, participants reported that the presence of ACB youth in predominantly white residential neighborhoods at out-skirts of Windsor, high-end stores, and electronic sections/units of departmental stores, grocery stores and around police stations raises suspicion. Other places identified where teen health center and blood clinic (cited by University group), and prisons (African non-students). The common reasons provided for avoiding these areas are to avoid confrontations with the police, and confrontations involving wrong identity. Participant noted that “If a conflict/confrontation occurs- automatically the Black person(s) will be confronted even though the fight was from another race” (African female session). Other youth reported that “violence and crime” are high at downtown Windsor, and ACB youth are often the first suspects.

Participants also reiterated their experiences with the police in a number of places such as residential areas around downtown, west end, university areas; clubs – Boom Boom, house parties; highways and other places such as the mall and stores. Often such encounters with peers and relatives end up as mistaken identity, or it involves highway offense and road checks. A youth noted that with police in Windsor, “they think all Blacks look alike” (African Female, AF). A participant reported that there was a time when a “girl’s house was robbed; a dozen police car were present, the last one had a gun pulled out, stopped us for an hour, asked foolish questions, and said you fit the description”.

A participant also noted an incident downtown, where ACB boys were hanging out at “McDonalds with white girls, cops harassed us, told us to go home or be arrested for loitering, and promised to call the girl’s parents.” Police officers would stop an ACB youth and say, “Are you up to something? Are you from Somalia?” (African Male) A student participant also noted: “walking home from university, 20 minutes-walk from home, 2am I was questioned about seeing someone in the area” (AM).

Where do Youth Spend their Free Time?

In response to the question, “where do youth spend their free time?” participants highlighted a number of places in west of Windsor, such as Sandwich and downtown areas where ACB youth most frequently spend their free time. These places included bars, clubs, strip shops, parks, and sport centers like St. Denis center at the University of Windsor and YMCA, house parties, malls, University library – Leddy and at the theaters. These were common meeting places where they engage in social and sexual networking with each other. Data also showed gender differences as males frequented more places for sports and clubbing, while females tended to patronize places that are less costly, for dancing and were often in company with older siblings and friends. During the walking tours of these areas, the research team and staff were informed that other ACB youth residing in other places in Windsor tended to visit and congregate in these areas to be in company of other peers and friends. We also probed for healthy and unhealthy places in Windsor. The participants reported diverse settings. The healthy places ranged from sport places like gyms at YMCA and St. Denis of the University of Windsor; leisure places like STAG, water front located at downtown Windsor; faith-based institutions-churches and mosques, NGO offices like Windsor Women Working With Immigrant Women, Women Entrepreneur Skills Training, New Canadian Center for Excellence, AIDS Committee of Windsor, Youth Connection Association, Salvation Army, and community centers like STAG, Caribbean center. For these youth, these places provided low cost services and were safe and fun places. However, they noted that unhealthy places included parks; downtown area, street allies, and places where many sex workers line the streets, and house parties. The reasons provided ranges from availability of drugs, sexual networking, and exposure to unhealthy behaviors such as sexual activities, drugs and despicable behaviors such as sexing in public places like parks. A participant in identifying what makes these places unhealthy said: Downtown; drugs and alcohol; white women approach Black men; border city; girls from Cincinnati, Pittsburgh, Detroit; 1 in 4 Americans have an STI; Black women give stink eye because it’s not healthy (sexually networking with men who have exposed themselves to “risky” White women); strip clubs; studio 4; Teasers; human and drug trafficking; leopards owns 2 houses; keep green cards in safe; European girls; you don’t know what they have; police department; racial profiling; west end (street level crime); university of Windsor; break ins and misdemeanours (Caribbean Black Male).

Where to Find Casual Sex Partners

Participants identified downtown area and facilities -bars, strip clubs, house parties, Studio 4, casino, riverside after hour, massage parlors, parking lots, university library and residences, High school, St Clair, workplaces – factories, street corners – next to Bistro, shops – sex shops (Maxine, Dougall), residential Areas – condos downtown, restaurants – McDonalds (Escorts) as places to find casual sex partners. These places have close proximity to places where ACB people reside provided easy access to “alcohol and casual sexual activity” (African Female, AF). A participant in the University community mapping session said:

You will be surprised at what goes on at this campus. A friend finds a message at Leddy “for a good time call this number” (African Male, AM).

Another participant added, “campus for variety and safety” (African Female, AF)

A participant from the university also said:

AM: bars, strip clubs; university (you would be surprised at what goes on at this campus); speaks about friend who finds a message at Leddy; “for a good time call this number; meet at a house;” (African Male, AM)

Silvers on Seminole, Casino (Caribbean Female, CF).

Secret Places for Secret Things

To the probe on the secret places where ACB visit and/or congregate to do secret things, not to be heard or known by their parents/guardians, the participants reported bars/s clubs, located in the Sandwich and downtown areas, and specifically university and college campuses where a variety of activities occurred including “alcohol and casual sexual activity” (AF), and youth solicitation for sexual activity. Other activities included drugs, illicit sex, unsafe sex, and prostitution, which are unhealthy and expose persons to STIs including HIV/AIDS. The common reason given for engaging in these activities at these places is that they are “away from home and parents and no need to keep good name”.

P4 AF: residence; houses near campus; sell drugs; Askin street near the university; friends of friends; word of mouth

P1 BM: university; residence; college life involves it; alcohol and weed; houses right by campus

P6 CF: apartments on Peter Street; people come in and out at odd hours

P5 ACF: parks; accessible for sex and drugs

P7 AM; coronation school pike park; when house party ends, can go there to be loud or drink

CBM: Riverfront (car sex); hotels on Huron church (strippers from Ottawa, nova scotia); downtown Windsor condos by police station (drugs); Wyandotte and Windermere (S and M club); massage parlours downtown; houses in west end (coke spots); south Windsor (behind Devonshire mall area; cocaine); Banwell (ecstasy).

Discussion

Community mapping sessions and walking tours provided the researchers and staff a journey into the lived experiences and observations of ACB youth in Windsor, Ontario. The common thread in these accounts and activities was the social inequality, which was more along racial lines that tended to create social exclusion, perpetuating feelings of discrimination and overt racism, which have been reported to have serious impact on ACB communities particularly youth [18,19,29,30] and their attitude to the police [31]. Although these experiences results in lack of entitlement and privilege, thus threatening the social existential survival of ACB population, particularly youth, the community mapping strategies, gave back to these youth some elements of power not just as research participants but also as researchers in the front drive of data collection, informing and making contributions to all stages in the project.

The findings that neighborhoods’ context and organization promote ACB youth vulnerability to HIV infection has been buttressed by similar findings from existing studies from the United States and Canada depicting the influence of neighborhood environment and social disorder [19,20,32] neighborhood economic disadvantage [33-35] on HIV exposure.

The study also reported that the proliferation of some neighborhoods densely populated by ACB populations with bars, street allies, abandoned houses, availability and accessibility to drugs and alcohol, perpetuate risky behaviors like drug and alcohol use, accessibility and availability of female sex workers. Of significance is the report by participants that there have been rape cases of male and female victims in such neighborhoods due to bad people hiding in abandoned properties, and coercing or luring young persons and children into such places. Similarly, a few studies [36-38] suggest that physical environment influences sexual risk and HIV vulnerability. For instance [36], study notes that characteristics of the urban environment influence a wide variety of health behaviors and disease outcomes. They contend that the physical, social and cultural characteristics of urban environment have tolerant social policies through which behaviors and identities may be enacted with less fear. Also noted that inadequately housed individuals tend to be socially isolated or involved in networks that support risky behaviors such as drug use, unstable intimate relationships, multiple sex partners, casual sex exchange and low rates of marriage [39].

The present study also found that a majority of ACB population resides in affordable housing for low to medium very income people families. According to Statistics Canada (2011) [26], Windsor as a town has the highest proportion of low-income populations living in very low-income neighborhoods. Research evidence also shows that people living in very low-income neighborhoods appear to have higher HIV risk profile than those living in higher income areas [18]. Similarly, studies from North America also bear credence to the findings by its association of poverty from social and economic deprivation with HIV risk behaviors [39,40].

Of great importance are past evidence that local bars in Windsor, which attracts youth across the border due to its lower age for alcohol consumption increases the scope of social and sexual networking among Canadian and American youth [28]. Noting that the HIV prevalence rate is very high across Windsor’s border city of Detroit (35 new cases per 100,000 residents), and coupled with the early initiation of sex in youth and the poor attitude to and low use of condoms [27,41] the networking between the two cities is likely to increase the exposure of youth to HIV infection. In addition, participants reported going to hidden places away from parents and homes to use drugs, party and indulge in sexual activity. These findings have been documented in other empirical studies showing that young boys and girls use drugs like marijuana and alcohol, which may affect their decision-making [42], and invariable lead to risky behaviors including anal sex [43-46], violence [47-51], unprotected sex [52], and having casual and/or opportunistic sex [53-58].

Finally, low parent-child communication on sex also matters. It has been well documented that there is lack of sex talks in families and particularly between parents and children [59-61]. This gap exposes younger ACB youth to risky sexual behaviors such as low condom use and ability to negotiate sex, which has been reported to have serious sexual and reproductive heath consequences like exposure to sexually transmitted infections including HIV/AIDS. However, existing studies on Caribbean population have shown parents willingness to talk about sex and related issues with children [62]. And, it has been reported that parents talk about sex with children leads to abstinence, postponement of sexual initiation, positive attitude to safe sex practices including condom use, and engagement in monogamous relationships [63-68]. Invariably, parent-child communication about sex better prepares children when faced with the decision to have or not to have sex [69]. On the contrary, other studies however reported that some parents feel talking about sex matters with their children and adolescents will introduce them into sexual activities and therefore, they avoid such conversations [64,70]. Although studies remain inconclusive on the outcomes of parent-child talk about sex matters, parental efficacy to improve effective parent-child communication about sex matters remains important [71-85].

Conclusion

For decades, many HIV prevention research focused on determining, planning and implementing interventions to address individual-level risk behaviors that expose individuals to HIV infection. This present study indicates the importance in examining the environment, social and cultural impediments influencing risky behaviors. African, Caribbean and Black youth in Windsor, specifically young men face pressure from parents and families on children to conform to the social and cultural gendered expectations that makes you a woman (practicing abstinence) and a real man, like being the provider, economically stable, having multiple sex partners, and engaging in unprotected sex, which invariably are likely to increase exposure to HIV infection. This gives credence to this study that engaged AB youth as both research participants and as researchers, through membership in the Youth Advisory Committee, and actively engaged in recruiting and participating in community mapping and walking tours. More future research need to adopt a mixed method approach, which includes community and/or concept mapping, and other qualitative methods like focus groups, in-depth interviews, photovoice, and questionnaire to study specific subgroups of ACB population like self-identified heterosexual ACB youth, men and women, on a broader scale, provincially or regionally. So doing, we will then be able to establish the differences and similarities across space, neighborhood, race/ethnic subgroups, religion, class and gender in the general population.

The mapping and construction of factors in the environment, neighborhoods, social and cultural contexts among ACB boys, men, girls and women would gain immensely from further investigations. Such interests may provide broader-based data on perceptions of HIV vulnerability, environment and neighborhood factors, with issues of masculinity, specifically perceptions of black masculinity and sexuality that affect sexual scripts, what having sex means, condom use decision making, opportunistic sex, and perceptions of HIV testing.

Furthermore, the findings from this study can begin to inform HIV prevention strategies among ACB youth on how best to increase HIV prevention services. Such programs will focus efforts on addressing multi-level factors by adopting multidimensional, effective and sustainable interventions, which address individual, social, cultural and environmental risky behaviors, like unsafe sexual practices (having multiple sex partners, lack of effective condom use), while also addressing and implementing policies and interventions to improve the environment, neighborhoods, and socio-cultural factors like perceptions of a real black man that hamper the delivery of HIV services aimed at buttressing the sexual and reproductive health of ACB population, specifically youth.

Acknowledgements

Canadian Institutes of Health Research (CIHR) provided the funding. The ACBY team includes Kenny Gbadebo, Youth Connection Association; Eleanor Maticka-Tyndale, University of Windsor; Valerie Pierre-Pierre, African Caribbean Council of HIV in Ontario; Robb Travers, Wilfrid Laurier University; Jelani Kerr, University of Louisville, Louisville, KY. Thanks to the study participants for their contribution. The content is solely the responsibility of the author.

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Sources of Information and Health Care Experiences Related to COVID-19 among Women Involved in Criminal Legal System in Three U.S. Cities

Abstract

Women in the United States criminal legal (CL) system are at the nexus of several drivers of the COVID-19 pandemic, including incarceration, poverty, chronic illness and racism. There are 1.25 million women incarcerated or on community supervision (probation or parole) in the U.S. We present findings regarding the impact of COVID-19 on women in the CL system (N=344) during the early days of the pandemic. Participants were drawn from community settings in an ongoing study of cervical cancer risk in three U.S. cities: Birmingham, Alabama, Oakland, California and Kansas City, which straddles the states of Kansas and Missouri. Regional differences were found in COVID-19 testing and perceived susceptibility to the virus, but not in COVID-related disruptions to health care. We found differences by race/ethnicity in trusted sources of information about COVID. Black women had higher odds of choosing TV as their most trusted source of information, while White women were more likely to cite government or social service agencies as their most trusted source. Notably, 15% of women said they did not trust any source of information regarding COVID-19. COVID-19 disproportionately impacts populations with high levels of mistrust towards medical and government institutions, a result of the twin legacies of medical mistreatment and structural racism. Our findings underscore the need for innovative strategies to reach these groups with accurate and timely information.

Keywords

Health communication, COVID-19, Criminal justice, Racial disparities, Trust, Women

Introduction

As of 2017, there were 1.25 million women under control of the criminal legal (CL) system in the United States, including over 225,000 women in jails or prisons [1,2] and over a million women under community supervision (probation or parole) [3]. Women involved in the CL system live at the nexus of several drivers of the U.S. COVID-19 pandemic, including incarceration, poverty, chronic illness and racism [4]. They are predominantly low-income and disproportionately women of color [5]. They have markedly higher rates of underlying chronic health conditions, associated with poor COVID-19 outcomes, than women in the general population [6,7]. In addition, hundreds of thousands of women transition between community and carceral settings each year [8], and prisons and jails continue to be revealed as hotbeds of COVID-19 transmission [9]. Thus, COVID-19 is very much a pertinent risk for women who are involved in the CL system in the U.S [10].

In the U.S., the story of COVID-19 is one of distinct and marked racial/ethnic disparities, with Black and Hispanic/Latinx people afflicted by disproportionately high rates of infection [11-13] and death [14,15], In addition, the socioeconomic consequences of COVID-19, such as loss of employment and eviction from housing, disproportionately affect people of color [16,17] People of color are also overrepresented among those employed in jobs with high risk of exposure, such as home health aides, cashiers and meat packing workers [18]. Another central theme of the pandemic in the U.S. is the lack of a coordinated national response, leading to different policies and public health mandates in different regions of the country. The lack of a single authoritative source of guidance contributes to confusion and people relying on widely divergent sources of information about the virus. With this backdrop, we sought to understand how women with CL involvement were affected by COVID-19 early in the pandemic. Specifically, we examined how COVID-19 had affected their health care and what sources of information about the virus they relied on. The purpose was to determine whether there were regional or racial/ethnic differences in these outcomes, to help inform health care and communication efforts.

Materials and Methods

Research participants were enrolled in an ongoing, three-city study of cervical cancer risk among women involved in the CL system, funded by the National Cancer Institute (R01CA226838). Data are collected annually with a cohort of women in community settings in three U.S. cities: Kansas City (Midwest), Birmingham (South) and Oakland (West). In response to anecdotal evidence about challenges and disruptions created by the pandemic in the study population, we conducted a brief supplemental survey (5-10 mins) over eight weeks from mid-April to mid-June 2020. Interviews were conducted by telephone rather than in person due to shelter-in-place orders. Participants received a $20 incentive for responding to the survey. Regular check-ins with participants was a routine part of the research protocol and was approved in accordance with the National Institutes of Health single institutional review board policy for multisite research.

Measures

The primary independent variables were race/ethnicity and study site (city). Participants were asked “How do you identify in terms of your race or ethnicity (select all that apply)?” and read a list of several different racial/ethnic groups. We used responses to create a three-level nominal categorical variable race variable. A majority of participants endorsed one race, predominantly Black or White. Small numbers of women reported more than one race (n=10), Latinx only (n=17), American Indian or Alaska Native (n=1), or Asian or Pacific Islander (n=4). We combined these women into a single category as “Other People of Color (POC).” While useful for analytic purposes, we do not draw conclusions about this group in our findings, as we would be generalizing from numerous racial/ethnic backgrounds. Site was determined by the city in which interviews were conducted. To assess health care utilization, participants were asked “Has a health care provider canceled or postponed any regular appointments due coronavirus?” and “Have any of your health care appointments been conducted by phone or video (Telemedicine) instead of in person, due to the coronavirus?” which were both coded yes vs. no. Perceived susceptibility to COVID-19 was assessed with an item which asked, “On a scale of 1-10, how likely do you think you are to get the coronavirus, with 1 being not at all likely and 10 being certain to get it?” Dependent variables related to sources of information about COVID-19. Participants were asked, “What are your sources of information about COVID-19? (select all that apply)” and read a list of potential sources. Each source was dichotomized yes vs. no. To determine most trusted source of information, participants were asked a follow-up question, “Which single source do you trust the most?” Rather than use a multi-level variable, we dichotomized these responses (most trusted y/n) for a more precise examination of associations.

Data Analysis

Descriptive statistics were conducted for all study variables. Logistic regressions were used to determine the unadjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between outcomes and race. Adjusted ORs and 95% CIs for the associations between outcomes and race were examined controlling for study site, age, and other relevant factors (depending on the model). Analyses were run in STATA Version 16.1 (Stata Corp., College Station, TX, USA).

Results

We successfully reached 73% of the study cohort by telephone during the data collection period, for a sample of 344 women (Table 1). Race/ethnicity varied by site, with more White women in Kansas City and Birmingham. Mean age also varied by site, with a mean of 39 years in Kansas City, 40 in Birmingham and 46 in Oakland. All women had histories of criminal legal involvement, most having experienced both incarceration and community supervision (probation or parole). Women in Oakland were more likely to have health insurance, a result of California expanding Medicaid coverage under the Affordable Care Act in 2014. Despite this, three-quarters of all women had attended at least one health care visit by appointment in the past year. In addition, over half had sought care at a hospital Emergency Department (Table 1).

Table 1: Participant characteristics and health care by racial group.

All Black White Other POC p.
(N=344) (n=205) (n=98) (n=41)
n (%) n (%) n (%) n (%)
Oakland 181 (52.8) 146 (71.2) 16 (16.3) 19 (47.5) 0.001
Birmingham 93 (27.1) 35 (17.1) 53 (54.1) 5 (12.5)
Kansas City 69 (20.1) 24 (11.7) 29 (29.6) 16 (40.0)
Ever incarcerated 332 (96.5) 197 (97.0) 94 (96.9) 41 (100.0) 0.530
Ever probation or parole 315 (91.6) 183 (90.2) 92 (93.9) 40 (97.6) 0.205
Has health insurance 251 (73.0) 177 (86.8) 42 (43.3) 32 (78.1) 0.001
Health care by appointment past year 263 (76.5) 173 (84.4) 59 (60.2) 31 (75.6) 0.001
Medical appointment cancelled or postponed due to COVID-19 146 (42.4) 104 (50.7) 30 (30.6) 12 (29.3) 0.001
Medical care by tele-medicine due to COVID-19 152 (44.2) 108 (52.7) 30 (30.6) 14 (34.2) 0.001
Tested for COVID-19 66 (19.2) 44 (21) 12 (12) 4 (10) 0.054

Health Care Since COVID-19

Nearly half of women reported having medical appointments postponed or cancelled due to the COVID outbreak. However, many women also reported receiving health care by telemedicine (Table 2). The odd of having an appointment cancelled or postponed was significantly higher among Black women, after controlling for location, age and health insurance (Table 3). However, Black women also had higher odds of having a telemedicine appointment as a consequence of the outbreak. We found no differences by geographical region in COVID-related impacts on scheduled health care, once we controlled for race, age and health insurance (data not shown). Sixty (17%) of the women had been tested for COVID over the data collection period (April-June 2020), a timeframe in which testing resources were scarce. Two women reported a positive result. Testing was more common in Oakland, where 23% of women were tested, compared to 13% in Kansas City and 11% in Birmingham (p=0.027). Perceived susceptibility to COVID-19 was low overall: on a scale of 1 (not at all likely) to 10 (extremely likely), the mean score was 3.7 [SD 2.8]. Women in Oakland rated their susceptibility slighter higher (4.1) than women in Kansas City (3.2) or Birmingham (3.6) (p=0.041). There were no significant racial/ethnic differences in perceived susceptibility (data not shown).

Table 2: Most trusted source of information about COVID-19 by racial/ethnic group.

All Black White Other POC p.
(N=344) (n=205) (n=98) (n=41)
n (%) n (%) n (%) n (%)
Television news 147 (42.7) 104 (50.7) 31 (31.6) 12 (29.3) 0.001
Social media or websites 35 (10.2) 17 (8.3) 10 (10.2) 8 (19.5) 0.095
Friends/family 18 (5.2) 8 (3.9) 7 (7.1) 3 (7.3) 0.404
Government/social service agency 30 (8.7) 8 (3.9) 17 (17.4) 5 (12.2) 0.001
Medical provider 44 (12.8) 21 (10.2) 16 (16.3) 7 (17.1) 0.227
Other 17 (4.9) 10 (4.9) 5 (5.1) 2 (4.9) 0.996
Don’t trust any source 52 (15.1) 36 (17.6) 12 (2.2) 4 (9.8) 0.286

Table 3: Logistic regression of COVID-19 related health care experiences by race/ethnicity.

Model 1 Model 2 Model 3
Care cancelled/postponed Telemedicine visit Tested for COVID-19
AOR* (95% CI) p. AOR* (95% CI) p. AOR** (95% CI) p.
Race/ethnicity
African American Referent Ref Ref
White 0.53 (0.29-0.98) 0.045 0.50 (0.27-0.92) 0.027 0.85 (0.37-1.94) 0.698
Other POC 0.43 (0.20, 0.93) 0.033 0.56 (0.27-1.19) 0.131 0.54 (0.18-1.66) 0.181

*Adjusted for study site, insurance status and had 1> medical appointment past year.

**Adjusted for study site, age and insurance status.

Sources of Information about COVID-19

Most women reported multiple sources of information about COVID-19, with a mean of 2.4 [SD 1.1]. Television news was the most frequently cited source of information regarding COVID-19 (83%), followed by social media/websites (61%) and friends/family (43%). Other sources of information included government or social service agencies (21%), medical providers (19%) and radio (6%). When asked to identify their single most trusted source of information, over half of women chose television news (Table 2). While many women endorsed friends and family as a source of information, very few (5%) cited them as their most trusted source. Similarly, a relatively small proportion of women (13%) said medical providers were their most trusted source of information about COVID-19. Black women had higher odds of choosing TV as the most trusted source than the other groups of women, after controlling for age and study site (Table 4). White women had higher odds of citing government or social service agencies as their most trusted source of information (Table 4). It is noteworthy that fifteen percent of women said they did not trust any source of information about COVID-19. This was higher among Black women but did not reach statistical significance in regression controlling for age and site. We found no significant regional differences in information sources or most trusted sources once controlling for race and age in regression analysis (data not shown).

Table 4: Logistic regression models of most trusted source of COVID-19 information by race/ethnicity.

Model 1 Model 2 Model 3
Television News Web/social media Gov’t/social service
AOR* (95% CI) p. AOR* (95% CI) p. AOR* (95% CI) p.
Race/ethnicity
African American Referent Ref Ref
White 0.33 (0.18,0.59) 0.001 1.61 (0.62,4.21) 0.328 7.48 (2.61, 21.38) 0.001
Other POC 0.39 (0.18,0.85) 0.018 2.91 (1.10,7.69) 0.031 2.90 (0.79,10.64) 0.108

*Adjusted for study site and age.

Discussion

Our examination of health care-related effects of COVID-19 among women with CL involvement found mixed results. While over 40% of women reported having health care appointments cancelled or postponed due to COVID-19, a roughly equal proportion received care by telemedicine, and there were no differences by region. This is consistent with a rapid uptick in telehealth visits for publicly insured people in urban areas throughout the U.S. in April-June 2020 [19]. The higher prevalence of COVID-19 testing in Oakland is likely a reflection of the more aggressive stance California took towards controlling infection, compared to the Midwest (Kansas/Missouri) and Southern (Alabama) states. Given this higher level of activity to address the pandemic, it is not surprising that the mean level of perceived susceptibility to COVID-19 was also higher among women Oakland, CA. Our findings regarding trusted sources of COVID-19 information did not vary by region; however, they revealed some interesting variations by race/ethnicity. Black women were significantly less likely than White women to choose government institutions or social services agencies as their most trusted source of information about the virus. In addition, very few Black women identified health care providers as their most trusted source. The long history of racism in government and criminal justice policies in the United States likely contributes to this mistrust [20,21], as does the legacy of unequal treatment and abuse in U.S. medicine [20,22] Restorative work with communities of color is needed to address medical mistrust [23,24], particularly if a future vaccine is to be widely accepted among vulnerable groups [25]. Finally, it is striking that a notable proportion of women (15%) said they didn’t trust ANY source of information regarding COVID-19. This suggests an urgent need to investigate and implement innovative, non-traditional avenues for delivering public health information.

There are several substantial limitations to this study. While data were collected from women in different regions of the United States, the sample is not nationally representative of women involved in the CL system. Due to the exigencies of conducting data collection rapidly in the context of shelter-in-place orders, we were only able to reach three-quarters of women in the parent study. It is possible those we were unable to reach were having different experiences; for example, it is possible that some were hospitalized with the virus. The potential of socially desirable response choices is always present with self-report data, although our questions didn’t focus on typically stigmatized behaviors.

The COVID-19 pandemic has brought into sharp relief the underlying social drivers of poor health in the U.S., including racism, poverty and incarceration. In addition to affecting their health, these conditions affect the level of trust individuals put in social, medical and public health institutions. A U.S. national poll conducted in August 2020 found that, if a COVID-19 vaccine were made available, 45% of Black and 44% of Hispanic/Latinx people would not choose to be vaccinated, compared to 30% of Whites [26]. The need for accurate, trusted health communication to address this public health crisis is clear. It is incumbent on public health professionals to identify new, innovative avenues for public health messaging to vulnerable groups, and to improve the perceived trustworthiness of more traditional sources of information.

Acknowledgements

This research was supported by the U.S. National Cancer Institute (grant #R01CA226838) and the U.S. National Institute of Minority Health and Health Disparities (grant #R01MD010439). The authors thank the women who shared their experiences for the study, despite the disruption and uncertainty created by the COVID-19 pandemic.

References

    1. Bronson J, Carson E (2019) Prisoners in 2017, Bureau of Justice Statistics, (eds.). Office of Justice Programs: Washington DC.
    2. Zeng Z (2019) Jail Inmates in 2017 Bureau of Justice Statistics (eds.) Office of Justice Programs: Washington, DC.
    3. Kaebele D, Alper M (2020) Probation and Parole in the United States, 2017-2018, Bureau of Justice Statistics (eds.) Office of Justice Programs: Washington DC.
    4. Krieger N (2020) ENOUGH: COVID-19, Structural Racism, Police Brutality, Plutocracy, Climate Change—and Time for Health Justice, Democratic Governance, and an Equitable, Sustainable Future. American Journal of Public Health e1-e4. [crossref]
    5. The Sentencing Project (2020) Fact Sheet: Incarcerated Women and Gils. Available from: https://www.sentencingproject.org/publications/incarcerated-women-and-girls/.
    6. Binswanger IA, Krueger PM, Steiner JF (2009) Prevalence of chronic medical conditions among jail and prison inmates in the USA compared with the general population. J Epidemiol Community Health 63: 912-919.
    7. Hawks L, Emily A Wang, Benjamin Howell, Steffie Woolhandler, David U Himmelstein, et al. (2020) Health Status and Health Care Utilization of US Adults Under Probation: 2015-2018. Am J Public Health 110: 1411-1417. [crossref]
    8. Office of the Assistant Secretary for Planning and Evaluation (2020) Incarceration and Reentry. Available from: https://aspe.hhs.gov/incarceration-reentry.
    9. Akiyama MJ, Spaulding AC, Rich JD (2020) Flattening the Curve for Incarcerated Populations – Covid-19 in Jails and Prisons. N Engl J Med 382: 2075-2077. [crossref]
    10. Ramaswamy M, Jordana Hemberg, Alexandra Faust, Joi Wickliffe, Megan Comfort, et al. (2020) Criminal Justice-Involved Women Navigate COVID-19: Notes From the Field. Health Educ Behav 47: 544-548. [crossref]
    11. Rozenfeld Y, et al. (2020) A model of disparities: risk factors associated with COVID-19 infection. Int J Equity Health 19: 126.
    12. Millett GA, Austin T Jones, David Benkeser, Stefan Baral, Laina Mercer, et al. (2020) Assessing differential impacts of COVID-19 on black communities. Ann Epidemiol 47: 37-44. [crossref]
    13. Poteat T, Gregorio A Millett, LaRon E Nelson, Chris Beyrer (2020) Understanding COVID-19 risks and vulnerabilities among black communities in America: the lethal force of syndemics. Ann Epidemiol 47: 1-3. [crossref]
    14. Wadhera RK, Priya Wadhera, Prakriti Gaba, Jose F Figueroa, Karen E Joynt Maddox, et al. (2020) Variation in COVID-19 Hospitalizations and Deaths Across New York City Boroughs. JAMA 323: 2192-2195. [crossref]
    15. Rodriguez-Diaz CE, Vincent Guilamo-Ramos, Leandro Mena, Eric Hall, Brian Honermann, et al. (2020) Risk for COVID-19 infection and death among Latinos in the United States: Examining heterogeneity in transmission dynamics. Ann Epidemiol. [crossref]
    16. United States Bureau of Labor Statistics, Supplemental data measuring the effects of the coronavirus (COVID-19) pandemic on the labor market. 2020, United States Department of Labor: Washington DC.
    17. Institute TA (2020) The COVID-19 Eviction Crisis: an Estimated 30-40 Million People in America Are at Risk. Available from: https://www.aspeninstitute.org/blog-posts/the-covid-19-eviction-crisis-an-estimated-30-40-million-people-in-america-are-at-risk/
    18. Centers for Disease Control and Prevention (2020) Coronavirus disease: Health equity considerations and racial and ethnic minority groups. Available from: https://www.cdc.gov/coronavirus/2019-ncov/community/health
    19. ASPE (2020) Medicare beneficiary use of telehealth visits: Early data from the start of the COVID-19 pandemic, A.S.f.P.a. Evaluation, Editor. United States Department of Health and Human Services: Washington DC.
    20. Spigner C (2007) Medical Apartheid: The dark history of medical experimentation on Black Americans from colonial times to the present. Journal of the National Medical Association 99: 1074. [crossref]
    21. Binswanger IA, Nicole Redmond, John F Steiner, Leroi S Hicks (2012) Health disparities and the criminal justice system: an agenda for further research and action. J Urban Health 89: 98-107. [crossref]
    22. Arnett MJ, Thorpe RJ, Gaskin DJ, Bowie JV, LaVeist TA (2016) Race, Medical Mistrust, and Segregation in Primary Care as Usual Source of Care: Findings from the Exploring Health Disparities in Integrated Communities Study. Journal of Urban Health: Bulletin of the New York Academy of Medicine 93: 456-467. [crossref]
    23. Parsons S (2020) Addressing Racial Biases in Medicine: A Review of the Literature, Critique, and Recommendations. Int J Health Serv Pg no: 20731420940961. [crossref]
    24. Sullivan LS (2020) Trust, Risk, and Race in American Medicine. Hastings Cent Rep 50: 18-26. [crossref]
    25. Jamison AM, Quinn SC, Freimuth VS (2019) “You don’t trust a government vaccine”: Narratives of institutional trust and influenza vaccination among African American and white adults. Soc Sci Med 221: 87-94. [crossref]
    26. Marist Institute for Public Opinion (2020) NPR/PBS NewsHour/Marist Poll Results: Election 2020, Trump, & the Issues. Available from: http://maristpoll.marist.edu/npr-pbs-newshour-marist-poll-results-election-2020-trump-the-issues/#sthash.fm1RIlI9.dpbs.

Discharge Dilemma: COVID 19 Positive Patients from Hospital

Abstract

COVID 19 pandemic started as cluster of unexplained Pneumonia in Wuhan, China. More than 5 million cases have been reported so far. The disease process is variable, poorly understood and is evolving. It is highly infectious and main mode of transmission is person to person. Therefore, stringent public health measures have been in place such as social distancing, personal and hand hygiene, lockdown strategies etc to minimise the transmission. In hospital medicine, safe discharge and arranging a follow up of COVID positive patient poses a challenge and currently there are no clear guidelines available due to uncertainty of infectivity in patients (both immune competent and immune compromised). Safe discharging is very essential to restrict further cluster and outbreak of COVID19 in community.

Why is Safe Discharging Important? Infectivity and Transmission

WHO mission to China report mentioned that SARS-CoV-2 virus can be detected 1-2 days prior to onset of symptoms in nasal-oropharyngeal samples, can persist for 7-12 days in moderate cases and up to 2 weeks in severe cases [1]. Viral RNA is also detectable in faeces 4-5 weeks after symptom onset in approximately 30% of cases; however its clinical significance is not known [1]. In Singapore, prolonged viral shedding from upper airway aspirates was reported and in some cases up to at least 24 days after the onset of symptoms [2].Transmission of SARS-CoV-2 from asymptomatic individuals (or individuals within the incubation period) has also been well documented [3].

Zouet all reported that viral load is similar in both symptomatic and asymptomatic groups. Patients with no or modest symptoms had detectable viral RNA for at least 5 days indicating risk of transmission from asymptomatic patients [4].

The biologic basis for this is supported by a study of a SARS-CoV-2 outbreak in a long-term care facility, in which infectious virus was cultured from reverse transcription polymerase chain reaction (RT-PCR)-positive upper respiratory tract specimens in pre-symptomatic and asymptomatic patients as early as six days prior to the development of typical symptoms [5]. There is no data or study to determine the longest documented transmission from an asymptomatic person. Viral RNA can persist over long periods of time in bodily fluids. This does not necessarily mean that the person is still infectious. Isolation of viruses in virus culture is needed to show infectivity. Based on the data obtained it is uncertain to determine when exactly the patient will be non-infective and if precautions are not placed can lead to further outbreaks in community, which can lead to further burden on health care facilities.

Clinical Problem

Suspected and positive COVID-19 patients attending hospitals are Isolated as per clear pathways and all necessary precautions are taken with appropriate PPE. Some patients have mild respiratory compromise with normal radiographs, some have bilateral infiltrates and some are intubated and ventilated in ICU/HDU. Some patients were admitted for other medical conditions in hospital and were screened for concerns (exposure to COVID patients or clinical concerns) and were positive.

The varied presentation, spectrum and uncertainty about the illness pose a clinical challenge to arrange a safe discharge and follow up. Some of the challenges faced by our COVID teamat time of discharge of COVID patient when medically fit, stable or do not need any intervention in hospital are:

• When do you discharge COVID positive patients?

• Where do you discharge the patients? e.gin clinical situations where an elderly patient living on their own or with little support who lost mobility due to recent bilateral pneumonia/significant illness or patient who are clinically very well but have a family member at home who is immunocompromised?

• When do the patients become clear of infection?

• Is the onset of symptom history from patient reliable or the reference point should be when they were positive?

• Do COVID positive patients need any follow up?

• When do you re-image them if they had infiltrates?

• Do they need any formal respiratory follow up and is there a need of lung function testing?

• If the patients develop any new symptoms after discharge and are presumed to be non-infective as per current guidelines and re-present to the hospital, should they be isolated and retested because that can potentially expose other admitted patients?

• If the repeat swab or re-presentation to hospital is negative, is one negative swab enough to admit them in a general ward?

• What about immunocompromised, and patients with persistently positive swabs? Is their infectivity similar to the immunocompetent patients?

Current Clinical Guidelines for De-isolation of COVID-19 Cases

COVID-19 patients discharge planning is done by taking into account the existing capacity of healthcare, laboratory and diagnostic resources and the epidemiological situation at the time of discharge in that particular area. Some of the current clinical guidelines for de-isolation are:

1) Ministero della salute, Consiglio Superiore di Sanità, Italy (28 February 2020) -A COVID-19 patient can be considered cured after the resolution of symptoms and 2 negative tests for SARS-CoV-2 at 24-hour intervals. For patients who clinically recover earlier than 7 days after onset, an interval of 7 days between the first and the final test is advised.

2) CDC USA (Interim guidance) – Negative rT-PCR results from at least 2 consecutive sets of nasopharyngeal and throat swabs collected ≥ 24 hours apart from a patient with COVID-19 (a total of four negative specimens) and resolution of fever, without use of antipyretic medication, improvement in illness signs and symptoms.

3) CHINA CDC– Patients meeting the following criteria can be discharged: Afebrile for >3 days, Improved respiratory symptoms, pulmonary imaging shows obvious absorption of inflammation, and nucleic acid tests negative for respiratory tract pathogen twice consecutively (sampling interval ≥ 24 hours).

After discharge, patients are recommended to continue 14 days of isolation management and health monitoring, wear a mask, live in a single room with good ventilation, reduce close contact with family members, eat separately, keep hands clean and avoid outdoor activities. It is recommended that discharged patients should have follow-up visits after 2 and 4 weeks.

4) European Centre of Disease Prevention and Control Guidelines:

• Clinical criteria (e.g. no fever for > 3 days, improved respiratory symptoms, pulmonary imaging showing obvious absorption of inflammation, no hospital care needed for other pathology, clinician assessment)

• Laboratory evidence of SARS-CoV-2 clearance in respiratory samples; 2 to 4 negative RT-PCR tests for respiratory tract samples (nasopharynx and throat swabs with sampling interval ≥ 24 hours). Testing at a minimum of 7 days after the first positive RT-PCR test is recommended for patients that clinically improve earlier.

• Serology: appearance of specific IgG when an appropriate serological test is available.

Recommendations

Our suggestion is to classify patients who are deemed suitable for discharge from hospital, into mild, moderate and severe category based on certain clinical and radiological features. Our suggestion is to discharge patients to home or convalescent facility depending on patient’s physical, functional and home situation.

Mild Cases

Patients with no radiographic abnormalities and patient who did not require supplemental oxygen or had exercise induced desaturation to be classified as mild cases prior to discharge.

Moderate Cases

Patients with infiltrates or abnormalities on imaging requiring supplemental oxygen, who do not have significant co-morbid condition and good functional baseline, who did not require assisted ventilation can be classed as Moderate Cases prior to discharge.

Severe Cases

Patients, who had severe illness requiring NIV/High Flow Nasal Cannula/Mechanical Ventilation or had significant co-morbid conditions, or have had decline in functional capacity due to severe illness, would be classified as Severe Cases of COVID infection.

A discharge for mild cases may be considered to home if patient can isolate himself at home (e.g. single room with good ventilation, face-mask wear, reduced close contact with family members, separate meals, good hand sanitation, no outdoor activities) with follow up phone calls by specially designated health care provider due to the risk of worsening of the clinical symptoms, keeping in view the delayed onset of cytokine storm.

Moderate cases may be discharged home if they can self isolate and they are provided with Pulse oximeters and thermometers for home monitoring for further 7 days. They should be linked in with specially designated clinical nurse specialist for twice daily monitoring of symptoms and recording parameters. If patients are technology savvy and able to update symptoms and parameters on App either on Smartphone or computer, an App can be designed for maintain data of such patients and monitored centrally.

In severe cases that have experienced functional decline in terms of mobility, cognition and activities of daily living should be discharged to step-down facility with rehabilitation and multidisciplinary facility (physiotherapy, occupational therapy, pulmonary rehabilitation and geriatrician input). If the patient is not able to self-isolate due to reasons such as living in accommodation with multiple people, hostel or with immunocompromised and elderly population discharge to step down/convalescent facility speciallydesignated for similar cases should be considered to minimise cluster of infections.

COVID positive patients who had infiltrates/pneumonia or opacification on chest radiograph should have a follow up imaging to look for resolution. The timing of repeat imaging is uncertain due to the phenomenon of viral shedding and unclear infectivity of the disease. Our suggestion would be to repeat radiography 8 weeks after the onset of symptoms as viral shedding has not been observed after 6 weeks.

Current evidence suggesting viral shedding in bodily fluids for 6 weeks makes de-isolation decision difficult. At present, de-isolation guidance are unclear with a lot of institutional variability. The timeframe for de-isolation can only be provided after robust clinical trials exploring the infectivity of viral shedding in the bodily fluids to avoid clustering and re-infection. Antibody testing seems to be of benefit in cases that are immunocompromised or were COVID positive for prolonged duration. Patients who were immunocompromised or remained COVID positive on re-swabbing should be isolated on the side of precaution if they re-present to the hospital with a different medical problem.

A COVID team consisting of member of representative of medical team, infection control, microbiologist, occupational therapist and public health should have a daily meeting to determine appropriate discharge to reduce burden on health care an prevent community outbreaks.

References

  1. World Health Organization (2020) Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19). Geneva: WHO.
  2. Young BE, Ong SWX, Kalimuddin S, Low JG, Tan SY, et al. (2020) Epidemiologic features and clinical course of patients infected with SARS-CoV-2 in Singapore. JAMA.
  3. Rothe C, Schunk M, Sothmann P, Bretzel G, Froeschl G, et al.(2020) Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany.N Engl J Med 382: 970.
  4. Zou L, Ruan F, Huang M, Liang L, Huang H, et al. (2020) SARS-CoV-2 Viral load in upper respiratory specimens of infected patients. New England Journal of Medicine 382: 1177-1179. [crossref]
  5. Arons MM, Hatfield KM, Reddy SC, Kimball A, James A, et al.(2020) Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility:N Engl J Med.
fig 1

Formulation of Rivastigmine, a Liquid Drug Substance, for Use in a Simulating Study of Hollow Microstructured Transdermal Delivery System

DOI: 10.31038/JPPR.2020333

Abstract

Rivastigmine, used in the treatment of Alzheimer’s Disease, is in liquid state at controlled room temperatures. This project was aimed at developing a 0.5-mL isotonic liquid containing rivastigmine with the choice of 0.9% NaCl or 5% Dextrose Solutions for Injection as a simulating study to formulate a liquid dosage form per description of 3M hollow microneedles (https://multimedia.3m.com/mws/media/1004089O/solid-microstructured-transdermal-system-smts-sell-sheet.pdf). The surfactants were compared among Span 20, Span 80, Tween 40 and Tween 80 with benzyl alcohol or chlorobutanol as a preservative. Those formulations which formed microemulsions were further studied for stability at 4°C and 25°C up to one month. HPLC confirmed that there were no drug losses among the four microemulsions. Based on zeta potential and particle size analysis, Tween 80 with benzyl alcohol in 0.9 % NaCl is the best project formulation.

Keywords

Benzyl alcohol, chlorobutanol, Hollow Microstructured Transdermal System (hMTS), microneedles, rivastigmine, Tween and Span

Introduction

Alzheimer’s disease is an irreversible, progressive neurodegenerative disorder subsequently becoming a common cause of death [1]. Alzheimer’s is the most common cause of dementia affecting an estimated 5.8 million people in the United States [1]. In 2018, the approximate cost of caring for people with Alzheimer’s disease and other dementias was $290 billion USD, making it a huge economic burden for both patients’ families and our society and leading to a major public health problem. It is a huge economic burden for patients’ families and our society. Unfortunately, there has not been an effective treatment for Alzheimer’s disease thus far. One of the reasons is that the exact mechanism of disease development is still unclear. Acetylcholinesterase inhibitors such as donepezil, rivastigmine and galantamine, and N-methyl D-asparate receptor antagonist, and memantine are therapeutic agents. Among them, rivastigmine has the advantage of inhibiting both acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE). It is also superior to the aforementioned other drugs in having two US FDA approved commercial dosage forms, that is oral capsules and transdermal patches (Table 1) [2,3]. Unfortunately, nausea and vomiting have been reported by patients taking rivastigmine oral dosage form [4]. Transdermal delivery system has a better tolerability and more efficacy compared to oral capsules [5] and enables patients who have difficulties in swallowing to take medicine more easily, and less frequently (once daily, Table 1b) [6]. However, it was reported that transdermal patch may cause skin irritation when a 24-h patch is worn. Therefore, this study focuses on the feasibility of formulating rivastigmine for use of microneedle administration and formulation characterizations. Microneedle has been gathering attention on their merits, including shorter time to reach Cmax and penetrating more drugs, especially macromolecules, than the transdermal patch dosage form [7].

Table 1: Rivastigmine dosage forms on the market: (a) oral capsules, and (b) extended release transdermal films [2,3].

(a) Oral capsules

Strength Manufacturers Applicant Holder
EQ 1.5, 3, 4.5, 6 mg BASE Brand name product Novartis
EQ 1.5, 3, 4.5, 6 mg BASE Generic products Alembic; Apotex; Aurobindo; Cadila; Chartwell; Dr. Reddy’s; Macleods; Orchid; Sun; Watson

(b) Extended release transdermal film

Strength Manufacturers Applicant Holder
4.6, 9.5, 13.3 mg/24 h Brand name product Novartis
4.6, 9.5, 13.3 mg/24 h Generic products Alvogen malta operations;

Amneal; Mylan; Zydus

Microneedles devise a pain-free penetration feature (minimally invasive device which pierces through the stratum corneum without touching the nerve endings and capillaries). Its other merits are avoidance of the first-pass, improvement of skin permeability and permeation, the delivery of both small and large molecules, achieve stable plasma concentrations for up to 7 days and possibly improvement of bioavailability. There are four subtypes of microneedles: solid, coated, dissolving, and hollow [8-10].

Colloidal Dispersions, Emulsions and Microemulsions

Colloids are heterogeneous mixture systems. Colloidal dispersion is characterized by their particle sizes and shapes. A particle size ranged between 1 nm and 1 μm makes the properties of colloids fall between solution and suspensions. Whether their particles are small enough to separate on standing or are large enough to scatter light (a phenomenon called Tyndall effect, which makes the liquid’s appearance cloudy or opaque) depends on the particle size. Therefore, colloidal dispersions are further divided into molecular colloids (solutions), association colloids and dispersion colloids [11]. Emulsions are composed of two or more immiscible liquids and suitable emulsifying agent(s), which appear milky and nontransparent because of the different optical refraction of the components. Depending on the hydrophilic and lipophilic characters, emulsions may be divided into oil in water (O/W) and water in oil (W/O) subtypes. In addition to these, multiple phases of emulsions exist as W/O/W and O/W/O microemulsions. Emulsions are kinetically stable but thermodynamically unstable based on their dispersed state and the corresponding high interfacial energy. On the other hand, microemulsions are fundamentally different from emulsions in terms of appearance, structure, and properties, which are considered between micellar solution and emulsions. Their appearances vary from transparent to opalescent, moderately viscous, and optically isotropic. Microemulsions are thermodynamically stable [11,12].

Materials

Rivastigmine (1 g and 0.5 g HY-17368 in two separate orders; liquid state in controlled room temperature) was obtained from MedChem Express (Monmouth Junction, NJ). 5 % Dextrose (also known as D5W, Lot J4J577) and 20 mL syringes were acquired from Cardinal Health (Dublin, OH). Sodium chloride (Lot: 284929), Tween 40 (polyxyethylene sorbitan monopalmitate, Lot: D5ZONHK, TGI Tokyo, Japan), methanol and 0.2 micron VWR syringe filters were ordered from VWR International (Randor, PA). Span 20 (Sorbitan monolaurate, Lot: C1885020), Span 80 (sorbitan monooleate, Lot: C182545), Tween 80 (polysorbate, Lot: C188508), benzyl alcohol (Lot: C171703), chlorobutanol, and sodium phosphate dibasic were bought from PCCA (Houston, TX).

Methods

Determination of High Performance Liquid Chromatographic (HPLC) Column

USP43-NF38 2020 recommended to assay rivastigmine and its tartrate salt by using Symmetry C18, Nova Pak C18, and Spherisorb C8 columns [13]. Buffer was first prepared as 8.9 g/L of dibasic sodium phosphate dihydrate in water (0.05 M). Mobile phase was the mixture of methanol and Buffer (0.05M sodium phosphate dibasic) in 58:42 v/v ratio. The solution was let cool to controlled room temperature before the pH adjustment to the value of 8.45 using phosphoric acid. The LC assay conditions were flow rate of 1.0 mL/min, and column temperature at 40°C. The detection wavelength was chosen at 214 nm for all study LC columns with run time at 20 minutes initially. When no impurities were seen, the run time was reduced to 15 minutes or shorter to avoid the generation of biohazard wastes from the prolonged use of mobile phase containing methanol.

Standard Curve

Ten mL of rivastigmine (which density is 1.0 g/mL) initially placed in a volumetric flask to determine its weight. A sufficient amount of the mobile phase was then added to make it into 10 mL as the stock solution, which has a concentration of 1 mg/mL (because the density of rivastigmine is 1 g/mL). This stock solution was further diluted 5-fold with mobile phase each time for sequentially six times with the eighth sample only being diluted two-fold from the seventh sample. One mL of each was transferred into a HPLC vial for assay injection. Accuracy is determined based on how close a measured value is to the actual (true) value. One of the actual (true value) may rely on the use of USP Reference Standard for comparison. Precision is determined based on how close the measured values are to each other. Since Rivastigmine USP Reference Standard was not available for the free base form to report Accuracy (but available as Rivastigmine Tartrate). This project reported the Precision instead. The HPLC conditions were as the follows: wavelength at 214 nm; flow rate 1.0 mL/min; run time 12 min; column temperature 40°C.

Formulation Preparation

3M Hollow Microstructured Transdermal System (hMTS) is an integrated device containing actuator, glass injection cartridge, delivery spring, adhesive, hollow microstructured array and application spring with information available at 3M, St. Paul, MN [12]. Each glass cartridge may house 0.5 mL to 2 mL of intradermal delivery solution (Figure 1a and 1b). In this project, 4.6 μL of rivastigmine (that is 4.6 mg) was selected to develop into 0.5 mL of liquid dosage form as a single dose. As aforementioned, rivastigmine is in liquid state at controlled room temperature, its density is 1.0 g/mL. Therefore, rivastigmine was measured by volume, instead of weight in this project. Suitable excipients such as solution for injection, surfactant and preservative were added into the final volume of 0.5046 mL, which is within the glass cartridge capacity between 0.5 mL to 2 mL. The selection of excipients such as Solutions for Injection, surfactants, and preservatives are briefly described as follows. Isotonic 0.9% saline and 5% dextrose (D5W) were chosen as Solutions for Injection. Since rivastigmine is lipophilic and in liquid state at controlled room temperature (23 ± 2°C), four surfactants (Span 20; Span 80; Tween 40 and Tween 80 (Figure 2) were added respectively to check compatibility. In addition, two preservatives (benzyl alcohol or chlorobutanol) were included. Each formulation in the saline group was composed of 0.9 g of NaCl, 5.0 g of surfactants and 1.0 g of benzyl alcohol (or 0.5g of chlorobutanol) in 100 mL final volume. The D5W group contained 5.36 g of surfactants, 1.0 g of benzyl alcohol (or 0.5 g of chlorobutanol) with sufficient amount of D5W in the total of 100 mL final volume. After mixing, the degree of transparency vs. cloudiness of all formulations were visually observed to determine candidacy for further testing. Rivastigmine 0.92 mL was taken and mixed with each 100 mL of liquid to assess particle size, zeta potential and conduct HPLC.

fig 1

Figure 1: Hollow Microneedle Transdermal System (hMTS): (a) 3M device, (b) scheme showed the inside view of the integrated device, and (c) polymer microneedle array with 12 hollow microneedles, each approximately 1500 µm [12].

fig 2

Figure 2: The appearance of surfactants from left to right: Span 20 (HLB 8.6), Span 80 (HLB 4.0), Tween 40 (HLB 15.6) and Tween 80 (HLB 15.0).

Visual Characterization

The miscibilities of resultant formulations after rivastigmine mixed with one of the two Solutions for Injection, one of the four surfactants and one of the two preservatives were visually observed.

Particle Size Analysis and Zeta Potential

Rivastigmine (9.2 μL, density 1 g/mL) was added to the aforementioned different blank formulations into the total volume of 2 mL for each. The formulations were analyzed by the NanoBrook 90 Plus Particle Sizer. The refractive indexes of rivastigmine, Span 20, Tween 40, Tween 80, benzyl alcohol, and chlorobutanol used in particle size analysis were 1.518, 1.474, 1.470, 1.473, 1.539, and 1.491, respectively (Refractive index of a medium is the ratio of the speed of light in vacuum to the speed of light in the medium. Therefore, it has no units). The zeta potentials of formulations were analyzed using NanoBrook 90 Plus Zeta Potential Reader.

One-Month Stability Study

Each formulation sample containing 4.6 μL of rivastigmine (equivalent to 4.6 mg) was subject to HPLC assay as Time 0 samples. The LC method was adopted from USP-NF 2020 [13]. One half mL of this liquid plus 4.6 μL (4.6 mg) of rivastigmine was then taken into an amber vial and crimped with an aluminum cap (as a single dose) and stored at 4°C and 25°C respectively (n = 3) for one month prior to HPLC assay to determine the drug loss and compare the stabilities among formulation candidates.

Statistics

AUCs obtained from HPLC were statistically assessed by one way or two way ANOVA tests when normality and equal variance were met. Kruska-Wallis test was used if normality and equal variance were not met. Tukey as postdoc was used to compare the three groups. Population differences are considered significant at P < 0.05.

Results

Visual Observation

When using D5W as the Solution for Injection and mixed with one of the four surfactants, the Span 20 group looked homogeneous, but Span 80 appeared as heterogeneous. Tween 40 formed a yellowish clear solution. Tween 80 was a pale yellowish clear solution. Therefore, Span 80 was excluded from further experiments. Next, one of the two preservatives was added into these formulations. Preservative (either benzyl alcohol and chlorobutanol) in Span 20 formed milky microemulsion (Table 2). Benzyl alcohol with Tween 40 resulted in colloidal dispersion, while chlorobutanol formed microemulsion. Like Tween 40, chlorobutanol with Tween 80 formed microemulsion but benzyl alcohol had colloidal dispersion. Using 0.9 % NaCl for Solution for Injection, in contrast with D5W, Span 20 and Span 80 were heterogeneous and immiscible. From these results, they were eliminated from the formulation. Tween 40 in 0.9% NaCl was a yellowish clear solution. When benzyl alcohol was added as a preservative, it formed yellowish colloidal dispersion, while chlorobutanol formed precipitations. Tween 80 in 0.9% saline was also a clear solution. When either preservative was added to Tween 80, they formed clear microemulsion.

Table 2: Miscibilities of surfactants and preservatives in D5W or 0.9% NaCl Solution.

Surfactant

Preservative

D5W

0.9% NaCl

Span 20 Benzyl Alcohol

Emulsion

Non-miscible

Chlorobutanol

Emulsion

Non-miscible

Span 80

Non-miscible

Non-miscible

Tween 40 Benzyl Alcohol

Colloidal dispersion

Colloidal dispersion

Chlorobutanol

Microemulsion

Precipitation

Tween 80 Benzyl Alcohol

Colloidal dispersion

Microemulsion

Chlorobutanol

Microemulsion

Microemulsion

Particle Size and Zeta Potential Analyses

Span 20 with each preservative in D5W, Tween 80 with chlorobutanol in D5W and Tween 80 with each preservative in 0.9% NaCl were good candidates only in terms of particle sizes (Table 3). Among D5W, Tween 40 was significant different with Span 20 and Tween 80. However, there was no significant difference by using one or the other preservatives. Within benzyl alcohol in D5W, Span 20 and Tween 40 showed significantly different. Nevertheless, Span 20 and Tween 80 or Tween 40 and Tween 80 showed no difference. Furthermore, within chlorobutanol, between Tween 40 and Span 20 or Tween 80 showed a significant difference. Among the sample groups made of 0.9 % NaCl as Solution for Injection, there is no significant difference neither caused by surfactants nor by preservatives. Tween 80 with chlorobutanol in D5W and Tween 80 with either preservative in 0.9% NaCl can especially be considered as good candidates at time zero. Zeta potentials were also showed in the first right column of Table 3. There was no significant difference in terms of which surfactant or preservative was used in D5W or 0.9% NaCl. This suggests the stabilities of all formulation were similar at time zero.

Table 3: Particle sizes and Zeta potentials of six formulas using D5W as Solution for Injection and three formulas using 0.9% NaCl as Solution for Injection.

(a) D5W as Solution for Injection

Surfactant

Preservative

Particle Size (nm)

Mean ± SD

Zeta Potential (mV)

Rivastigmine in D5W alone

434.27 ± 74.90

Span 20

 

Benzyl Alcohol

105.08 ± 25.53

-2.40 ± 5.85

Chlorobutanol

148.67 ± 60.42

-4.49 ± 9.67

Tween 40

Benzyl Alcohol

6356.20 ± 6314.59

-4.90 ± 1.26

Chlorobutanol

7186.41 ± 5069.88

-2.14 ± 3.10

Tween 80

Benzyl Alcohol

1749.11± 1902.47

-5.88 ± 0.62

Chlorobutanol

10.33 ± 0.17

-1.31 ± 4.77

(b) NaCl as Solution for Injection

Surfactant

Preservative

Particle Size (nm)

Mean ± SD

Zeta Potential (mV)

Rivastigmine in 0.9% NaCl alone 360.93 ± 16.68  –
Tween 40

Benzyl Alcohol

13063.80 ± 13634.23

-4.13 ± 6.75

Tween 80

Benzyl Alcohol

12.74 ± 0.17

10.54 ± 16.86

Chlorobutanol

11.49 ± 0.10

5.46             18.06

HPLC Assay

Column Selections and Standard Curve Linearity Range

Three LC columns (Symmetry C18, Nova Pak C18, and Spherisorb C8) were evaluated in this project. The tailing factors of column kinetics showed that Symmetry C18 was the best column to assay both rivastigmine and its tartrate salt form. The limit of detection of rivastigmine dissolved in mobile phase, and assayed by HPLC according to the method described in Section 5.5 was 0.00032 μL (0.0000320 mg/mL). The limit of quantification was 0.00064 μL (0.0000640 mg/mL). The linearity ranged from 0.000032 mg/mL to 1.0 mg/mL.

The AUC of the formulations which were compounded with different combinations of Solutions for Injection, surfactants and preservatives were assayed and converted into concentrations by applying with an established standard curve. In the group of using D5W as the Solution for Injection, whether the preservative was benzyl alcohol or chlorobutanol, the sample containing Span 20 had a significantly low concentration than those containing Tween 40 and Tween 80 (n = 4, p < 0.01, Figure 3a). There was no difference between either preservative (benzyl alcohol and chlorobutantol) whether the surfactant was Span 80, Tween 40 or Tween 80 (Figure 3a). When 0.9% NaCl solution was used as the solution for injection, there were no differences between Tween 40 and Tween 80 as surfactant while benzyl alcohol was the preservative (Figure 3b). Also, when Tween 80 was used as the surfactant, there was also no difference in using either preservative. The formulation containing benzyl alcohol and Tween 40 was not different to the formulation containing chlorobutanol and Tween 80 in 0.9% NaCl (n = 3, p > 0.05, Figure 3b).

fig 3

Figure 3: The rivastigmine concentrations of time 0 formulation candidates after chromatographic AUC being converted into concentrations using standard curves: (a) they were differed when D5W was used as the Solution for Injection; while (b) there was no differences when 0.9% NaCl solution was used as the solution for injection. (**p < 0.01, and ***p < 0.001).

One-Month Stability Study

Table 2 showed four of the studied formulations formed into microemulsion. They were further followed up with a stability study at 4°C and 25°C. They were Tween 40 and Tween 80 with chlorobutanol in D5W, and Tween 80 with either chlorobutanol or benzyl alcohol in 0.9% NaCl. When the samples were assayed by HPLC for drug content, there was no significant difference between time 0 and one-month in the metal-cap sealed glass vial samples stored at 4°C and 25°C, respectively (Table 4).

Table 4: The Concentration of Each Formulation at Time 0 and Stored at 4 and 25°C.

Solution for Injection

Surfactant

Preservative Mean ± SD (n = 3)
Time 0 4°C

25°C

D5W

Tween 40

Chlorobutanol 0.5165 ± 0.06047 0.5178 ± 0.06480

0.5537 ± 0.06496

D5W

Tween 80

Chlorobutanol 0.4655 ± 0.03859 0.4571 ± 0.04455

0.4693 ± 0.03319

0.9 % NaCl

Tween 80

Benzyl Alcohol 0.4358 ± 0.01938 0.4472 ± 0.00303

0.4424 ± 0.01940

0.9 % NaCl

Tween 80

Chlorobutanol 0.4519 ± 0.01719 0.4490 ± 0.00949

0.4539 ± 0.01468

After One-Month

Discussion

The stability test performed by EMEA was for up to 5 years reported that rivastigmine free base is very sensitive to oxidation, moisture and heat [14]. Degradation is accelerated by the influence of heat. Therefore, it is recommended to be stored at 5 ± 3°C with protection from light and with protective gas [14]. Although the commercial Exelon Rivastigmine Patches also used free base drug, and the FDA approved labels indicated that they may be stored at controlled room temperature, perhaps it is because this commerical patch is packaged in aluminum pouch with an internal polymer coat and external composite printable surface. In our study, we compared the product concentrations at Time 0 and after one month and found no drug loss threatened by oxidation and moisture whether the formulations were stored at 4°C or 25°C. It was because our formulation was packed in metal-cap sealed glass vials prior to being subject to each storage temperature. Since the product of this project is in liquid form (unlike the transdermal patches and oral capsules which are solids), it is suggested that the long-term storage temperature be studied.

Conclusion

When the rivastigmine concentrations among the three surfactants (Span 20, Tween 40 and Tween 80) using benzyl alcohol as the preservative in D5W were compared, Span 20 was significantly different from Tween 40 (p < 0.01). It was also different from Tween 80 (p < 0.01), while Tween 40 and Tween 80 were no different (p = 0.981). This identified that Span 20 is not a suitable surfactant. The same results were acquired when using chlorobutanol as the preservative in D5W. Span 20 was different from Tween 40 (p < 0.001) and Tween 80 (p < 0.001), while Tween 40 and Tween 80 were no different (p = 0.996). Therefore, rivastigmine is not emulsifiable by Span 20 whether the continuous phase is D5W or 0.9% NaCl. Microneedle dosage form is pain-free, minimal invasive and can be administered by health care professionals in clinics and hospital settings, trained home care personnel, or patients themselves at home. This is due to the short injection time to administer 0.5 to 2 mL without having to use a battery or electrical power (Figure 1a and 1b). Syringe filtration of 0.2 micron was applied to obtain the required sterilization of project formulations. Vacuum filtration may be tested as the first sterilization strategy in scale up due to the small volume per dose before studying another method. Future investigation can also focus on whether a preservative in the formulation of this single dose sealed product can be omitted. In the dermis dendritic cells function as immune system responses. Therefore, there will be great potential to deliver vaccines or large molecules using different subtypes of microneedles into the dermis, especially for pediatric, geriatric and other special needs patient populations.

References

  1. Alzheimer’s Association (2019) Alzheimer’s Disease Facts and Figures. Alzheimers Dement 17-57.
  2. https://www.accessdata.fda.gov/scripts/cder/ob/search_product.cfm (Accessed Nov 22, 2020).
  3. Exelon Scientific Discussion. Available at: https://www.ema.europa.eu/en/documents/scientific-discussion-variation/exelon-h-c-169-x-0038-epar-scientific-discussion-extension_en.pdf (accessed Nov 22, 2020).
  4. Birks JS, Chong LY and Grimley Evans J. (2015). Rivastigmine for Alzheimer’s disease. Cochrane Database Syst Rev. [crossref]
  5. Cummings J, Lefèvre G, Small G, Appel-Dingemanse S (2007) Pharmacokinetic rationale for the rivastigmine patch. Neurology [crossref]
  6. Sadowsky CH, Micca JL, Grossberg GT, Velting DM (2014) Rivastigmine from capsules to patch: therapeutic advances in the management of Alzheimer’s disease and Parkinson’s disease dementia. Prim Care Companion CNS Disord. [crossref]
  7. Donnelly RF, Singh TRR, Morrow DIJ, Woolfson MAD (2012) Microneedle-Mediated Transdermal and Intradermal Drug Delivery. Wiley.
  8. Dharadhar S, Majumdar A, Dhoble S and Patravale V (2019) Microneedles for transdermal drug delivery: a systematic review. Drug Development and Industrial Pharmacy 45: 188-201. [crossref]
  9. Larraneta E, Lutton RE, Woolfson DA and Donnelly RF (2016). Microneedle arrays as transdermal and intradermal drug delivery systems: Materials science, manufacture and commercial development. Materials Science and Engineering R 104: 1-32.
  10. Corrie SR, Kendall MAF (2017) Transdermal Drug Delivery. In: Hillery A, editor. Drug Delivery: Fundamentals and Applications, CRC Press, pg: 225-226.
  11. 3: Physical and Physicochemical Principles of Drug Formulation, and Ch. 18 Emulsions. (2018). In: Fahr A, Voigt’s Pharamaceutical Technology . Wiley, pg: 41-42, 549-550.
  12. https://multimedia.3m.com/mws/media/1004089O/solid-microstructured-transdermal-system-smts-sell-sheet.pdf (Accessed Nov 22, 2020)
  13. S. Pharmacopeial Convention (2020) USP Monographs: Rivastigmine. In: USP43-NF38. Rockville MD: U.S. Pharmacopeia, pg: 3922.
  14. Scientific Discussion (2007). London: EMEA. https://www.ema.europa.eu/en/documents/scientific-discussion-variation/exelon-h-c-169-x-0038-epar-scientific-discussion-extension_en.pdf (Accessed Nov 22, 2020).

Incidence and Factors of Prolonged Postoperative Ileus in Gastric Cancer Surgery

DOI: 10.31038/CST.2021612

Abstract

Objective: Prolonged Postoperative Ileus (PPOI) is a common complication after abdominal surgery, but data about incidence and risk factors of PPOI for patients with gastric cancer are rare. We sought to investigate the incidence and related incidental factors of PPOI.

Methods: A retrospective cohort study was carried out using a registry database consecutively collected from June 2016 to October 2016. The incidence and incidental factors of PPOI after gastric cancer surgery were calculated and analyzed.

Results: There were 22 patients diagnosed with PPOI. The incidence of PPOI after gastric cancer surgery was 26.5%. There were significant differences in the PPOI among ages, postoperative body temperature, postoperative opioid agents use (Dezocine) (P<0.05). Logistic regression analysis results showed that the age ≥65 years, postoperative temperature ≥38℃, the use of Dezocine after surgery were the independent risk factors of PPOI after gastric cancer surgery.

Conclusion: The occurrence of PPOI after gastric cancer surgery has great relationship with age, postoperative temperature, the use of Dezocine after surgery. We may accelerate the course of convalescence by strengthening the management of perioperative periodandtaking reasonable measures to against the risk factors.

Keywords

Gastric cancer, Prolongedpostoperative ileus, Incidental factor

Prolonged Post-Operative Ileus (PPOI) is an aberrant pattern of gastrointestinal motility, most frequently occurring after abdominal surgery. The clinical manifestations include abdominal pain, nausea, vomiting, moderate to severe sick, intolerable of a solid diet and a delayed passage of flatus and stool, which usually resolves spontaneously within 2 to 3 days [1,2]. If the symptoms persist for more than 4 days, Prolonged Postoperative Ileus (PPOI) is defined [3]. PPOI hampers the patients’ recovery, increases postoperative morbidity and leads to longer length of hospital stay [4]. Understanding the incidence and factors of PPOI can help clinicians take effective measures to reduce the incidence of PPOI, and ultimately achieve rapid recovery of patients. This study retrospectively collected the clinical information of gastric cancer patients who received surgical treatment in our department, analyzed the related factors of PPOI occurrence, in order to take targeted prevention and treatment measures.

Materials and Methods

1. Study Population

A retrospective cohort study was carried out using a PPOI registry database consecutively collected between June 2016 and October 2016 in Chinese PLA General Hospital. Among them, 62 were male and 21 were female, the ratio of male to female was about 3:1, they were between 39 and 89 years old , and the average age was (60.1 ± 11.0) years . Among them, 34 cases underwent total gastrectomy, 40 cases underwent distal gastrectomy and 9 cases underwent proximal gastrectomy.

2.  Diagnosis of PPOI

The definition of PPOI was adopted from the results of a systematic review and global survey [3]. The validity of this concept was universally accepted by a variety of investigators [5-8]. Accordingly, diagnoses of PPOI were identified if two or more of following events after day 4 postoperatively: (a), nausea or vomiting; (b) inability to tolerate an oral diet over the prior 24 hour; (c) absence of flatus over the prior 24 hours; (d) abdominal distension; (e) radiologic confirmation.

3.  Method

The clinical data of 83 patients with gastric cancer were collected, including gender, age, BMI index, previous abdominal surgery history, surgical method, surgical resection range, abdominal incision length, operation time, intraoperative blood loss, postoperative body temperature, postoperative serum leukocyte level, preoperative serum albumin level, postoperative serum albumin level, preoperative serum K + level, postoperative blood loss, the level of serum K +, the use of dezocine after operation, perioperative blood transfusion, the first time to get out of bed after operation and pathological stage. Objective to analyze the influence of various factors on the occurrence of PPOI.

Statistical Analysis

SPSS 22.0 software was used for statistical analysis. c2-test was used for count data. Logistic regression model was used for independent factor analysis. P < 0.05 was considered as statistical significance.

Results

1. Postoperative Complications of PPOI

There were 30 patients who did not exhaust and defecate within 96 hours after gastric operation, 14 patients with moderate to severe nausea and vomiting, and 28 patients with moderate to severe abdominal distension. According to the diagnostic criteria, 22 cases of PPOI occurred in 83 patients (including 3 cases of non-exhaust defecation combined with moderate to severe nausea and vomiting within 96 h, 15 cases of non-exhaust defecation combined with moderate to severe abdominal distension within 96h, and 4 cases of non-exhaust defecation combined with moderate to severe nausea, vomiting and moderate to severe abdominal distension within 96h), with an incidence of 26.5%. After conservative treatment, the clinical symptoms of 22 patients with PPOI were improved.

2. Relationship between PPOI and Clinical Factors

Univariate analysis showed that age (P = 0.001), postoperative body temperature (P = 0.031), postoperative serum K + level (P = 0.017) and postoperative analgesia with dezocine (P = 0.014) were significantly associated with PPOI. See Table 1.

Table 1: The results of the univariate analysis for factors related to PPOI.

Subgroup

Number of study’s PPOI [ (%)] X2 Value P Value
Sex

Male

62 17 (27.4) 0.105 0.746
Female 21

5 (23.8)

Age (years)

≥65 26 13 (50.0) 10.727

0.001

<65

57

9 (15.8)

BMI (kg/m²)

≥24 49 12 (24.5) 0.250

0.617

<24

34

10 (29.4)

Previous abdominal surgery

Yes 16 4 (25.0) 0.023

0.879

No

67 18 (26.9)
Operation methods

Open surgery

31 10 (32.3) 0.840 0.359
Laparoscopic surgery 52

12 (23.1)

Surgical resection range

Total stomach 34

10 (29.4)

0.279

0.870

Distal stomach

40

10 (25.0)

Proximal stomach

9

2 (22.2)

Length of abdominal incision (cm)

>10 34

9 (26.5)

0

0.995

≤10

49 13 (26.5)
Operation time (h)

≥4

39 9 (23.1) 0.444 0.505
<4 44

13 (29.5)

Operative blood loss (ml)

≥200 39

7 (17.9)

2.765

0.096

<200

44

15 (34.1)

Postoperative body temp (℃)

≥38.0 17

8 (47.1)

4.636

0.031

<38.0

66

14 (21.2)

Postoperative WBC (×109/L)

≥10 66

17 (25.8)

0.093

0.761

<10

17

5 (29.4)

Preoperative albumin (g/L)

≥30

82

21 (25.6)

2.807

0.094

<30 1

1 (100.0)

Postoperative albumin (g/L)

≥30 62 14 (22.6) 1.938

0.164

<30

21

8 (38.1)

Preoperative K+ (mmol/L)

≥3.0 83 22 (26.5)

<3.0

0

0

Postoperative K+ (mmol/L)

≥3.0 81 20 (24.7) 5.682

0.017

<3.0

2 2 (100)
Postoperative analgesia with Dezuocine

Yes

38 15 (39.5) 6.050 0.014
No 45

7 (15.6)

Blood transfusion

Yes 22 7 (31.8)

0.434

0.510

No

61 15 (24.6)
Postoperative ambulation time (h)

≥24

47 15 (31.9) 1.627 0.202
<24 36

7 (19.4)

Postoperative tumor stage

Ⅲ~Ⅳ 41

13 (31.7)

1.125

0.289

Ⅰ~Ⅱ

42

9 (21.4)

The results showed that age ≥ 65 years old, postoperative body temperature ≥ 38 ℃, postoperative use of dezocine analgesia were the independent risk factors of PPOI in patients after gastric surgery. See Table 2.

Table 2: The results of the multivariable logistic analysis for factors related to PPOI.

B

SE Wald P OR

95CI

Age(years)≥65

2.857 1.177 5.895 0.015 17.415 0.3505-0.6495
Postoperative body temp (℃) ≥38 2.764 1.110 6.202 0.013 15.855

0.2066-0.7334

Postoperative analgesia with Dezuocine

3.062 1.189 6.631 0.010 21.379

0.2859-0.4941

Discussion

Ambiguity surrounding the definition of PPOI has obscured the ability to accurately determine its incidence, although studies have typically placed this at between 10-25% following major elective abdominal surgery [9,10]. In our study, the incidence of PPOI after gastric surgery was 26.5%, which was lower to that reported by Huang et al., (32.4%) in gastric cancer [6]. The incidence of PPOI was variable in different studies due to the ambiguity about the definition. Controversies have mainly focused on the duration of ileus that should be regarded as prolonged. An observational study of 2400 consecutive patients determined 3 days as prolonged ileus, whereas Dai et al., specified 4 days and Artinyan et al., defined more than 6 days [5,11,12]. A global survey and systematic review extracted definitions from 52 identified trials and proposed 4 days as a standardized endpoint for PPOI [2]. It was well accepted in subsequent studies, and we also adopted this definition as diagnostic criteria in our study [4,13]. Given the variability in the definitions of this significant complication, further research is necessary to establish a more precise, validated definition.

Advanced age (>65 years) was identified as an independent risk factor for PPOI in our study, consistent with the finding of several previous studies [6,14]. A previous mechanism research has demonstrated that imbalances between pro- and anti-inflammatory mechanisms may be the underlying pathophysiology for the increased susceptibility to POI and the increased severity and duration of POI observed in the elderly. Moreover, elderly patients generally have a decreased nutritional and functional condition, as reflected by a higher NRS 2002 score and a higher prevalence of anemia and hypoalbuminemia in this study. Preoperative hypoalbuminemia and comorbidities were reported to be independent risk factors for PPOI in several previous studies, indicating that the decreased nutritional and functional status may play a role in the development of PPOI. In our study, these factors were associated with PPOI in the univariate analysis (Table 1), but when they were included in the multivariate analysis, these associations became not significant, which can be explained by their connections with advanced age. This result suggested that advanced age can reflect a more comprehensive body functional and nutritional status, serving as an independent risk factor for PPOI.

In the present study, we identified postoperative body temperature as an independent risk factor for PPOI. The postoperative fever after gastric surgery is mostly absorbed heat which was caused by the absorption of aseptic necrotic substances and inflammatory factors, generally no more than 38.5°C. Some fever was caused by postoperative infection, drug allergy and other reasons. Gastrointestinal tract is dominated by sympathetic nerve, parasympathetic nerve and enteric nerve. Sympathetic nerve usually inhibits gastrointestinal motility and gland secretion, while parasympathetic nerve regularly does the opposite. Fever may cause sympathetic nerve excitation, parasympathetic nerve inhibition and more water evaporation , thus causing gastrointestinal motility hypofunction, decreased secretion of digestive juice and decreased activity of digestive enzymes lead to anorexia, dry oral mucosa, abdominal distension and other clinical signs [15]. In this study, postoperative use of dezocine analgesia is also an independent risk factor for PPOI. Opiates have been widely reported to be independently associated with POI after colorectal surgery. [16-18]. This conclusion was also confirmed in gastric cancer surgery by our study. It has been demonstrated that the inhibitory effect of opiates on postoperative gastrointestinal motility was mediated by peripheral μ-opioid receptors. Postoperative opiates dose is one of the most important modifiable risk factors for POI. Therefore, various measures should be adopted to reduce the usage of opiates, including using nonsteroidal anti-inflammatory drugs as alternatives to opiate analgesics and using thoracic epidural analgesia.

In addition, it was reported that open surgery, previous abdominal surgery, hypoproteinemia, excessive infusion, perioperative blood transfusion, and delayed ambulation after operation were not conducive to the recovery of gastrointestinal function [19,20]. However, no significant statistical difference was found in the occurrence of PPOI among the above clinical indicators in this study. The reason may be related to the sample size.

There are several other limitations in this study. First, our current study is a single-center study. However, we optimized the study design to minimize possible bias. Second, there was a lack of robust external validation of the scoring system. Therefore, whether the proposed scoring system will retain its predictive capability in an independent dataset is yet to be determined. A prospective multiple-center study is required to provide evidence for the validation of the scoring system in the future.

References

  1. Vather R, Bissett I (2013) Management of prolonged post-operative ileus: Evidence-based recommendations. ANZ J Surg 83: 319-324. [crossref]
  2. Wolthuis AM, Bislenghi G, Lambrecht M, fieuws S, Buck van Overstraeten A, et al. (2017) Preoperative risk factors for prolonged postoperative ileus after colorectal resection. Int J Colorectal Dis 32: 883‐ [crossref]
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  4. Mao H, Milne T, O’Grady G, Vather R, Edlin R, et al. (2018) Prolonged postoperative ileus significantly increases the cost of inpatient stay for patients undergoing elective colorectal surgery: results of a multivariate analysis of prospective data at a single institution. Dis Colon Rectum 62: 631‐ [crossref]
  5. Chapuis PH, Bokey L, Keshava A, Rickard MJFX, Stewart P, et al. (2013) Risk factors for prolonged ileus after resection of colorectal cancer: An observational study of 2400 consecutive patients. Ann Surg 257: 909‐ [crossref]
  6. Huang DD, Zhuang CL, Wang SL, Pang WY, Lou N, et al. (2015) Prediction of prolonged postoperative ileus after radical gastrectomy for gastric. Medicine (Baltimore) 94: 2242. [crossref]
  7. Moghadamyeghaneh Z, Hwang GS, Hanna MH, et al. (2016) Risk factors for prolonged ileus following colon surgery. Surg Endosc 30: 603‐
  8. Wolthuis AM, Bislenghi G, Fieuws S, de Buck van Overstraeten A, Boeckxstaens G, et al. (2016) Incidence of prolonged postoperative ileus after colorectal surgery: A systematic review and meta‐ Colorectal Dis 18: 1‐9.
  9. Kronberg U, Kiran RP, Soliman MSM, Hammel JP, Galway U, et al. (2011) A characterization offactors determining postoperative ileus after laparoscopic colectom enables the generation of a novel predictive score. Ann Surg 253: 78-81. [crossref]
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  14. Hain E, Maggiori L, Mongin C, Prost AlDJ, Panis Y (2018) Risk factors for prolonged postoperative ileus after laparoscopic sphincter‐saving total mesorectal excision for rectal cancer: An analysis of 428 consecutive patients. Surg Endosc 32: 337‐ [crossref]
  15. Wolthuis AM, Bislenghi G, Fieuws S, Overstraeten AB, Boeckxstaens G, et al. (2016) Incidence of prolonged postoperative ileus after colorectal surgery: A systematic. Colorectal Dis 18: 1-9.
  16. Bragg D, El-Sharkawy AM, Psaltis E, Maxwell-Armstrong CA, Lobo DN, et al. (2015) Postoperative ileus: Recent developments in pathophysiology and management. Clin Nutr 34: 367-376. [crossref]
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Severe Spinal Column Deformity from Scoliosis with Harrington Rods Implant

 

Severe scoliotic deformity of the thoracolumbar spine imposes a significant anesthesia challenge for non-spine surgery. Patients with severe scoliosis are at increased risk for perioperative morbidity and mortality due to underlying pulmonary and cardiac dysfunctions [1-3]. Stress, pain, mechanical ventilation, and surgery-induced inflammation can further increase the risk of postoperative cardiopulmonary failure. We present a preoperative chest radiograph demonstrating extensive thoracolumbar scoliosis with Harrington rods implant, anatomic distortion, and bony dysmorphism (Panel A, white arrow). The patient underwent a living donor kidney transplant under general anesthesia. Preoperative anesthesia and surgical planning is crucial and should focus on airway difficulty, ventilation management, positioning, new kidney location, and postoperative pain management.

The kidney transplant is a heterotopic transplant surgery meaning the kidney is placed in a different location than existing kidneys. The new kidney is on the right or left side of the abdomen to allow the donor kidney to be easily anastomosed surgically to blood vessels and the bladder of the recipient. Due to the extensive deformity of the spinal column and right chest wall (Panel B, black arrow), the operation was performed in the left lateral decubitus position. Moreover, the donor kidney was placed to the right iliac fossa to decrease the risk of left lung atelectasis, restricted breathing, and sprinting from pain.

Ultrasound-guided quadratus lumborum was difficult in this patient due to atrophy of trunk muscles, chronic scarring, and artifacts from the implant, which required careful assessment of anatomical landmarks to perform a successful nerve block.

AWHC-3-4-324-g001

References

  1. APA Bradford, David S, Tay B, Hu S (1999) Adult Scoliosis: Surgical Indications, Operative Management, Complications, and Outcomes. Spine24: 2617-2629. [crossref]
  2. Albert TJ, Purtill J, Mesa J, McIntosh T, Balderston RA (1995) Health outcome assessment before and after adult deformity surgery. A prospective study. Spine 20: 2002-2005. [crossref]
  3. Kulkarni Anand H, Ambareesha M (2007) Scoliosis and anaesthetic considerations. Indian Journal of Anaesthesia. 51: 486-495
fig 1

Distinction between Natural and Anthropogenic Contaminants of Atmospheric Precipitates from Northeastern Kansas Based on Their Elemental Contents and Strontium Isotopic Signatures

DOI: 10.31038/GEMS.2021311

Abstract

This study was designed to identify and possibly evaluate the changing occurrence of major pollutants in different atmospheric precipitates (rain, snow and hail) that were collected in northeastern Kansas next to the Konza Prairie Preservation site by analyzing their elemental and Sr isotope compositions. Potential pollutants like the local soils and their clay material, as well as the fly ash of a nearby coal-burning power plant were also analyzed. Positively correlated with K in the analyzed precipitates, the Na contents suggest a supply of fertilizers and/or natural plant organics. Combining the four identified pollutants of the precipitates that is to say the soils, the fly ash, the fertilizers and the plants allows evaluation of their changing contribution during a single precipitation event. The duration of the rain events monitors also the changing contribution of the identified pollutants. Variations of the 87Sr/86Sr ratio from precipitates during lasting events are confirmed by changing distribution patterns of the REEs. In fact, soil minerals contribute mostly at the beginning of the precipitation events and are replaced progressively by the industrial fly ash that becomes dominant towards the end of the precipitation events, depending on the duration and wind directions. At last not least, the different contaminants are recognizable by changing elemental contributions, REE distribution patterns and 87Sr/86Sr ratios. Their variable occurrence can be followed in the wet solutes, but a strict quantification cannot be provided due to elemental and isotopic interconnections between the natural and the anthropogenic contributors.

Keywords

Wet precipitates; Major, Trace and rare-earth elemental contents; Sr isotopic compositions; Soil particles; Fly ash from a power plant; Fertilizers; Plant organics; Northeastern Kansas, USA

Introduction

Myriads of complex chemical reactions between vapor-liquid molecules and dust particles of multifarious types of organic and inorganic origin constitute important links in the atmosphere between continental land and ocean mass. The survey of the solute compositions of such wet atmospheric precipitations during successive seasons or years as monitoring experiments is of high practical value to various human issues. In fact, the contents of rain solutes vary temporally and spatially in most cases due to interactions between moisture often of marine source and local nanometer-sized solid particles of natural and/or anthropogenic sources. Much information about these parameters provides sound bases for a critical understanding of the bio-geochemical influences in ecological standings on the continents and in the oceans, often on the basis of anion analyses. In fact, identification and quantification of such interactions in a given temporal and spatial setting helps understand atmospheric responses to changes in continental and oceanic conditions impacted more and more heavily by human activities. Finding the nature of the chemical imprints of atmospheric rainwaters may, therefore, increase the identification of the contributors influencing and possibly modifying the interactions between solid particles and atmospheric moist. Reconstructing chemical paths of solute atmospheric precipitations remains a challenging task as the components of rain solutes can be, even during a single precipitation event, of multiple sources including sea-spay, a wide variety of land-derived aerosols (fine erosional debris of organic and inorganic origins from land surfaces, cultivated or not), a mix of aerosols from local and regional industrial activity, together with secondary aerosols resulting from reactions in the cloudy atmosphere. In fact, nearly similar chemical and isotopic signatures may correspond to different sources, and different sources may combine to produce the same effects. The main interest, if not the only one, in the selection of specific effects in natural processes should be in the identification of the natural and anthropogenic contributors with as many criteria as possible to identify and evaluate all side impacts. The challenge is then in the identification of specific geochemical signatures that are the keys to shed light on the source or the sources of solutes in diverse atmospheric precipitations over a given region and during a given period of time. Of course, the literature is abundant with documents on the significance of the currently analyzed anions [1,2], as well as on the presence of metals and non-metals, of atmospheric precipitations for the reconstruction of their chemical evolution [3]. In many instances, they have been used to portray the potential sources of the solutes and to contribute to the understanding of elementary fluxes.

However, not speaking about organic aerosols that have been identified often in wet clouds [4], another type of rain components was seldom mentioned in the identification process, for instance the organic remnants of the plants from the Earth surface. In turn, the contours of the components from rain solutes include potentially: (1) sea-spray (and hence sea-derived solutes), (2) continental dust consisting of soil minerals, (3) industrial aerosols including atmospheric condensation products formed from industrial-derived reactants, and (4) various chemical aerosols carried by solid compounds [5]. Therefore, organic pollutants of rainwaters collected in cities [6] or in mountain snow [7] represent apparently additional components that can help identifying and evaluating the degree of natural relative to industrial pollution. However, to the best of our knowledge, an identification of natural organics deriving strictly from terrestrial plants and contaminating wet precipitations has not been addressed often until now, excluding the organics of the clouds [8] and those integrating dissolved organic carbon [9,10]. Exploring this potential organic contribution is one of the challenges of the present attempt based on elemental contents and Sr isotopic signature from varied local atmospheric precipitates, not including intentionally the anionic components. In fine, another purpose here was the use of less conventional tools susceptible to balance the supply of varied natural or anthropogenic contaminants of organic or inorganic origin in order to explore another way to analyze wet precipitates than by their anionic compositions. In addition to the major- and trace-element analyses as origin markers, the potentials of rare-earth elements (REEs) and 87Sr/86Sr isotopic ratios were also addressed to decrypt the chemical characteristics of atmospheric solutes that were collected over a local area to the NW of the city of Manhattan in eastern Kansas, U.S.A. (Figure 1A). The REE data of rainwaters, for instance, were already used as tracers of natural and anthropogenic pollution [11-14] and were included in studies of continental and oceanic aquatic systems [15]. The sampling of snow, rain and hail precipitates was completed on the site of the Kansas State University at the northwestern part of the city of Manhattan in northeastern Kansas (U.S.A.), not as a long term monitoring experiment but as a comparative determination of the chemical compositions of precipitate solutes in order to identify the major “contaminants”, natural and anthropogenic, organic and inorganic. This sampling location was chosen because it is close to the Konza National Preservation Site and about 40 km to the SWS of the operational Jeffries coal-powered electric plant of Pottawatomie. The ash rejections of this power plant were also collected and analyzed, as well as soil samples of nearby agricultural fields outside the city of Manhattan. A reason of the location choice is also the nearby occurrence of the Flint Hills that represent a huge natural space that extends from Nebraska to the N to Oklahoma to the S (Figure 1A) as alternating limestones and shales covered by surficial soils, especially along valley cuts. The basement rocks and the associated soils contain large amounts of cherts that rendered difficult crop cultivation, which explains in turn why this regional landscape is mostly covered by grass for cattle ranching [16]. Some land is also farmed next to the Flint Hills, on which the farmers spread fertilizers, another temporary pollutant of the atmosphere and the wet precipitations.

GEMS 2021-311-Fig1-Updated

Figure 1: (A) The extend of the Flint Hills in Kansas and the locations of the Konza Prairie and the Jeffries power plant with the names of the nearby cities highlighted in grey (modified from Reichman, 1991); (B) Locations of the Konza Prairie to the South of the city of Manhattan and the collection site to the North-West.

Materials and Methods

The collection period of the precipitates for the present study started at the end of 2003 until the middle of 2005 with, even, a hail event in June 2008 (Table 1). The successive wet samples were stored after collection in large super-clean polyethylene containers rinsed first with the ambient rainwaters before collection, and were analyzed right after. In the case of the long-lasting rainfalls, individual sets of samples were collected successively and were analyzed (Table 1). The pHs were measured immediately after collection and before analysis. Then, the precipitates were filtered through Gelman 0.4 μm filters and stored in super clean polyethylene bottles that were rinsed with purified nitric acid solution, and several times afterwards with deionized water. An aliquot of each precipitate was pored into a 100 cm3 clean bottle for storage, and the remainder kept in the acidified state at a pH of approximately 2.5 by adding a few drops of highly purified, vacuum distilled concentrated HNO3 acid. As the rainwaters were filtered at a 0.4 μm cut-off size, it is assumed that the analyses were completed on the total contents of the rain solutes, that is to say on the dissolved compounds and the nanometer-sized solids. A given amount of filtered and acidified rains, snow and hail-melts (generally 1500 to 2000 ml with 15 to 20 ml of highly purified 1.5N HNO3 acid) was transferred into super-clean Teflon© bottles for evaporation to dryness and re-dissolution of the evaporated mass at a known volume. The contents of the major elements were measured by inductively coupled plasma atomic emission spectrometry (ICP-AES) and those of the rare-earth elements were determined by inductively coupled plasma mass spectrometry (ICP-MS). The contents of the other metals were measured either by ICP-MS or ICP-AES, depending on their concentrations. Based on a weakly analysis of the international geo-standards like GL-O and BE-N, the analytical precisions are at a ±3.5% precision level for the concentrations of the major-elements, whereas that of the trace metals is better than ±5% and that of the REEs better than ±10% on the basis of Samuel [17] procedure. The procedural blanks for the analyses were typically below 1%, while the blank solutions were systematically below detection limit. The nanometer-sized solids that could have potentially contaminated the wet precipitations, such as minerals and organics of the local soils and the fly ash released by the coal power plant were also analyzed for their chemical contents and their 87Sr/86Sr ratios. Conversely, due to the large variety of fertilizers available on the marked [18], which obscures any average composition, this component was deliberately not analyzed, as its composition might not correspond to the local/regional situation. Alternatively, the contribution of the fertilizers was evaluated by the P contents of the precipitates, based also on the fact that fertilizers from carbonatites yield higher contents of REE, Sr, Ba and Th than fertilizers from phosphorites that are characterized by higher contents of metals, such as Cd, U and As [18]. As for the rainwaters, the major elements of the potential solid contaminants were analyzed following the same sample preparation and analysis by ICP-AES and/or ICP-MS depending on the contents. As stated, the analytical accuracy of the method was controlled routinely by the weekly analysis of the glauconite (GL-O) and basalt (BE-N) international geo-standards. The REE concentrations of the solids and precipitates were normalized relative to either the contents of the Post-Archean Average Shale [19] or compared among each other. The 87Sr/86Sr ratios of the wet precipitates and of two soil samples, their extracted <2 μm clay fractions and the ash falls were also determined. Approximately 3 to 5 μg of Sr of each liquid and solid sample were separated prior to Sr isotope analysis following a standard ion chromatography procedure on a clean cation-exchange column with double-distilled 2N HCl as the eluent [20]. Total blank Sr was less than 0.5 ng for the entire procedure including filtration, storage and chemical separation. After the column separation, about 1 μg of Sr was loaded onto a Ti filament and analyzed for the 87Sr/86Sr ratio on a multi-collector mass spectrometer. To compensate for any isotope fractionation during the isotope measurements, the measured 87Sr/86Sr ratios were normalized to an 86Sr/88Sr ratio of 0.11940. The external reproducibility of the 87Sr/86Sr ratio was controlled by periodic analysis of the NBS 987 standard that provided a mean ratio of 0.710227 ± 0.000017 (2σ of the mean for n = 70) at the time of the study. The internal precision of the 87Sr/86Sr ratio was close to 10 x 10-6 expressed as 2σ errors. Also to consolidate best the analytical database, the analyses of the soil and fly ash samples were systematically duplicated.

Table 1: Some information about the snow, rain and hail events and the collected precipitate samples.

Sample IDs

Agenda Timing pHs

Comments

Snow1

Snow2

Snow3

Snow4

26 jan. 2004

31 jan.-1 feb. 2004

1 feb.-2 feb. 2004

5 feb. 2004

8:05 AM-9:05 AM

10:40 PM-10:30 AM

3:00 PM-2:30 AM

1:00 PM-11:00 AM

nd

nd

4.55

4.71

Snow storm

same lasting snow storm

Rain1

Rain2

Rain3

Rain4

Rain5

Rain6

Rain7

Rain9

Rain10

Rain11

Rain12

Rain13

Rain14

Rain15

Rain19

Rain25

2 dec. 2003

2 dec. 2003

9 dec. 2003

25 jan. 2004

19 feb. 2004

29 feb. 2004

29 feb. 2004

3 mar. 2004

3 mar. 2004

4 mar. 2004

4 mar. 2004

21 mar. 2004

18 apr. 2004

29 apr. 2004

1 may 2004

18 june 2005

11:00 AM-11:30 AM

4:30 PM-6:30 PM

8:00 AM-8:30 AM

9:30 PM-11:00 PM

11:00 AM-1:00 PM

1:00 PM-2:30 PM

1:30 AM-4:00 AM

10:45 AM-11:15 AM

8:30 AM-11:30 AM

11:30 AM-7:30 PM

4:30 AM-8:30 AM

4.87

4.39

4.51

4.35

4.76

4.92

4.20

2.82

3.26

3.73

3.84

3.95

3.62

4.87

4.99

4.69

After the previous rain

at 10:00 AM-12:00 AM: pH 5.03

1 hour later during the same event

beginning pH at 2.82

1 hour later during the same event

Hail1

2 june 2008 10:00 AM 5.52

Hailstorm

Results

The Chemical Composition of the Solids

The contents of most major elements from soils are significantly different from those of the fly ash (Table 2). Some of these differences can be helpful to distinguish these two major contributors to the precipitates with a Si/Al ratio of the soil samples about 8 times higher than that of the fly ash, a Si/Mg ratio about 21 times higher, a Si/Ca ratio 30 to 50 times higher, a Si/Fe ratio about 9 times higher, and a Si/P ratio 40 to 50 times higher. The comparison of the major elemental contents of the rain1 and rain2 precipitates with the solid particles that passed the 0.4 μm diameter of the filter pores, with those of the elemental contents of the fly ash show about 2 to 12 times more major oxides in the wet solutes than in the fly ash (Table 3). Some precipitates contain up to 10 times more Si than Al, while others yield 4 times more Si than Al or as much Si as Al (Figure 2A). Others remain with the same Si/Al ratio during the whole length of the event (rain6 and rain7, or rain9 and rain10) unless their Si content increases. As for the Si and Al contents, those of Mg and Ca vary in the precipitates (Figure 2B), but the contents may also remain constant during a single event such as for rain6 and rain7, or for rain1 and rain2, while the ratio Na/K can change from a factor 2 during the event rain6 to rain7, to a factor 22 in rain9 to rain10 episode (Figure 2C). Similar significant differences are also visible for the trace elements with, for instance, about 7 times more Sr in the fly ash than in the soils or 43 times more Cu (Table 3). The REE contents of the fly ash are about 4 times higher than in the soils, also with different distribution patterns relative to the PAAS reference: that of the soils is irregularly increasing from La to Lu with a somewhat intermediate flat pattern from Sm to Er (Figure 3A). The REE pattern of the fly ash shows also a somewhat strong up and down centered on a positive Eu anomaly.

Table 2: Major, trace and rare-earth elemental contents of the collected precipitate samples. The contents of the major elements are in μg/g, and those of the trace and rare-earth elements are in pg/g. ∑ stands for the sum of all elements and nd for not determined.

snow1 snow2 snow3 snow4 rain1 rain2 rain3 rain4 rain5 rain6 rain7 rain9 rain10 rain11 rain12 rain13 rain14 rain15 rain19 rain25 hail1

(μg/g)

Si

14.5 20.1 7.5 5.1 19.6 69.8 20.5 2.6 37.2 4.3 29.4 3.6 7.1

1.0

1.7 5.3 9.2 12 6.5 4.6 3.2

Al

11.6 11.9 1.8 4.2 12.8 14.2 2.2 1.2 3.4 1.4

24.3

3.3 3.7 0.4 1.0 1.5 2.2 1.6 1.8 2.5 60.3

Mg

24.7 29.1 11.5 17.2 39.1 53.1 24.9 2.9 110 20.7 11.4 7.3 11.0 0.9 2.2 13.2 11.1 33.4 20.4 33.1 33.2

Ca

315 421 105 264 528 670 337 33.0 179 175 92.7 105 132 11.2 21.1 215 114.4 284 216 1646 427

Fe

8.2 12.5 1.4 1.8 11.5 9.9 0.8 1.2 0.9 0.6 4.4 1.5 1.2 0.3 0.2 0.6 1.4 0.7 4.7 1.7 2.2

Mn

1.4 2.3 0.6 1.3 2.6 6.3 2.8 0.2 3.2 1.1 1.0 1.0 0.8 0.1 0.1 0.9 1.3 3.6 2.0 1.1 2.2

Na

130 177 23.8 157 205 114 60.4 21.7 605 126 36.4 55.5 75.9 1.8 2.6 64.0 41.6 215 39.1 74.9 205

K

24.5 49.1 7.2 18.2 63.2 65.4 125 15.8 402 67.8 32.8 3.0 4.7 5.1 3.4 6.0 6.7 7.8 14.9 25.4 94.6

P

2.2 3.8 0.7 2.0 4.2 3.8 4.5 1.5 6.9 5.6 4.2 2.0 2.0 0.7 1.4 2.9 4.3 4.5 2.4 1.7 1.1

532 727 160 471 887 1007 578 79.9 1339 403 237 182 238 21.5 33.7 909 192 563 308 1791 829

(pg/g)

Sr

1.2 1.7 0.8 1.1 1.8 2.5 1.2 0.1 4.9 0.6 0.6 0.4 1.1 0.1 0.1 0.6 0.5 1.9 0.9 6.8 2.0

Rb

31.3 57.3 10.9 18.8 53.8 102 73.2 17.3 153 35.4 43.3 15.4 18.9 6.3 7.2 30.5 28.4 42.4 22.5 28.2 88.7

Ni

nd nd nd nd nd nd nd nd nd nd 30.0 40.0 45.0 19.0 17.0 50.0 49 67 140 82.0 279

Cu

nd nd nd nd nd 614 nd nd nd nd 170 180 195 88 52 270 410 318 346 1330 6536

Th

1.4 1.1 0.3 0.7 nd 2.9 1.1 0.2 1.5 0.5 1.6 0.4 0.4 0.9 0.1 0.4 0.21 1.12 1.95 0.30 0.40

U

2.5 2.2 0.8 1.3 nd 2.3 0.8 0.2 1.5 0.6 1.9 0.3 0.6 0.1 0.06 0.4 0.42 0.67 1.08 2.46 0.63

(pg/g)

La

9.8 13.7 3.2 5.1 22 110 8 1.7 7.4 3.8 7.0 3.3 3.8 2.3 nd 4.0 3.8 4.6 3.6 2.7 3.0

Ce

15.2 24.0 5.2 7.4 35.7 40.6 14.7 2.0 12.9 6.7 8.7 6.0 6.1 4.0 nd 4.7 7.1 8.6 5.4 1.7 1.9

Pr

1.9 2.9 0.64 0.9 4.8 5.5 1.9 0.2 2.0 0.9 1.0 0.8 0.9 0.4 nd 0.6 0.7 0.9 0.6 0.2 0.3

Nd

7.7 11.8 3.2 5.3 18.5 21.5 7.7 1.0 10.1 4.1 4.3 3.5 3.8 1.7 nd 2.4 3 3.8 2.4 1.0 1.2

Sm

1.7 2.5 0.6 0.8 4.0 4.8 1.7 0.2 1.9 0.8 0.8 0.7 0.7 0.6 nd 0.5 0.7 0.9 0.7 0.2 0.2

Eu

0.7 1.0 0.2 0.4 1.2 0.9 0.5 0.1 1.3 0.3 0.3 0.2 0.3 0.1 nd 0.2 0.2 0.2 0.2 0.1 0.05

Gd

2.0 2.8 0.6 0.9 4.3 4.2 1.8 0.2 1.9 0.9 0.7 0.7 0.8 0.4 nd 0.6 0.8 0.9 0.5 0.3 0.2

Tb

0.3 0.4 0.1 0.1 0.7 0.6 0.3 0.03 0.3 0.1 0.1 0.1 0.1 0.1 nd 0.1 0.1 0.1 0.1 0.03 0.03

Dy

1.3 1.9 0.4 0.6 2.8 3.4 1.2 0.2 1.3 0.6 0.6 0.5 0.6 0.3 nd 0.4 0.6 0.1 0.4 0.2 0.2

Ho

0.3 0.4 0.1 0.1 0.6 0.7 0.2 0.03 0.3 0.1 0.1 0.1 0.1 0.1 nd 0.1 0.1 0.2 0.1 0.04 0.04

Er

0.8 1.12 0.2 0.4 1.5 1.9 0.6 0.1 0.8 0.3 0.4 0.3 0.4 0.2 nd 0.2 0.3 0.5 0.2 0.1 0.1

Tm

0.1 0.2 0.03 0.05 0.2 0.3 0.07 0.01 0.1 0.04 0.05 0.04 0.05 0.02 nd 0.03 0.04 0.06 0.03 0.02 0.02

Yb

0.7 1.0 0.2 0.3 1.3 1.6 0.5 0.07 0.7 0.3 0.3 0.3 0.4 0.2 nd 0.2 0.28 0.4 0.2 0.1 0.2

∑REE

42.5

63.7 14.6 22.3 97.5 196 108 5.81 40.9 18.9 24.2 16.5 18.0

10.2

nd

13.8

17.7

21.9

14.1

6.7

7.4

Table 3: 87Sr/86Sr ratios of 5 rainwater samples with some information about the collection day, the timing of the rain event and their pH values.

Sample IDs

SiO2 Al2O3 MgO CaO Fe2O3 Mn3O4 TiO2 Na2O K2O P2O5 LoI

Total

Soil 1

61.4 9.27 1.52 2.90 3.00 0.08 0.58 0.92 2.39 0.24 17.71 100.0
Soil 1 Duplicate 64.4 10.1 1.76 3.31 3.32 0.09 0.63 0.97 2.51 0.28 11.75

99.12

Soil 2

65.4 9.73 1.44 4.62 3.13 0.07 0.67 1.10 2.48 0.17 11.37 98.73
Soil 2 Duplicate 65.5 10,0 1.48 4.70 3.25 0.07 0.69 0.92 2.46 0.18 9.44

98.73

Fly ash

17,0 20.5 8.53 37.3 6.35 0.03 1.41 2.64 0.35 2.44 3.79 100.3
Fly ash duplicate 17,0 20.8 9.08 37.1 5.99 0.03 1.41 2.32 0.36 2.53 2.21

98.82

 

Sample IDs Sr Cu Ni Rb Th U
Soil 1 266 bdl 66 81.8 8.86 2.53
soil 1 duplicate 286 16.0 30 nd nd nd
soil 2 140 17.0 73 nd nd nd
soil2 duplicate 141 20.0 42 69.7 9.71 2.85
fly ash 7420 360 144 13.9 34.8 17.4
fly ash duplicate 6670 422 129 nd nd nd

 

Sample IDs La

 

Ce

 

Pr

 

Nd

 

Sm

 

Eu

 

Gd

 

Tb

 

Dy

 

Ho

 

Er

 

Tm

 

Yb

 

Lu

 

Total
Soil 1 28.1 56.8 6.74 25.0 4.98 1.00 4.09 0.68 3.95 0,90 2.41 0.40 2.56 0.39 138.0
Soil 2 31.3 63.2 7.54 27.7 5.40 1.00 4.38 0.71 4.09 0,93 2.55 0.42 2.72 0.42 156.2
Fly ash 117 198 29.2 114 22.7 6.62 19.7 2.96 16.3 3,57 8.96 1.34 8.25 1.17 549.8

 

sample IDs 87Sr/86Sr (±2σ)
soil 1

soil <2 μm

fly ash

0.708607

0.708890

0.712912

11 (10-6)

46 (10-6)

14 (10-6)

 

Ratios Soil 1 Soil 2 Fly ash
 

SiO2/Al2O3

SiO2/MgO

SiO2/CaO

SiO2/Fe2O3

Na2O/K2O

SiO2/P2O5

Sr/Ca (10-3)

Rb/K (10-3)

U/Th

 

6.62

40.4

21.2

20.5

0.38

256

92.0

34.0

0.29

 

6.72

45.4

14.2

20.9

0.44

385

31.0

28.0

0.29

 

0.83

1.99

0.46

2.68

7.54

6.97

199

40.0

0.50

nd stands for not determined.

fig 2

Figure 2: (A) Si contents of the rain solutes relative to the corresponding Al contents; (B) Mg contents in the rain solutes relative to Ca contents; (C) K contents in the rain solutes relative to Na contents.

fig 3

Figure 3: (A) Rare-earth elemental distribution in the soil samples relative to that in the PAAS reference with the 2σ uncertainty; (B) REE distribution in the fly ash of the power plant relative to that in the PAAS reference; (C) REE distribution in the fly ash of the power plant relative to that in the local soils.

The pH Values of the Wet Precipitations

Systematically below 5.0 except for the hail1 precipitates, the pH was as low as 2.82 in rain9 (Table 1). Such low values are commonly attributed to industrial effects, primarily to sulfuring acid production from coal-burning sulfur dioxide production [21]. Significant SO4 concentrations represent a complementary lowering impact on pH values of rainwaters (e.g., [22], but as the anion concentrations in the solutes were not investigated in the present study, this aspect will not be discussed further hereunder. According to a regional correlation between rainwater pHs and the corresponding implemented type of the wet precipitations by [23], the pHs obtained here suggest that 90% of the precipitations are within the “acid rains” category from beginning of the 2000 decade.

The Major Elemental Contents of the Wet Precipitate Solutes

In the Snow Crystals

The contents of the major elements range from 160 to 726 μg/g in the four snow solutes (Table 2). Two samples (snow2 and snow3) were collected successively during the same event with progressively decreasing contents of all major elements. Most elements are also correlated: Si with Al, Na with K and Mg, and Fe with Ca. The fact that P decreases significantly during the progress of the snowfall suggests that some major elements could have originated from fertilizers. The two other snow solutes yield major elemental contents that are systematically between those of snow2 and snow3, often with lower contents of the correlative Si, Al, Fe, Na and K elements. Only Na yields higher contents relative to P for the snow1 and snow4 samples, suggesting a complementary contamination. Sample snow3 yields also the highest Mg/Ca and Sr/Ca ratios, probably resulting from a pronounced decrease in Ca, and the lowest K/Rb ratio due to an even more pronounced decrease in K.

In the Rainwaters

The total contents of the major elements are extremely variable in the rain precipitates: from as low as 21.5 μg/g to as high as 1339 μg/g. In fact, from sixteen analyzed solutes eight yield less than 400 μg/g of solute loads and only three yield more than 1000 μg/g. Most of them contain limited amounts of major elements: less than 2.5 μg/g Al, 5 μg/g Si, 10 μg/g Mg, 2 μg/g Fe, more than 20 μg/g Na and K, and often more than 250 μg/g Ca. This high Ca content is not surprising in a vast region characterized by outcropping Paleozoic carbonate-rich sediments and amended by fertilizers that could be of carbonated type. When two samples were collected during the same rain episode, the Si and Al contents increase systematically when the event lasted, significantly from rain1 to rain2 and from rain6 to rain7 solutes, much less from rain9 to rain10 and from rain11 to rain12 (Figure 2A). Alternatively, the Ca and Mg contents are not significantly modified during the same rain event (Figure 2B), whereas the Na content decreases significantly at least in two cases (Figure 2C). In fact, the decrease of the K and Na contents, together with P, ends close to the intersection of the two coordinates of the diagram in which the correlative contents of both elements are plotted (Figures 4A and 4B). This implies a positive relationship between these three elements, as well as between K and Na when P is absent. In turn, the correlations between P and Na, and P and K suggest that the supplies of Na and K do not originate from a single donor, because the correlation is either driven by high or by low Na and K contents. The correlations between Si and Al, Mg and Ca, and Ca and Fe are similar, as 5 ng/g of Si are detected in the solutes when Al is lacking, Ca of 60 ng/g when Fe is lacking, and Mg of 6 ng/g when Ca is lacking. In the case of the Ca vs. Mg correlation, it looks like there is only one supplier for both, except for the rain5 and rain25 samples (Figure 4C).

fig 4

Figure 4: (A and B) Correlation diagrams based on P vs. Na and K contents, respectively, in the rain solutes; (C) Correlation diagram of Ca relative to Mg contents in the rain solutes.

In the Hail

The Si contents of the hail1 sample are within those of the rain samples and above those of the snow samples. Their Mg and Ca contents are within those of the rain- and snowfalls. Potassium and Na yield both contents on the high side of the results (Table 2).

The Trace Elemental Contents of the Precipitates

The unexpected contents of trace elements from precipitates are those of Cu. Ranging between 52 and 1330 pg/g, they reach even 6536 pg/g in the hail1 sample. With only one hail analysis it is difficult to give any further thought to this high content, but it suggests a periodic and significant Cu pollution (Table 2). A study [24] showed that superphosphate is the fertilizer that contains the highest concentrations of Cd, Co, Cu and Zn impurities. As a matter of fact, all rain solutes, except two, yield far more than 100 pg/g Cu, especially during spring and can be suspected to have been supplied by fertilizers. The Sr, Th and U contents are generally low in the precipitates (Table 3), between 0.1 and 6.8 pg/g of Sr with two values beyond 5 pg/g. Those of Th vary between 0.9 and 2.9 pg/g with two values above 2 pg/g, while those of U vary from 0.1 to 2.5 pg/g with the high contents in the snow samples. The U/Th ratios vary between 1.8 and 2.7 in the snow samples, while only 5 times (less than one third of the sampling) above 2.0 in the rain solutes. The other trace elements were not determined systematically. However the contents of Zn are also very high: as much as 7472 pg/g in the rain2 and 7268 pg/g in the hail1 samples. Also, six Pb analyses appear quite high between 40 and 510 pg/g, half being below 60 and half above 150 pg/g. For Zn and Pb, a contamination by fertilizers can also be suspected on the basis of Gimeno-Garcia et al. study [24].

The Distribution Patterns of the Rare-Earth Elements from Precipitates

The REE contents of the precipitates were normalized relative to those of the Post-Archean Australian Shales [25] that are often used as a reference for materials from Earth-surface environments. This kind of comparison with the PAAS is visually accurate: those of the PAAS reference yield a higher, however flat distribution relative to the precipitates analyzed here with a fractionation of any of the REEs subsequently detected easily. The REE distribution patterns of the wet solutes were also compared to those of the soil particles and of the fly ash. The reason is that if rain solutes carry soil particles and/or fly ash from power plant, the normalization should theoretically also provide flat distribution patterns. Relative to the PAAS pattern, those of the two soil samples are increasing irregularly from La to Lu (Table 2 and Figure 3A). In a similar pattern, the fly ash outlines a significant positive Eu anomaly with progressively increasing light REEs (LREEs) and decreasing heavy REEs (HREEs; Table 2 and Figure 3B). Relative to that of the PAAS reference, the REE distribution patterns of the 4 snow samples display a flat pattern with a marked positive Eu anomaly. Also, a slight but not significant negative Ce anomaly is visible in some of the samples (Figure 5). In the case of the rain samples, the REE distribution patterns organize into three groups and some individual patterns, relative to the PAAS reference. Those of the rain3, rain6 and rain9 samples are similar to those of the three snow samples with a marked positive Eu anomaly, a slight but not significant Ce anomaly and a Gd content slightly higher than that of Sm, which somehow distorts the pattern (Figure 5). The second group consisting of the rain4, rain7 and rain13 samples is similar to the previous one with a supplementary specific marked positive La anomaly (Figure 5). The next group assembles the rain11, rain14, rain15 and rain19 samples with a similar distribution than those of the samples from previous group and the Gd or Sm contents closer to that of Eu, which gives a rounded top to the positive anomaly (Figure 5). Also the positive La anomaly even if not large is easily detectable. This pattern is very similar to that of sample rain1, whereas those of rain2 and of hail1 are very different: none yields a Eu anomaly but they include a significant positive La anomaly (Figure 5). Sample rain5 has a very straight pattern for most REEs except for the Eu anomaly. The two last rain10 and rain25 samples yield patterns with some unexpected data: the abnormally low Eu content in rain25 gives a unique pattern. The rain10 pattern is distorted by a very high Eu content, a significant negative Ce anomaly and an abnormally high Tb content, which all suggest analytical aspects. Therefore, this last sequence of patterns will not be discussed further hereunder.

GEMS 2021-311-Fig5-PNG

Figure 5: Some characteristic rare-earth elemental distribution patterns of rain solutes relative to the PAAS reference.

The 87Sr/86Sr Ratios of the Rainwaters

Five rainwater samples were analyzed for their 87Sr/86Sr ratios (Table 4). The ratios range quite widely from 0.708599 ± 0.000004 (2σ) for rain7 to 0.710278 ± 0.000005 (2σ) for rain12. It has been shown that rainwaters of successive local events can display quite large ranges of 87Sr/86Sr ratios [26] and that they may vary away from 87Sr/86Sr ratio of nearby marine waters, as is the case for those analyzed over the French territory that borders an ocean to the W and a large sea to the S [27]. Also, 87Sr/86Sr ratios of rainwaters do not necessarily remain constant during a single event [28] with values again away from nearby marine sources. Therefore, it looks like the original marine sea-spray can be discarded as a contributing component of the Kansas precipitates. The results suggest rather a changing 87Sr/86Sr ratio with a tendency to increase when the events last, such as in the case of the rain10 and rain12 samples (Figure 6). Conversely, the 87Sr/86Sr ratios of the land soil (soil 1) and of its <2 μm size fraction are quite constant at 0.708607 ± 0.000011 (2σ) and 0.708890 ± 0.000046 (2σ), respectively. This suggests that the soil supplies to the wet precipitations mostly consists of constant <2 μm sized minerals. As these values are also within those of the rainwaters, most of the soil supply being probably of carbonate origin, unless the supply of fertilizers of carbonated origin predominate. The same ratio of the fly ash is significantly higher at 0.712912 ± 0.000014 (2σ), which is clearly outside the rainwater values, and therefore not a determining argument for an identification of the major contributor to the local precipitates.

Table 4: Table combining the pertinent information on the contaminants, the determining elemental contents and ratios.

 Sample IDs Dates Timing pHs

87Sr /86Sr (±2σ in 10-6)

Rain7

29 feb. 2004 1:00 PM-2:30 PM 4.20 0.708599 (3.7)
Rain9 3 mar. 2004 1:30 AM-4:00 AM 2.82

0.708341 (4.9)

Rain10

3 mar. 2004 10:45 AM-11:15 AM 3.26 0.709167 (4.3)
Rain11 4 mar. 2004 8:30 AM-11:30 AM  3.73

0.710278 (5.0)

Rain12

4 mar. 2004 11:30AM-7:30 PM 3.84

0.709529 (4.7)

fig 6

Figure 6: Evolution of the 87Sr/86Sr ratio and the rare-earth elemental distribution in rain solutes relative to the duration of a long-lasting event.

Discussion

The relatively monotonous geological and environmental context of the State of Kansas makes that three major contaminants can be suspected to pollute the precipitates collected and analyzed here. These consist of soil particles, fly ash of the power plant and fertilizers spread periodically by the farmers to which plant organics issued from regional tall grass covering most of the Flint Hills may be added and possibly other long-distance materials transported by the winds. Considered are also the chemical components adsorbed on the potentially polluting nanometer-sized soil particles, especially on clays but also soluble carbonate crystals. In fact, while the chemical compositions of the soil particles and the fly ash were detailed, those of the fertilizers and the plant organics were only evaluated on the basis of the P contents and the P/Na, P/K and K/Rb ratios of the precipitates for reasons invoked above. If the collected wet precipitates would be polluted only by fly ash, their REE patterns should be rigorously flat. As this is not the case, it can be stated that the rain solutes incorporated several components at any time during the precipitation event and often not with the fly ash as the predominant contributor. In the detail, two waters yield a positive anomaly of either Eu in rain5, or of La in the rain2, snow2 and hail1, while rain25 yields both. Positive anomalies of La, Ce and Eu were observed in rain7, rain13, rain14, rain15 and rain19, and snow1, in fact in most studied samples.

The Major Elements of the Rain Solutes

Among the major elements dissolved or dispersed in the wet precipitates, three of the obtained correlations are especially informative: Si vs. Al, Mg vs. Ca and K vs. Na. Various correlations were obtained for the first pair with a coefficient of about 1 during the rain6-rain7 event during which both elements increase simultaneously (Figure 2). Alternatively, Si increased much more than Al in the rain1-rain2 episode with a ratio between 1/1 and 3/1. The final correlation for these two elements is at a ratio of 10/1 in favor of Si. In fact, these correlations point towards a contamination of the local outcropping rock minerals: the 10/1 ratio in favor of Si suggests a quartz contribution, whereas the ratio of 3/1 suggests an occurrence of clay-type particles. On the other hand, the ratio of 1/1 in the precipitates is similar to that of the fly ash with a significant contribution in the sample rain7. Of interest is also the changing Si/Al ratio of the rain1-rain2 event that suggests a change in the pollutants during the same episode. Calcium is positively correlated with Mg in all analyzed precipitates (Figure 4C). Its contents are about 10 to 15 times higher than those of Mg, except for one sample in which its content is up to 50 times that of Mg. As a marine origin of the rain solutes can be discarded, Ca of the wet precipitates derives probably also from regional rock outcrops that are mainly of carbonate composition. The Na vs. K correlation is also systematically positive, with the rain9, rain10, rain11, rain12, rain13, rain14 and rain15 sequence of low contents of K and increasing Na contents. In most of the other precipitates, the content of Na is 1.5 to 3.5 times that of K. Rain5 yields an abnormally high K content with a decrease of either Na in the rain1-rain2 episode, or of both Na and K in that of rain6-rain7, when the event lasts. The high alkali contents, especially that of Na, result most probably from a contribution of dissolved chlorides or sulfates to the solutes. The contents of P in the three types of precipitates, snow, water and hail can certainly be considered as representative of a fertilizer supply, supported in turn by the high contents in Cu, Zn and Pb. In fact, the contents of P are generally low and quite constant in all precipitates (Table 2), ranging from 0.7 to 3.8 μg/g in the snow samples, from 0.7 to 6.9 μg/g in the rain samples, at 1.1 μg/g in the hail sample. In fact, if fertilizers contaminated significantly the wet precipitations, their contribution was limited to those with the high P contents, probably beyond 4.5-5.0 μg/g, that is to say only in a few rain precipitates such as rain3, rain5, rain6 and rain15.

The Trace Elements in the Rain Solutes

Due to their high contents, some trace elements such as Cu and Ni suggest a predominant contamination by fly ash and fertilizers. Indeed, Cu and Ni occur in extremely high concentrations up to 1330 and 140 pg/g in the rain19 for both and in the hail1 for Ni. It could also be the case in the rain solutes with contents arbitrarily set beyond 200 pg/g, that is to say in the rain2, rain13, rain14, rain15 and rain19. High Cu concentrations in atmospheric concentrates of Ireland were, for instance, related to local mining and smelting activities [29]. These trace-elemental concentrates set a further frame for the recurrent contamination of regional precipitates.

The Signatures of the Rare-Earth Elements

The negative Ce anomaly is very typical for components that originated in marine environments due to oxidation conditions, whereas the positive Eu anomaly characterizes usually an impact of feldspar-derived materials, especially of plagioclases, in the mineral world [30,31]. However, it can also result from a diagenetic impact on clay-rich sediments [32]. As a marine supply has not yet been demonstrated on the basis of other data, the reason for the negative Ce remains to be explained. For the Eu anomaly, the presence of nanometer-sized feldspar crystals in the rain solutes can also not be denied, as well as a diagenetic impact in regionally occurring shally sediments. However, the possibility of other soluble contributions to the solutes could be more appropriate. The combined REE patterns of the main potential contributors to the rain solutes, that is to say the soil and fly-ash particles, are quite similar with a negative Ce and a positive Eu anomaly combined with a regular decrease from Gd to Lu (Figure 3C). Suzuki [33] noticed also a Tb positive anomaly with that in Eu in the airborne particulate matter from the Tokyo region, which is not visible here in any of the collected sample. As no determining differences could be evidenced among the distributions, the REE patterns of the precipitates were also compared with those of the soil particles and the fly ash. Among this quite voluminous database, the diagrams of one snow, two rainwaters and the hail were selected to provide more information about the REE patterns of each type of these precipitates (Figure 7). The two diagrams of snow2 are significantly different: that relative to the soil pattern is characterized by a positive Eu anomaly with an almost flat background for most other REEs. This background is at a precipitation/soil ratio of about 0.2. In the case of the diagram comparing the REE contents of the snow with those of the fly ash, the distribution is more irregular with again a high positive Eu anomaly, but also with a zigzagging increase from light to heavy REEs. The background of the lowest contents remains also quite stable at 0.10 to 0.12 for the comparison with the PAAS. Conversely, the two diagrams of rain5 are somehow similar with a visible positive Eu anomaly, together with increasing LREEs and decreasing HREEs. The differences are in the height of the Eu anomaly of about 1.0 in the case of the rainwater-to-soil comparison and of about 0.1 in that of the rainwater-to-ash comparison. The second difference is in the level of the flat backgrounds of the patterns, which yields an average of 0.3 for the comparison between rain and soil and of 0.8 for the comparison between rain and ash. The rain2 sample yields a different pattern: flat with no Eu anomaly but with a high La anomaly. This abnormally high La content in a few samples raises an analytical problem that relates to the non-correction for Sb-oxide in the analyses by an ICP-MS equipment like is the case here and, in turn, needs to be kept in mind. Therefore, the overall ratio between the rain and the soil as contributor is of 1, while only of 0.2 when ash is the contributor. For the hail, the two patterns relative to the soil and the ash are similar: flat with a significant positive La anomaly and a positive Lu anomaly for the comparison with the soil. As for all other diagrams, the ratios among the solutes and the contributors are up to four times higher than with the ash by comparison with the soil: at 0.04 and 0.01, respectively. No straight interpretation being obvious on the basis of these diagrams, they need to be combined with other parameters such as the metal contents, the timing and duration of the precipitations and the 87Sr/86Sr ratios to sort out the combining contaminants. The metal contents are especially high in the rain2, rain13, rain14, rain15, and rain19 and in the hail1 that were collected the 2nd of December, the 21st of March, the 18th of April, the 29th of April, the 1st of May and the 2nd of June, respectively. In summary, most of the precipitates were collected during springtime when farmers spray fertilizers on their fields. Also, soil material did probably contribute less to the solutes in wintertime when the ground is frozen, while the nearby power plant is at its highest activity.

fig 7

Figure 7: Rare-earth elemental distribution in the rain solutes relative to the soil samples in the left-side column and to the fly ash in the right-side column.

The 87Sr/86Sr Ratios of the Rain Solutes

The long rain event from 29th of February 2004 to the 4th of March 2004 provides an appropriate basis for the interpretation of the 87Sr/86Sr ratio of rain solutes (Figure 6). At the start of the event, the 87Sr/86Sr ratio was of 0.708599 ± 0.000004 (2σ), decreasing slightly to 0.708341 ± 0.000005 about 35 hours later, increasing again to 0.709167 ± 0.000004 about another 10 hours later, continuing to increase at 0.710278 ± 0.000005 about 21 hours later, and ending at a lower 0.709529 ± 0.000005 right after. To be compared to these values are those of the bulk soil at 0.708607 ± 0.000011, of its clay fraction at 0.708890 ± 0.000046, and of the ash fly at 0.712912 ± 0.000014. The bulk rock having the 87Sr/86Sr ratio of the initially collected rainwater, it was apparently the main or even the sole solid contributor, while ash was progressively added after 35h of rain to reach a maximum supply after about 50h of rain, decreasing afterwards. During this long event, the combined 87Sr/86Sr ratios of the solutes and of the potential contributors show that soil minerals contributed most at the beginning of the rain. Later, this natural supply was replaced progressively by released ash until the end of the rain.

The K/Rb Ratio of the Precipitations as the Potential Contribution of Natural Organics

Before Chaudhuri et al.‘s [34] study, plant-sourced K was not considered as a major contributor in the published models picturing the sources of K in global river [35-37]. This alternative model took into consideration the role of the land plants on the basis of the K/Rb ratio of all potential contributors. The authors estimated also the amount of K supplied by the vegetables to range between 46 and 68% of the total K contribution to the global river budget, which is significantly more than the 19 to 43% contribution by taking only the weathering of silicate-type rock material into account. On the basis of Chaudhuri et al. [34] calculations, the K/Rb ratio of silicate minerals ranges from 50 to 650, that of plants from 800 to 4,270 and that of fertilizers from 2,700 to 65,000. Here, this ratio is at 786 for the fly ash, at 356 for the soils and between 184 and 2633 for the precipitates. Considering all solutes with K/Rb ratios significantly above the K/Rb ratios attributed to the silicate minerals and the ash, a value of 800 can be viewed as critical to differentiate an organic from a mineral supply. Above 800, the K/Rb ratio of the solutes is then suggesting a contribution of natural plants, while the main contamination becomes as either natural by the silicates from soils or industrial by the rejections from power plant with a value below 800. However, because of the extremely high K/Rb ratios in fertilizers, their contribution cannot be excluded either. In summary, all rain solutes with K/Rb ratios above 800 that is to say in snow2 and snow4, as well as in rain1, rain3, rain4, rain5, rain6, rain25 and hail1, could have been potentially polluted by plant organics, which is reasonable for a collection site in the Flint Hill area that is extensively covered by tall grass and with winds oriented North to South.

How Can Natural Contaminants Differentiated from Anthropogenic Releases

The available chemical information does not allow here a quantification of the different supplies, or even a distinction between natural and anthropogenic contamination of the precipitates. In turn, the results need to support an identification of: (1) those elements characterizing the soil materials or the ash particles; (2) the abnormal elemental contents in the solutes; (3) the potential contributions of the organics from soil plants; and (4) the relative impact of the rainfall timing in a seasonal calendar. If one sets the limit between “high” and “low” contents of the major elements from different precipitates at 500 μg/g, two snow samples are on the high side (snow1 and snow2) and two are on the low side (snow3 and snow4). Among the rainwaters, nine (rain4, rain6, rain7, rain9, rain10, rain11, rain12, rain14 and rain19) are on the low side with seven even at the very low side of <250 μg/g, the total amount of major elements in hail1 being on the high side. As the SiO2/Al2O3 ratio of the soil particles at 6.7 is about 8 times higher than that of the fly ash at 0.8, wet precipitates with ratios of about 10 (Figure 2A) can then be considered to be potentially loaded with soil materials (snow3, snow5), whereas those with a ratio of 6 to 7 may be contaminated by fly ash (rain4, rain15). The precipitates with Si/Al ratios at about 1 cannot yet be classified on the basis of these criteria. The Si/Ca ratio can also be of use as it differentiates soil particles of either carbonate or silicate origin. It amounts here from 14 to 21 in the soil samples, whereas only about 0.5 in the ash. In fact, this ratio is far smaller, between 0.03 and 0.1, in the precipitates which means that there is much more Ca in the atmospheric solutes than in natural silicate and/or ash supplies. Another supplier could then be the carbonate outcrops and not the alluvial soils in and close to the study area, unless the overall mass of the locally used fertilizers is carbonated. In fact, the limestones often build low shelters in the landscape and it is then possible that the rainwaters with very low Si/Ca ratios originated outside the area of the Flint Hills. If one sets the limit of local Ca contribution at 100 μg/g in the precipitates, most of it originated clearly outside the mainly carbonated Flint Hills, which points towards the fertilizers. Another selective ratio for comparing here the potential supplies of natural soil materials and fly ash to the rain solutes combines Na and K. This ratio distinguishes the feldspars from clay materials in the geologic materials and soluble salts from solid silicates. Here the Na/K ratio is at about 0.5 for the soil components and at about 7.5 in the ash. Only the rain3, rain11 and rain12 samples yield a lower Na/K ratio. On the other hand, the snow4 and the rain14 yield Na/K ratios far higher at about 7. The P contents of the soil particles with a Si/P ratio of about 320 are even lower in the ash at about 7, while ranging from 3.5 to 10 in the snow, rain and hail samples, which suggests in turn an ash contribution in most precipitates. On the basis of significantly different K/Rb ratios for soil and ash materials, it can reasonably be considered that another contaminating component might yield K/Rb ratios above a value set at 800. As discussed earlier, such high ratios were identified in plant organics at the Earth surface and in global rivers [31]. However, it might also be remembered that fertilizers can yield very high K/Rb ratios depending on their composition [22]. The pollution of the atmospheric precipitates by either natural or industrial supplies can also be traced by their metal contents. Due to their very different contents in soil and ash particles, Cu and Ni, for instance, support an industrial pollution by the fly ash in the present case. For instance, contents arbitrarily set beyond 200 pg/g that is to say for those in rain2, rain13, rain14 and rain15 can also relate to a contamination by fertilizers. The differences in the REE contribution to the rain solutes are more in the contents than in the distribution patterns. Indeed, the most characteristic positive anomalies in La and Eu were observed in comparing the REE patterns of the rain solutes and of the potential contributors. The ratios are of 0.04 instead 0.01 when compared to the soils than to the ashes. Therefore, depending if the base line of the REE distribution patterns is lowest or highest, the major contributor can be expected to be either ash or soil materials. In summary, the potential contributions can be identified on the basis of the combined major- and metallic elemental supplies, the K/Rb ratios and the base lines of the REE patterns. Their overall combination does not allow a strict but a reasonable selection (Table 5). In the detail and on the basis of the parameters evaluated here, the compilation of the four potential contributors suggests that the precipitates carried: (1) mostly or even only ash particles in the rain11 and rain12, (2) soil components and fertilizers in the snow1, rain2, rain9 and rain10, (3) soil components and plant organics in the snow2, snow4, rain1, rain3, rain4 and rain6, (4) soil and ash components in the rain7, (5) ash and fertilizers in the snow3 and the rain14, (6) soil components, ash and fertilizers in the rain13, rain15 and rain19, and (7) ash, plant organics and fertilizers in the rain25 and the hail1. Fly ash probably occurred in five groups of precipitates, soil particles and fertilizers in four groups and plant organics in two groups. The occurrence of soil particles in the rain solutes is monitored by the contents of the major elements, the ratios K/Rb above 250 and the REE patterns. The occurrence of the ash is mainly shown by the major and metal contents and by the REE patterns. Supply of fertilizers is related to the high Ca contents (>100 mg/L), which in turn points towards fertilizers of carbonate origin, and that of organics to the high K/Rb ratios (>800).

Table 5: Distribution of the contaminant supplies as soil particles, fly ash, fertilizers and plant organics in the wet precipitates depending on elemental contents, ratios and patterns.

 Type of supply

 

Soil particles

 

Fly ash

 

Fertilizers

 

Plant organics

 

Major elements

rw3, rw5 rw4, rw7, rw15
Metal elements

rw2, rw13, rw14, rw15

Ca content (>100mg/L)

sn1, sn3, rw2, rw5,

rw9, rw10, rw13, rw14, rw15, rw19,

rw25, hail1

K/Rb ratio (>800)

sn2, sn4, rw1, rw3, rw4

rw5, rw6, rw25, hail1

K/Rb ratio (<250)

rw9, rw10, rw13, tw14, rw15
REE patterns

sn1, sn2, sn4, rw1, rw2

rw3, rw5, rw6, rw7, rw9,

rw10, rw13, rw15, rw19

Collection time

Winter Winter, spring, summer

Winter, spring, summer

The timing of the precipitations might be another potential aspect for differentiating the nature of the contaminants. Here, most precipitates were collected during winter (the four snow samples and the rain1 to rain13 samples), which weakens a seasonal comparison as only rain25 was collected in summer. The dominant soil supply detected mostly in the snow and the rain samples during winter appears somewhat surprising, as snow precipitates occur basically when the ground is frozen and, therefore, when the soil particles are not very sensitive to wind actions, while the soil contribution seems to be quite permanent here on the basis of the above evaluated parameters. In other words, either the parameters for identification of the soil particles in the atmospheric solutes are not accurate enough, or the soil materials are from beyond the local scale. Fly ash has also been detected in the precipitates of three seasons (winter, spring and summer), which is plausible because the power plant is located near the sample-collection place, and because it is probably in activity all year around as it produces electricity. Normally spread during springtime, fertilizers are also expected in precipitates until summertime. An estimate of the changing contamination during the same precipitation event was also addressed by comparing the contents of successively collected samples from long-lasting event. The snow2-snow3 succession highlights an initial combination of soil particles and organics that are replaced by fertilizers mixed with ash. In the case of the successive rain1 and rain2 precipitations, the organics detected in the starting rain decrease, replaced by fertilizers with soil particles. During the long rain event that was already examined for the changing 87Sr/86Sr signature of the solutes (Figure 6), collection of six successive precipitates (rain6, rain7, rain9, rain10, rain11, rain12) points towards a variable contamination that started with soil particles mixed with plant organics, continuing with a replacement of the organics by fertilizers mixed with soil particles until rain10, while ash dominates the other supplies of the solutes during the final stage. Beyond the fact that soil particles appear as the most common contaminant in this example, it shall be mentioned that the rain events started often with organics in the solutes, probably the easiest accessible to winds.

Conclusion

The present study focuses on variations of major and metallic elements, and on REE distributions that were combined with Sr isotope compositions of various atmospheric precipitations (rain, snow and hail) from northeastern Kansas. This approach does not allow a quantification of the different contaminants in precipitation solutes, but it allows a clear distinction between the contributing contaminants, which highlights another approach for the rain pollution than the more basic anionic method. In the detail, the Ca contents of the wet precipitates are positively correlated with those of Mg, as well as the Na contents with those of K. The correlation between P and Na or K allows a distinction between a fertilizer and an organic contamination. Combining soil particles, fly ash, fertilizers and plant organics as the four major contributors describes changing supplies during the lasting precipitation events. The duration is also an impacting aspect for the variable contribution of the contaminants. An extended rain event provides a descriptive variation of the 87Sr/86Sr ratio of the solutes due to the evolving mixture of the contributors, which is confirmed by the changing distribution patterns of the REEs. Combining the elemental contents and the 87Sr/86Sr ratios of precipitates, as tried here, does not provide straight answers about the respective amounts of the contributing contaminants, because some contributing components yield similar chemical data. However, the approach explored here shows that the soil minerals and natural organics appear to contribute quite systematically, and mostly at the beginning of the precipitation events for the former. When the rain events last, this initial soil supply is replaced by the industrial fly ash from nearby power plant that becomes progressively dominant towards the end of the rain events depending on the duration.

Acknowledgement

We thank the Department of Geology of Kansas State University for having made available the necessary material for the collection of the precipitates. The analyses were made at the Centre de Géochimie de la Surface of the University Louis Pasteur at Strasbourg, France. Our sincere thanks are for the technicians of these places for their help. This study was not specifically funded.

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