Monthly Archives: January 2022

Rate of Patient’s Recruitment and Recruitment Derivatives and External Factors – Population, Living Area and Density of Living Area

DOI: 10.31038/JCRM.2021432

Abstract

Absence of recruitment in clinical trials reached 80% which lead to failures of clinical trials and needed drug do not reach the patients. To find out the reasons of failures in recruitment the authors is considering many factors. A factors which are decreasing the recruitment is very diverse and there is no the classification of it. We suggested the simple classification and investigated the rate of recruitment in the light of some factors using parameters reflecting the recruitment progress on the site’s level.

Materials and methods: Data of four clinical trials II-III phases in oncology and hematology, conducted since 2007 to 2017 years has been used for retrospective analysis.

Study objectives: To investigate the study recruitment rate using different parameters and it’s changes along with acting of factors; to develop new parameters and values (derivatives) which could be sensitive for evaluation of factor’s action.

Statistical analysis: Data had been collected from feasibility questionnaires, open statistical sources.

Results: It was determined rate of recruitment and it’s derivatives where was acting internal factors.

Discussion: Recruitment been undergone the internal factors. The way of action is multidirectional and could boost the recruitment and in opposite to decrease one and knowing it is important in success of recruitment and clinical trial itself eventually.

Introduction

Chin Feman P. – [1] found that factors influencing to recruitment is quite diverse and difficult to estimate due to highly variable. It is found more than 30 factors influencing to recruitment and much of them can ruin the trials due to fail of recruitment (D. Fogel, 2018). The possibility to predict the recruitment based on the acting of factors is said by M. Rutger at al., (2017) and they also found more than 30 factors acting differently to recruitment. These authors used the feasibility questionnaire to collect the data. There is no universal classification of the factors and authors as a rule being limited by just the listing of the factors. To estimate the way of factors action’s the authors using figures of recruitment at least at the start of the study (M. Kabby, 2011) and at the end of the study. The comprehensively spread ratio is the ratio of parameters to evaluate the involvement of gender and some social groups and much known is enrollment fraction [2-6]  that is the number of enrollees divided by the number of potential subjects to determine age, sex and race of patients involved to studies.

Methods and Materials

We investigated data observed by 70 clinical centers participating in II – III phases trials in oncology and hematology in three countries – Russia, Ukraine and Belorussia for the period from July 01, 2008 to December 31, 2017 in order to determine the factors which is influencing to recruitment, to determine the parameters and values which is changing under influence of this factors. The collection of data was done out from questionnaires at the stage of searching for centers, from the results obtained at the end of the research, from open statistical sources.

We also took our classification of sites based on recruitment and speed of recruitment

– Silence sites – rate of recruitment – 0 patients per month;

– Low-recruiting – rate of recruitment by 0,01 to 0,19 patients per months;

– Middle-recruiting – by 0,20 to 0,89 per months;

– High-recruiting – by 0,90 to 3 patients per months.

The amount of involved cities, involved sites and protocol required patients are presented in Table 1.

Table 1: Etymology of studies, amount of cities where centers opened, amount of centers opened, number of patients to be involved according to protocol.

Nosology The number of cities in which centers were opened Number of clinical centers

Study power – required number of patients (N)

1 2

3

4

5

1 Lung cancer

25

27

450

2 Colorectal cancer

19

19

340

3 Idiopathic purpura

15

15

69

4 Head and neck cancer

9

9

982

Total

68

70

1841

We divided the factors associated to recruitmet according to attitude to participatnts human being (investigators and patients) and have got external and internal factors presented in Tables 2 and 3.

Table 2: Internal factors.

Internal factors

1 2
1. Disease (of protocol)
2. Experience of investigators
3. Planned (proposed) patients in stage of feasibility

Table 3: External Factors.

External factors

1 2
1. Country
2. City (infrastructure)
3. Population
4. Living area
5. Density of living area (one factor like for item 4)
6. Income
7. Morbidity (new cases per year)

Parameters we took to investigate the undergone of recruitment is following:

    1. Type of site (based on final recruitment)

. is high recruited site. Appointed range 4

. middle recruited sites. Appointed range 3

. law recruited sites. Appointed range 2

. non-recruited sites (silence sites). Appointed range 1.

    1. Time from first contact of site to first reply
    2. Duration of recruitment in days
    3. Speed of recruitment
    4. Target recruitment (proposed or planned by investigator in the beginning of the study)
    5. Target speed of recruitment
    6. Percentage of performance of target recruitment
    7. Expirience of investigator

RATIO of parameters like

  1. Target recruitment to study population (maximum figure of patients to be recruited by the protocol)
  2. Time of first reply to target recruitment
  3. 1 to time of reply
  4. 1 to target recruitment
  5. Ratio of 1 to time of reply to ratio 1 to target recruitment

Statistical Analysis

Following done:

  • Calcuation of mean and error, moda and mediana for choosen parameteres (more than 1960),
  • Dispersion analysis
  • Pirson and Sperman correlation
  • Calculation of Student t-criterium

Results

We studied studies that were conducted in cities with different populations. We have divided them into 3 categories – 1) less than 1 million residents; 2) from 1 million to 2 million and 3) more than 2 million residents. The distribution is shown in Table 4.

Table 4: Dependence of the efficiency of patient recruitment on the number of residents.

Number of city residents

Enrollment effectivity of sites involved in the study (in %)
Silent sites Low-recruiting sites Middle-recruiting sites High-recruiting sites

Total

1

2

3 4 5

6

< 1 мln

52

42 6 0

100

1-2 мln

11

44 33 12

100

>2 мln

40

22 14 24

100

It can be seen that in cities with a population of more than 1 million, the number of centers with a high enrollment of patients is twice as high, which is most likely due to the developed infrastructure and confirms the literature data [7,8]. Statistical values presented below in Table 5.

Table 5: Rate of recruitment presented depends of population presented.

Parameter, p-value Parameters according to population,

X ± m

1 – up to 1 mln 2 – 1 – 2 mln

3 – more than 2 mln

1 2

3

4

5

1. Type of site

1,78 ± 0,14

2,69 ± 0,28

2,12 ± 0,24

2.  Time from first contact till reply, days

P 1/2<0,01;

2/3<0,01;

24,16 ± 3,1

11 ± 1,48

31 ± 5,53

3. Speed of recruitment

P 1/2<0,05;

0,14 ± 0,05

0,57 ± 0,2

0,47 ± 0,16

4. Protocol planned recruitment rate per month

0,33 ± 0,02

0,31 ± 0,02

0,37 ± 0,02

5. Recruitment amount final per site

P 1/2<0,01

3,75 ± 1,24

15,08 ± 5,06

12,24 ± 4,15

6. Patients to be planned per site

12 ± 1,44

18,53 ± 3,24

20,48 ± 3,9

7. Percentage of performance

30,189 ± 9,56

111,7 ± 42,5

81,2 ± 25,02

8. Experiences of PI in clinical trial in years

5,8 ± 0,32

5,69 ± 0,59

5,52 ± 0,47

9. RATIO-Planned/maximum pats per protocol

5,37 ± 0,71

5,68 ± 1,1

5,58 ± 0,75

10. RATIO – time of first reply/planned patients

P 1/2<0,01;

2/3<0,01;

2,81 ± 0,45

0,7 ± 0,11

2,3 ± 0,47

11. 1/time to reply

0,08 ± 0,02

0,17 ± 0,07

0,13 ± 0,05

12. 1/planned patients

P 1/2<0,01;

1/3<0,01;

0,12 ± 0,02

0,07 ± 0,009

0,07 ± 0,006

13. ratio 1 ((1/time to reply)/(1/planned patients))

1,02 ± 0,26

2,46 ± 0,8

3,3 ± 1,69

Analysis of table showed following statistical differences:

  • Time of first contact has a statistcial differences in group 2 two more time lesst than ingroups 1 and 3, that is the optimal infrusctructue and population is 1 – 2 mln to have a quick reply.
  • Speed of recruitment also was statistically higher in area of 1-2 mln people as well as final recruitment.
  • RATIO time of first reply to planned pats and 1 divided by planned pats also has a statistial significance. Wich means that these ratios quite sensitive to this parameter.

The living area, density of living area where being investigating the medicinal product definitely has an influence to recruitment.

Parameters of recruitment presented on Table 6. From the analysis of the Table 6, it can be seen that the population density of up to 4000 people is enough for the enrollment of patients to be high enough, however, with a population density of more than 4000 people, the percentage of silent sites is minimal in relation to the percentage of highly recruited ones.

Table 6: Parameters of recruitment and Density of population.

Density of population

Efficacy of recruitment (% N=70 центров)
1 2 3 4 5

6

People on km2

Non-recruiting sites

Low-recruiting sites Middle-recruiting sites High-recruiting sites

Total

< 2000

4 (6%)

5 (7%) 0 0

9 (13%)

2001-4000

17 (24%)

14 (19%) 7 (10%) 5 (7%)

43 (60%)

>4000

5 (7%)

4 (6%) 4 (7%) 5 (7%)

18 (27%)

Density of population

Efficacy of recruitment (% N=70 центров)

1 2 3 4 5

6

People on km2

Non-recruiting sites

Low-recruiting sites Middle-recruiting sites High-recruiting sites

Total

< 2000

4 (6%)

5 (7%) 0 0

9 (13%)

2001-4000

17 (24%)

14 (19%) 7 (10%) 5 (7%)

43 (60%)

>4000

5 (7%)

4 (6%) 4 (7%) 5 (7%)

18 (27%)

Analysis of Table 7 revealed that:

Table 7: Parameters of recruitment depends of living area, density of living area.

Parameter, p-value Parameters according to density of living area,

X ± m

1 – up to 2000 2 – 2000-4000

3 – more than 4000

1

2 3 4

5

1. Type of site

1,56 ± 0,17

2 ± 0,15

2,5 ± 0,28

2. Time from first contact till reply, days

28,22 ± 6,84

21,47 ± 2,79

28,56 ± 6,52

3. Speed of recruitment

P 1/2<0,01;

1/3<0,01;

0,03 ± 0,01

0,31 ± 0,09

0,53 ± 0,17

4. protocol planned recruitment rate per month

0,3 ± 0,02

0,34 ± 0,01

0,35 ± 0,03

5. Recruitment amount final per site

P 1/2<0,01;

1/3<0,01;

0,89 ± 0,34

8,33 ± 2,38

14,22 ± 4,38

6. Patients to be planned per site

11,22 ± 2,08

16,7 ± 2,34

17,67 ± 3,35

7. Percentage of performance

P 1/2<0,01;

1/3<0,01;

7,56 ± 3,47

56,39 ± 14,84

108,65 ± 33,68

8. Experiences of PI in clinical trial in years

5,89 ± 0,3

5,6 ± 0,3

5,78 ± 0,61

9. RATIO-Planned/maximum pats per protocol

4,38 ± 1,23

5,91 ± 0,6

5,09 ± 0,89

10. RATIO – time of first reply/planned patients

3,66 ± 1,22

1,87 ± 0,28

2,42 ± 0,55

11. 1/time to reply

0,06 ± 0,01

0,13 ± 0,03

0,11 ± 0,05

12. 1/planned patients

0,13 ± 0,03

0,08 ± 0,01

0,1 ± 0,02

13. ratio 1 ((1/time to reply)/(1/planned patients))

0,64 ± 0,16

2,47 ± 0,92

2,01 ± 1,05

– Speed of recruitment mush less in first group

– Final recruitment also has a statistical differences

– Percentage of performance has a statistical differences

– RATIO planned pats to maximum pats per protocol also has a differences.

– RATIO- time first screening / TIME first reply has a statistical differences.

The density definitely has a clear evidence that the more density of people the more recruitment and speed of it being expected.

Cumulative figure of investigated of three parameters presented below in Figures 1-5.

fig 1

Figure 1: Rate of recruitment and external factors. Figure is show that obviously the less density and people in area of conductning the clincial trials the less rate of recruitment.

fig 2

Figure 2: Time of first feedback and external factors. Clearly is seeing that very fast reply is seeing in population 1-2 mln people.

fig 3

Figure 3: Performance of target recruitment and external factors (please refer to table above). Figure 3 show that performance if very low where low density of population.

fig 4

Figure 4: Rate of ratio of target recruitment to study power and external factors

fig 5

Figure 5: Rate of changed parameters and external factors. Figure shows that this ratio is not sensitive during acting of population and density. The percentage of changed parameter and ratio under influence of population and density of people presented in this figure.

Short Discussion

Authors [9] did not find the correspondence beetwen the rate of recruitment and the actual population and we found also that mostly of parameters do not changing, but we firstly showed a new ratios which sensitive to the investigated factors. We found like some authors [10-19] that sites in area with high amount of people has more expectation to perform the recruitment.

Therefore, the following investigation of different factors will support the clinical trial industry in moire efective clinical trials.

References

  1. Chin FP, Nguyen LT, Quilty MT, Kerr CE, Nam BH, et al. (2008) Effectiveness of recruitment in clinical trials: an analysis of methods used in a trial for irritable bowel syndrome patients. Clin. Trials 29: 241-251. [crossref]
  2. Fouad MN, Lee JY, Catalano PJ, Vogt TM, Zafar, et al. (2013) Enrollment of patients with lung and colorectal cancers onto clinical trials. Oncol. Pract. 9: 2 e40-47.[crossref]
  3. Murthy VH, Krumholz HM, Gross CP. (2004) Participation in cancer clinical trials: Race-, sex-, and age-based disparities. JAMA 291: 2720-2726 [crossref]
  4. Stewart JH, Bertoni AG, Staten JL, et al. (2007) Participation in surgical oncology clinical trials: Gender-, race/ethnicity-, and age-based disparities. Ann Surg Oncol 14: 3328-3334.[crossref]
  5. Du W, Gadgeel SM, Simon MS (2006) Predictors of enrollment in lung cancer clinical trials. Cancer 106: 420-425.[crossref]
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  7. Lovato LC, Hill K, Hertert S, Hunninghake DB, Probstfield JL (1997) Recruitment for controlled clinical trials: literature summary and annotated bibliography. Clin. Trials 18: 328-352.[crossref]
  8. McNeely EA, Clements SD (1994) Recruitment and retention of the older adult into research studies. Neurosurg. Nurs. 26: 57-61.[crossref]
  9. Hill NS, Preston IR, Roberts KE (2008) Patients with pulmonary arterial hypertension in clinical trials. Who are they? Am. Thorac. Soc. 5: 603-609
  10. van den Bor RM, Grobbee DE, Oosterman BJ, Vaessen PWJ, Roes KCB (2017) Predicting enrollment performance of investigational centers in phase III multicenter clinical trials. Contemp Clin Trials Comm 7: 208-216.[crossref]
  11. L´opez Jaimes. A, Zapotecas Mart´ınez S, Coello CoelloAn CA (2009) Introduction to Multiobjective Optimization Techniques. Nova Science Publishers, Inc., pg: 1-26.
  12. McDonald AM, Knight RC, Campbell MK, Entwistle VA, Grant AM, et al. (2006) What influences recruitment to randomised controlled trials? A review of trials funded by two UK funding agencies, Trials 7.
  13. Fletcher B, Gheorghe A, Moore D, Wilson S, Damery S (2012) Improving the recruitment activity of clinicians in randomized controlled trials: a systematic review. BMJ Open 2: e000496 [crossref]
  14. Joan FBB, Brescia (2007) Reinventing Patient Recruitment: Revolutionary Ideas for Clinical Trial Success. Gower Publishing, Surrey, UK.
  15. LovatoLC, Hill K, Hertert S, Hunninghake DB, Probstfield JL (1997) Recruitment for controlled clinical trials: literature summary and annotated bibliography. Control Trials 18: 328-357.
  16. Friedman LM, Furberg CD, DeMets DL (2010) Fundamentals of Clinical Trials, fourth , Springer.
  17. Myles PS, Williamson E, Oakley J, et al. (2014) Ethical and scientific considerations for patient enrollment into concurrent clinical trials. Trials 15: 470. [crossref]
  18. Robert S. Bienkowski and Norman M. Goldfarb. (2008) Screen Failures in Clinical Trials: Financial Roulette or the Cost of Doing Business? Journal of clinical research best practices Vol.4: 7.
  19. Rahman S, Majumder AA, Shaban SF, Rahman N, Ahmed M. (2011) Physician participation in clinical research and trials: issues and approaches, Med. Educ. Pract. 2: 85-93.[crossref]

A Review on the Main Antibiotic Drugs Used in Fish Farming: Ecotoxicity, Characterization and Remediation

DOI: 10.31038/AFS.2021351

Abstract

Aquaculture is a growing industry with a high demand mainly due to its significant contribution to the food sector. One of the main challenges of aquaculture is the prevention and treatment of fish diseases through the extensive application of antibiotics. However, information on the various consequences of pharmaceuticals in fish farms remains limited to this day. Based on the existing scientific literature, this report aims to give an overview of the most commonly used antibiotics in aquaculture, which belong to the groups of quinolones, sulfonamides, tetracyclines, amphenicols and macrolides. This review paper summarizes the information available on the characterization, ecotoxicology and application of florfenicol, erythromycin, furazolidone, oxolinic acid, ciprofloxacin, ofloxacin, sulfadiazine, sulfadimethoxine, sulfamethoxazole, oxytetracycline and tetracycline.

Keywords

Veterinary drugs, Antibiotics, Characterization, Ecotoxicity, Treatment

Introduction

Aquaculture is the food production sector with the strongest growth, as farming, trading, and processing of marine products are of major social, economic, and environmental importance. Global fish production has reached 179 million tons in 2018, where aquaculture accounted for 46% of the total production. China is by far the major fish producer with 35% of the worldwide production [1]. The recent expansion of aquaculture raises concerns related to the destruction of natural habitat, the utilization of potentially harmful synthetic compounds, the effect of escapees on wild stocks, wasteful production of fishmeal and fish oil, and social and cultural effects on aquaculture laborers and communities. Fish farming requires extensive use of veterinary drugs, including antibiotics. Some of these pharmaceuticals are only partially metabolized, and then excreted, entering the aquatic environment in their native form or as metabolites and showing considerable persistence [2]. Quinolones, amphenicols, macrolides, tetracyclines, and sulfonamides are the most widely used groups of antibiotics [3-6]. The 10 drug molecules that are the most commonly used to prevent and treat fish diseases are: florfenicol, erythromycin, furazolidone, oxolinic acid, ciprofloxacin, ofloxacin, sulfadiazine, sulfadimethoxine, sulfamethoxazole, oxytetracycline and tetracycline [7]. Due to their variety and accumulation in the environment, aquatic organisms are exposed to various antibiotics that can be found as mixtures with potentially enhanced “cocktail effect”, which have not been studied in-depth to this day. The main concerns associated to the use of veterinary drugs are the development of antibiotic resistance, mutagenicity, and inhibition or acute toxicity of aquatic organisms [8]. In natural settings, prolonged exposure to low doses of antibiotics can lead to the selective proliferation of resistant bacteria, which can transfer their resistance genes to other bacterial species, including pathogenic bacteria [9]. Despite their low concentrations, the bioaccumulation and biomagnification of pharmaceuticals can have a significant impact on the aquatic ecosystem and even human health (Pan et al., 2019). Furthermore, additional sources of pharmaceuticals have to be considered for extensive environmental evaluation and implementation of possible control measures. These sources include pharmaceutical facilities, hospitals, and households, as a significant percentage of drugs is not fully eliminated by conventional water treatment technologies [10]. In fish farming, drugs are usually coated (mostly with fish oil, gelatin, or vegetable oil) and gradually added to the fish food. The coating agent helps to prevent the drug from entering the water in the fish farm [11], but effluents containing unconsumed food pellets with high levels of antibiotics are released into the aquatic environment without any treatment [12]. There is a limited knowledge about the fate and consequences of antibiotics once they reach the environment. This report aims at compiling information on available analytical methods to detect and identify low concentrations of antibiotics in the environment, summarize potential ecotoxicological risks, and ultimately to propose possible treatment technologies to effectively eliminate them.

This review paper is divided into four parts. The first one describes the most commonly employed molecules, their use and the associated drawbacks. The second part is devoted to their ecotoxicity. The third part reviews the current methods used for the analysis of these pharmaceuticals in various environmental matrices. The last part discusses the water treatment processes currently applied to remove and/or degrade these compounds.

Main Drugs Used in Fish Farming

This part reviews the six main families of drugs usually used in fish farming, their main properties and their mode of administration: cyclins, amphenicols, sulfonamides, quinolones, macrolides and nitrofurans.

Tetracycline

Tetracyclines were discovered in the 1940s and showed activity against a wide range of microorganisms. They are inexpensive and applied for the treatment of human and animal infections as well as in animal feed to promote growth. Tetracycline (TET) is one of the most common type of antibiotics used in medicine, agriculture, and animal husbandry; its chemical structure comprises a fused linear tetracyclic nucleus to which various functional groups are attached as shown in Figure 1 [13]. Due to its widespread application, a growing number of pathogens are developing resistance to tetracycline, therefore decreasing its efficiency. Oxytetracycline (OTC) is a broad-spectrum antibiotic used in veterinary medicine to treat, among others, diseases in fish [8]. It has a role as an antibacterial and anti-inflammatory drug, protein synthesis inhibitor, and antimicrobial agent (ChEBI 27701). OTC is active against gram-positive bacteria, gram-positive bacilli, and gram-negative organisms [14]. In the past decades, the use of OTC increased with the development of aquaculture and livestock production [15] and thanks to its low cost and its broad-spectrum efficacy in treating infections [14]. There are three main ways to administer OTC to farmed fish: through the feed, bath treatment, and injection. Among these options, the incorporation of the antibiotic in food for oral administration is the most common and the one with the least risk in terms of environmental pollution [8]. OTC is only minimally metabolized and is mainly excreted through urine.

fig 1

Figure 1: Chemical structures of tetracycline (left) and oxytetracycline (right).

Amphenicols

Amphenicols are important veterinary antibiotics with wide-spectrum antimicrobial activity. Florfenicol (FF, see Figure 2) is an antimicrobial agent, which is extensively used in fish farming. Grave et al. investigated the use of antimicrobial drugs in Norwegian aquaculture from 2000 to 2005 by analyzing prescription data, in close relation with the national data of the sold antimicrobial drugs. FF has long been the most abundant drug prescribed for halibut farming in Norwegian aquaculture [16]. In 2013, 0.3 tons and 300 tons of FF were used in fish farming in Norway and Chile, respectively. In 2016, it was reported that over 1000 tons of FF were used in China. Temperature, exposure time, coating agent, and pellet size are the important factors that influence release of FF into the water [11]. According to the EU Council directive, the maximum residue limit value of the sum of FF and florfenicol amine in muscle and skin in natural proportions of healthy fish was given as 1,000 μg/kg (Commission Regulation EU No 37/2010). FF is bacteriostatic, which means it prevents the bacteria from protein synthesis [11]; it is usually used for respiratory and intestinal infections [17].

fig 2

Figure 2: Chemical structure of chloramphenicol.

Sulfonamides

Sulfonamides are used as chemotherapeutics to treat various bacterial infections in veterinary medicine [5]. Due to their broad-spectrum antimicrobial activity and low cost, they were among the most applied antibiotics and thus, commonly detected in aquaculture wastewater [18]. Currently, only a few drugs belonging to sulfonamides are used due to the developed resistance in previously susceptible microorganisms. Sulfadiazine (SDZ) and sulfadimethoxine (SDM) are the most used antibiotics in fish farming; their chemical structures are displayed Figure 3. When applied to animals, sulfadiazine, is excreted in its native form and its N4-acetyl metabolite [19]; it is often considered as a representative antibiotic of sulfonamides due to its wide presence in the environment with low hydrophobicity and high water solubility in [20]. Sulfadimethoxine (SMX – Figure 4) is a broad-spectrum antibiotic used in human therapy, aquaculture, livestock, and veterinary medicine. Although its use is decreasing in humans, its low cost secures its popularity in veterinary medicine [21].

fig 3

Figure 3: Chemical structures of sulfadiazine (left hand), sulfamethoxine (middle) and sulfamethoxazole (right hand).

fig 4

Figure 4: Chemical structures of some quinolone drugs: oxolinic acid (OXO), ofloxacin (OFLO), ciprofloxacin (CIPX) and flumequine (FLU).

Quinolones

The antibiotics from the group of quinolones are widely used in human and veterinary medicines to treat infectious diseases and to promote livestock growth (Yang et al., 2020). They directly inhibit DNA replication by interacting with two enzymes. Oxolinic acid (OXA) is efficient against a gram-negative bacterium that causes diseases such as vibriosis, yersiniosis, and furunculosis. It has been administrated to farm fishes as a prophylactic and chemotherapeutic agent acting as anti-infective, antibacterial and enzyme inhibitor [22]. Its use in humans is now prohibited in several countries but is still frequently used in veterinary medicine to treat urinary infections, and it was detected in animal excreta [23]. Ofloxacin (OFLO) is a quinolone that was previously used for human health, for the therapy of mild to moderate bacterial infections, it has since been replaced by more potent and less toxic antibiotics, however it is still used in aquaculture. In the group of quinolones, ciprofloxacin (CIPX) is considered as a representative drug against gram-negative bacteria; it has been detected in marine environment, as well as in freshwater. In aquatic environments it affects the metabolism of some bacteria carbon sources and is toxic to fishes (Yang et al., 2020). Flumequine (FLU), as a first generation quinolone, is structurally related to nalidixic and oxolinic acid [24]. Oxidation experiments carried out on flumequine led to a total of 19 transformation products issued from hydroxylation, dehydrogenation, hydroxyl substitution, decarboxylation, demethylation, and ring opening transformation pathways [25].

Macrolides

The group of macrolides refers to macrocyclic lactone ring structures; they are used for their immunomodulatory and antibacterial functions (Yang et al., 2020). In addition to their antibacterial action, macrolides can have an anti-inflammatory effect by decreasing the activity of immune cells and altering bacterial cells. Erythromycin (ERY, see Figure 5) is efficient against gram-positive bacteria, as streptococcus species. However, most of the microorganisms that cause infection in fish are gram-negative, so this compound should only be utilized after fish culturing and sensitivity test results should affirm its viability. Additionally, erythromycin is not efficient in bath treatment and must be administered by injection or in the feed [26].

fig 5

Figure 5: Chemical structure of erythromycin.

Nitrofurans

Nitrofurans are antimicrobial agents which have been used for animal production. They have strong impact on gram-negative and gram-positive bacteria and act against protozoa as well. In 1993, their application has been banned by EU due to their potential mutagenic effect. Furazolidone (FUR, see Figure 6) is a nitrofuran antibiotic widely used in human and aquaculture medicine against protozoal and Helicobacter pylori infections. Its biodegradation leads to 3-amino-2-oxazolidone and β-hydroxyethylhydrazine [27]. It is still utilized in developing countries, although it is banned in developed countries.

fig 6

Figure 6: Chemical structure of furazolidone.

Ecotoxicology of the Main Drugs Used for Fish Farming

Table 1 presents a summary of the ecotoxicological data available for veterinary drugs mainly used in fish farming. The data are discussed below, for each pharmaceutical family.

Table 1: Ecotoxicology data for the veterinary drugs mainly used in fish farming

Drug

Ecotoxic effect

Reference

Tetracycline & oxytetracycline, 24 h-EC50 for Stentor coeruleus and Stylonychia lemnae were 94.4 mg/L and 40.1 mg/L, respectively Magdaleno et al., 2017
Florfenicol Inhibiting growth rate of Corbicula fluminea at concentrations higher than 1.8 mg/L Guillermino et al., 2017
Sulfadiazine LC50 of 1.884 mg/L for Daphnia magna Duan et al., 2020
Sulfamethoxazole IC50 = 12.56 ± 4.48 mg/L for A. fischeri Drzymała & Kalka, 2020
Sulfadimethoxine EC50 of 248 mg/L for daphnia magna Tkaczyk et al., 2021
Oxolinic acid 4.6 mg/L EC50 for Daphnia magna Tkaczyk et al., 2021
Ofloxacin Chronic toxicity and drug resistant bacteria H. Guo et al., 2021
Ciprofloxacin Concentrations greater than or equal to 10 μg/L: ecotoxic for development, growth, detoxification and oxidative stress enzymes Białk-Bielińska et al., 2011
Flumequine Affecting growth rate of Daphnia magna at 23% across generation De Liguoro et al., 2019
Erythromycin EC50 values in the range of 10 -30 mg/L for Vibrio fischeri Liu et al., 2018
Furazolidone Very toxic to Alivibrio fischeri with an EC50 of 2.05 mg/L Lewkowski et al., (2019)

Tetracyclines

In aquaculture, oxytetracycline is one of the most used antibiotics that raises concerns due to its effects on human and animal health, and environmental pollution [8]. In the marine environment, oxytetracycline and quinolones are photochemically degraded and form divalent cationic complexes in the presence of Ca2+ and Mg2+ ions, causing a loss in antibacterial activity. In freshwater, the antimicrobial activity of tetracyclins is of bigger concern due to the development of antibiotic resistance [28]. OTC inhibits the growth of two species of algae: pseudokirchneriella subcapitata (the international standard species for evaluation of inhibition) and Ankistrodesmus fusiformis (native from Argentina). The former was the most sensitive with an EC50 of 0.92±0.30 mg/L [29]. OTC can also affect nitrification since the main bacteria responsible for biofilters – nitrosomonas that promote the conversion of ammonia to nitrite and Nitrobacter that convert nitrite to nitrate – are gram-negative. Li et al. investigated the toxic effect of tetracycline and tetracycline hydrochloride on two model ciliates: Stentor coeruleus and Stylonychia lemnae. The 24 h-EC50 of tetracycline for Stentor coeruleus and Stylonychia lemnae were 94.4 mg/L and 40.1 mg/L, respectively. For tetracycline hydrochloride, the EC50 for Stentor coeruleus and Stylonychia lemnae were 8.39 mg/L and 14.0 mg/L, respectively [15]. This shows that tetracycline hydrochloride is more toxic than tetracycline in these test organisms. Both compounds deteriorate the ultra-cell structure and inhibit the cell growth rate [29].

Amphenicols

Florfenicol (FF) restrains the bacterial protein synthesis efficiency by binding to 50S subunit and 70S ribosome, and it is listed as the top-priority monitoring compounds in veterinary drugs in South-Korea [30]. FF also inhibits the hematopoietic system [31] and deteriorates the mobility, regeneration, and population increase of the tropical Cladocera silvestrii [32]. It also decreases egg hatchability and hinders the development of the cardiovascular system [33]. Guilhermino et al. showed that a FF concentration in water greater than 1.8 mg/L can inhibit the growth of the mollusk Corbicula fluminea [34].

Sulfonamides

The chronic and acute toxicity of sulfadiazine on the crustacean Daphnia magna was investigated and the LC50 value was determined as 1.884 mg/L [35]. The exposition of zebrafish to some sulfonamides, including sulfadiazine, caused an increased heart rate and abnormal swimming. This investigation also proved that sulfadiazine was a typical inducer of metabolic enzymes and suggested a potential ecotoxicological risk [36]. It is important to consider that sulfadiazine can have an impact on biological water treatment processes. Li et al. studied the effects of this antibiotic on a sequencing batch biofilm reactor (SBBR). They found that a sulfadiazine concentration higher than 6 mg/L inhibits COD (Chemical Oxygen Demand) and ammoniacal nitrogen removal within the SBBR when treating aquaculture waste [37]. Sulfadiazine promotes the secretion of extracellular polymeric substances by the microorganisms and impacts the biofilm composition, it has a direct impact on nitrification and the removal of organic matter. Sulfamethoxazole has been studied in a microcosmos composed of water, sediment and zebrafishes. The drug concentration decreased gradually in water while increasing over time in sediment and zebrafish. Bioaccumulation in zebrafish was reduced by 13-28% in the presence of sediment particles in the water; it was further reduced (24-33%) when increasing the water salinity [38]. In the study conducted by [39], sulfadimethoxine was considered to be moderately toxic with an EC50 towards the green algae Chlorella vulgaris of 4.24 mg/L in fresh water, which was measured to be higher (11.2 mg/L) in salt water [39].

Quinolones

According to a study by Tkaczyk et al., oxolinic acid EC50 was 4.6 mg/L EC50 for Daphnia magna [40]. Sun et al. investigated the bioaccumulation of ofloxacin in crucian carp and showed that fluorine increases the bioaccumulation of the antibiotic; higher bioaccumulation potential appears at a low concentration of drug, mostly in the liver [41]. De Liguoro et al. evaluated the effect of continuous and alternate exposure of flumequine at 2 mg/L on Daphnia magna survival, growth, and reproduction. At this concentration, mortality was observed at a rate of 23  ± 14% across generation [42].

Macrolides

Erythromycin has shown medium risk for algae, but bacteria are the main target of antibiotics such as erythromycin. Erythromycin can cross the cell membrane of the bacteria and bind to 50S subunit ribosome [43]. It is also very persistent in the environment due to having aromatic rings, which makes it refractory [44].

Nitrofurans

Lewkowski et al. investigated the effect of furazolidone on growth of oat, radish Sativus, and Alivibrio fischeri bacteria. Their results indicated that furazolidone is very toxic to Alivibrio fischeri with an EC50 of 2.05 mg/L [45]. The accumulation of furazolidone metabolites have been reported in the literature [5]; its use is prohibited by the Food and Drug Administration due to being a nitrofuran compound and inhibiting monoamine oxidase [46].

Methods for Characterization of Drugs Used in Fish Farming

Table 2 presents a summary of the analytical approaches employed for the detection and quantification of veterinary drugs mainly used in fish farming; protocols and methods are discussed below.

Table 2: Analytical methods reported for the detection and quantification of the main antibiotic veterinary drugs used in fish farming

Drug type

Matrix Characterization methoda MS typeb Sample preparationc Analytical column LC Mobile phased

Reference

Tetracyclins including OTC Feeds HPLC-UVD/FLD LLE using acetonitrile and Na2EDTA-Mcllvaine buffer solution C18 Hypersil GoldTM (250 x 4.6 mm, 5 μm) Phase A: H2O + sodium acetate CaCl2 + EDTA

Phase B: ACN

Phase C: MeOH

Han et al., 2020
Antibiotic drugs

Including SMX, SDZ, SMZ, CIPX, OFLO, TET and ERY

Wastewater UPLC-MS/MS TQ SPE using an Oasis HLBTM cartridge) C18 BEHTM (50 x 2.1 mm, 1.7 µm) Phase A: H2O + FA

Phase B: ACN or MeOH

Li et al., 2009
Sulfonamides, fluoroquinolones, tetracyclines and other veterinary drugs Seafood samples UPLC-MS/MS TQ QuEChERS procedure C18 Hypersil GoldTM (100 × 2.1 mm, 1.9 μm) Phase A: H2O / MeOH + FA

Phase B: ACN + FA

Dinh et al., 2020
Metabolites of nitrofurans and FUR Shrimp body LC-MS/MS TQ Hydrolysis + double LLE using ethyl acetate C18 SymmetryTM (150 x 2.1 mm, 3.5 μm) Phase A: ACN

Phase B: H2O + FA

Douny et al., 2013
4 tetracyclines including TET, OTC; quinolones including FLU, CPIX and OXA Fish muscles LC-MS/MS TQ Liquid extraction with trichloroacetic acid C18 Zorbax Eclipse XDBTM (150 × 4.6 mm, 5.0 µm) Phase A: H2O + HFBA

Phase B: ACN

Guidi et al., 2018
OTC Sol interstitial water LC-MS/MS TQ Centrifugation, filtration C18 Xterra MSTM (100 x 21 mm, 3.5 µm) Phase A: MeOH + FA

Phase B: MeOH / H2O + FA

Halling-Sørensen et al., 2003
FF Water in recirculating aquaculture system HPLC-PDA SPE using an Oasis HLBTM cartridge Hypersil GOLDTM (250 x 4.6 mm, 5 μm) Phase A: ACN

Phase B: H2O

Zhang et al., 2020
FF and its residues Beef meat LC-MS/MS TQ SPE using an Oasis MCXTM cartridge C18 Inertsil ODS-4TM (150 × 2.1 mm, 3-μm) Phase A: H2O + acetic acid

Phase B: ACN

Saito-Shida et al., 2019
FF Fish feed LC-MS/MS TQ Centrifugation with ACN addition C18 SBTM (50 x 2.1 mm, 1.8 µm) Phase A: H2O + acetic acid

Phase B: ACN / MeOH

Barreto et al., 2018
14 sulfonamide antibiotic residues 309 marine products HPLC-PDA

 

UPLC-MS/MS

TQ Centrifugation with ACN addition C18 CapcellpakTM (250 x 4.6 mm, 5 ㎛) for HPLC-PDA

 

C18 Acquity UPLC BEHTM (100 x 2.1 mm, 1.7 µm) for UPLC-MS/MS

Phase A: H2O + KH2PO4

Phase B: MeOH

for HPLC-PDA

 

Phase A: H2O + FA

Phase B: ACN + FA

for UPLC-MS/MS

Won et al., 2011
20 antibiotics including FF, SDZ, SMX, CPIX, TET, OTC and ERY Surface waters UPLC-MS/MS TQ SPE using an Oasis HLBTM cartridge C18 HSS T3TM (100 x 2.1 mm, 1.8 µm) Phase A: H2O + FA

Phase B: ACN + FA

Yan et al., 2013
19 sulfonamides including SDZ, SDM and SMX Ebro river, WWTP samples LC-MS/MS QqLIT on-line SPE using Oasis HLBTM or Oasis MCXTM cartridges C18 AtlantisTM (150 × 2.1 mm, 3 µm Phase A: H2O + FA

Phase B: ACN + FA

García-Galán et al., 2011
73 pharmaceuticals including TET, OTC, SDZ, SMX, OFLO, FLU, CPIX and ERY River water, WWTP influent and effluent LC-MS/MS QqLIT on-line SPE using a Oasis HLBTM cartridge C18 Purospher Star RP-18TM endcapped column (125 × 2.0 mm, 5 μm) Phase A:

ACN / MeOH

Phase B: H2O

Gros et al., 2009
20 antibiotics including

CIPX, ERY, SMZ, SMX, TET and OTC

Raw influent, treated effluent, surface water LC-MS/MS TQ on-line SPE using a combination of SBTM and HR-XTM cartridges C18 Poroshell 120 ECTM (100 x 3.0 mm, 2.7 μm) Phase A: H2O + FA

Phase B: ACN + MeOH

Tran et al., 2016
SMX and its photoproducts Aquatic organisms LC-MS/MS TQ No sample preparation C18 Zorbax eclipse plusTM (50 x 2.1 mm, 1.8 µm) Isocratic mobile phase H2O / ACN Li et al., 2020
OTC, FF, OXA and FLU Marine sediments HPLC-PDA-FLD LLE (using oxalic acid in methanol) assisted by sonication Kromasil PhenylTM (250 x 4.6 mm, 5 µm) Phase A: H2O + TFA

Phase B: MeOH + TFA Phase C: ACN + TFA, with or without gradient

Norambuena et al., 2013
46 antimicrobial drug residues including sulfonamides, tetracyclines, quinolones, macrolides, nitrofurans and phenicols Aquatic matrices, pond water UPLC-HRMS OrbitrapTM SPE using an Oasis HLBTM cartridge C18 Hypersil GoldTM (100 × 2.1 mm, 1.9 μm) Phase A: H2O + TFA

Phase B: MeOH + TFA

Goessens et al., 2020
11 fluoroquinolones including OFLO and CIPX Wastewater and sludges UPLC-MS/MS Q-trap SPE using molecularly imprinted polymer cartridges C18 Proshell 120 SBTM (100 × 2.1 mm, 2.7 µm) Phase A: H2O + FA

Phase B: MeOH + FA

Yu et al., 2020
Fluoroquinolone residues Sewage samples LC-MS/MS TQ on-line SPE with micellar desorption C18 SymmetryTM (150 x 3.9 mm, 4 µm) Isocratic mobile phase consisting of H2O + MeOH Montesdeoca-Esponda et al., 2012
FLU and OXA Aquatic sediments and agricultural soils HPLC-FLD MAE C8 InertsilTM (250 × 4.6 mm, 5 µm) Isocratic mobile phase consisting of H2O + oxalic acid buffer + ACN Prat et al., 2006
FLU Ultrapure water, tap water, secondary clarifier effluent and river water HPLC-FLD

 

LC-MS/MS

Q-TOF Microfiltration C18 BDS HypersilTM (250 x 4,6 mm, 5 μm) Phase A: H2O + FA

Phase B: MeOH

Qui et al., 2019

a LC: liquid chromatography, HPLC: high performance liquid chromatography, UPLC: ultrahigh performance liquid chromatography, UVD: UV detector, FLD: fluorescence detector, PDA: Photodiode array detector, MS/MS: tandem mass spectrometry, HR-MS: high resolution mass spectrometry
b Q: quadrupole, TQ: triple quadrupole, q: collision cell, TRAP: ion trap, LIT: linear ion trap, TOF: time-of-flight
c LLE: liquid-liquid extraction, SPE: solid phase extraction, QuEChERS: sample preparation method (Quick, Easy, Cheap, Efficient, Rugged and Safe), MAE : microwave assisted extraction
d ACN: acetonitrile, MeOH: methanol, EDTA: ethylenediaminotetraacetic acid, FA: formic acid, TFA: trifluoro acetic acid

The first step of the analytical process consists in sample preparation, which includes extraction of analytes from the matrix, purification and concentration. When imposed by the analytical technique, a derivation step is added at the end of the process. Solid phase extraction (SPE) has been extensively reported as a tool for choice for the extraction of the pharmaceuticals mainly used in fish farming because (i) it is suitable for very complex matrices, (ii) it is highly selective, and (iii) it permits significant pre-concentration. Furthermore, SPE can be installed on-line with a chromatographic system and automated, which allows high throughput analysis; this is the case for some studies reported in Table 2 [47]. Oasis HLB™ are the most used cartridges in the reported studies, as they are suitable for the simultaneous extraction of compounds from various families: sulfonamides (SMX, SDZ, SMZ), tetracyclines (TET, OTC), quinolones (OFLO, FLU, CPIX), macrolides (ERY), nitrofurans and phenicols (FF) [15,23,47]. Apart from SPE-based approach, various sample preparation processes have been reported, including liquid-liquid extraction (LLE) with or without sonication or microwave assistance (Norambuena et al., 2013; Prat et al., 2006). In a general way, acetonitrile appears as the solvent of choice for the extraction of these molecules.

In most of the studies devoted to drugs used in fish farming, analytes are separated using liquid chromatography. High-performance liquid chromatography (HPLC) is the most widely applied technique to detect veterinary drugs with great accuracy and reliability [48]; it is nevertheless more and more replaced by UPLC (Ultrahigh Performance Liquid Chromatography), which uses a new generation of columns filled with small particles of hybrid material (diameter at the μm scale) and operates with a much higher column pressure (up to 15,000 psi) than HPLC. UPLC considerably reduces runtime and thus increases sample throughput; it performs also much better in terms of resolution, sensitivity, and separation efficiency; it is almost always coupled with a mass spectrometer (see below). Li et al. developed a rapid, sensitive, and reliable UPLC-MS/MS method for the determination of 21 antibiotics belonging to 7 classes in different wastewater matrixes (Li et al., 2009). Yu et al. reported a selective and sensitive method to measure 11 antibiotics in water by UPLC-MS/MS; it was successfully used to identify ofloxacin in wastewater and sludge samples [49]. Dinh et al. used UPLC-MS/MS to find different veterinary drugs including furazolidone, with a limit of detection of 1.5-3 μg/kg for the later [5]. Whatever the chromatographic system (HPLC or UPLC), most of the studies were conducted using reverse phase chromatography. Many brands and geometries were tested but at the end the retained columns are almost all C18-types. The mobile phase is almost always a very classical one in the following type of configuration: a binary gradient made of an aqueous phase (ultrapure water) and an organic one (ACN or MeOH), both acidified with a small organic acid (acid formic, acetic, trifluoroacetic…) generally at 0.1%. Among all the studies listed in Table 2, the only one that uses a non C18 stationary phase (phenylpropylsilane phase) is that by Norambuena et al., devoted to the analysis of oxytetracycline, florfenicol, flumequine and oxolinic acid in marine sediments (Norambuena et al., 2013). In this work, HPLC was equipped with a PDA (photodiode array detector). HPLC with PDA detection was also used for the detection of florfenicol in water by Zhang et al. and that of sulfonamide residues by Won et al. [50,51]. HPLC-PDA has been also reported for the detection of sulfadiazine in South-Korean marine products, although SDZ was only identified in 2 of the 10 samples analyzed [51]. Han et al. reported a combination of UVD (UV detector) and FLD (fluorescence detector) for the analysis of tetracyclines in feeds [48]. Studies reporting the detection of flumequine and oxolinic acid by HPLC-FLD in sediments, soils and various types of water have been also reported [25]. In a general way “classical” HPLC detectors tend to be gradually replaced by mass spectrometers, which are today recognized as the best detectors in terms of sensitivity, specificity and selectivity.

In almost all of the studies conducted using LC-MS coupling, the liquid chromatograph (HPLC or UPLC) is coupled with a triple quadrupole (TQ) operated in the MRM (multiple reaction monitoring) mode on two transitions. Tandem mass spectrometry (MS/MS) is preferred to simple MS as it strongly reduces the risk of false negatives when performing analysis of complex matrices (Bouchonnet, 2013). Hybrid mass spectrometers associating a quadrupole, a collision cell, and an ion trap have been also reported; their principle of operation is quite similar to that of TQs except that the ion trap permits ion accumulation before detection [47,49]. Among all the studies listed in Table 2, only that by Goessens et al. refers to a high-resolution mass spectrometer (Orbitrap™), which has been employed to analyze 46 antimicrobial drug residues including sulfonamides, tetracyclines, quinolones, macrolides, nitrofurans and phenicols in aquatic matrices [23]. Since it allows the differentiation of isobaric ions, high-resolution mass spectrometry (HRMS) constitutes a tool of choice for structural elucidation of metabolites and by-products; it also significantly reduces interferences during routine analysis of very complex matrices. The use of MS/MS and/or HRMS enables the development and validation of multi-residue methods able to detect and quantify many molecules in one unique run. Even if the number of analytes remains limited in comparison with methods reported for pesticide residue dosages (hundreds of analytes), some of the methods reported for the analysis of veterinary antibiotics allows the simultaneous detection of tens of drugs. For instance, Gros et al. developed a LC-MS/MS method for the one run detection of 73 pharmaceuticals including tetracycline, oxytetracycline, sulfadiazine, sulfamethoxazole, ofloxacin, flumequine, ciprofloxacin and erythromycin in river water and WWTP influent and effluent while a LC-HRMS was developed by Goessens et al. for the analysis of 46 antimicrobial drug residues including sulfonamides, tetracyclines, quinolones, macrolides, nitrofurans and phenicols in aquatic matrices [23].

A few analytical approaches were developed apart from traditional separative processes such as liquid chromatography. For example, an aptaprobe was used for the detection of sulfadimethoxine; it simply and conveniently detects SDM with accuracy in the range of 94.2-113% in seawater and 104-118% in fish [52]. A dichromatic label-free aptasensor detects SDM presence through fluorescent emission and color changes of gold nanoparticles. This aptasensor can be applied to the rapid detection in fish and water samples with accuracies between 99.2 and 102% for fish, 99.5 and 100.5% for water [53]. Almeida et al. also developed a new low-cost plastic membrane electrode that detects low concentrations of SDM in aquaculture waters. To test this device, sulfadimethoxine was added to aquaculture waters and the results showed a good agreement between added and measured drug amounts with recoveries ranging from 96.8% to 101%, with a relative error between -0.7% and 3.5%, which suggests that it constitutes a good method that could be extended to the determination of other pharmaceuticals in water [54].

Treatment Processes

Once they reach the environment, micropollutants are subjected to three main degradation processes: biodegradation, hydrolysis, and photolysis [8]. Due to their own antibacterial activity, antibiotics are poorly or not degraded by natural biotic processes. Chemical and physical processes – natural or industrial – can be considered as a better option to remove these refractory veterinary drugs. As we will see below, many treatments have been considered for their degradation and/or removal from aqueous media; they include membrane anodic Fenton, advanced oxidation processes, heterogeneous photocatalysis, and electrocoagulation [55]. Table 3 lists some treatments applied for the removal of veterinary pharmaceuticals considered individually.

Table 3: Various treatment methods for the removing of the veterinary drugs mainly used in fish farming from aqueous media

Treatment process

Drug

Reference

H2O2/Fe + UV treatment Tetracycline, oxytetracycline Zhao et al., 2020
CaO2/UV Florfenicole Zheng et al., 2019
Photodegradation with TiO2, Sulfadiazine He et al., 2016
Batch culture of c. vulgaris microalgae Sulfamethoxazole Y.-Y. Peng et al., 2020
Ozonation Sulfadimethoxine

Erythromycin

A.Y.-C. Lin et al., 2009
Heterogeneous photocatalysis with suspended TiO2 Oxolinic acid Giraldo et al., 2010
Ultraviolet / peroxydisulfate Ofloxacin Zhu et al., 2020
Reverse osmosis membrane Ciprofloxacin Alonso et al., 2018
Electrochemical cathode degradation, Magnetic biochar Furazolidone Kong et al., 2015; Gurav et al., 2020

Using a pilot drinking water treatment plant, Vieno et al. observed the elimination of some pharmaceuticals with a process consisting in ferric salt coagulation, rapid sand filtration, ozonation, and two-stage granular activated carbon filtration. Most pharmaceuticals ceased to be quantifiable at the end of ozonation; only ciprofloxacin passed all treatment steps almost unaffected [56]. No treatment appears as a universal solution at this day. For instance, classical wastewater treatments are known to be inefficient for the elimination of sulfonamides [47]. Tetracycline is hard to degrade using conventional wastewater treatments such as activated sludge, which might be due to tetracyclines’ strong hydrophilic properties related to their stable naphthalene ring structure (Zhao et al., 2020). The biological degradation of oxytetracycline is limited due to its broad-spectrum antimicrobial properties, which are considered responsible for the development of antibiotic resistance genes in the environment (Xie et al., 2016). OTC fails to be degraded into non-toxic transformation products by most abiotic processes; therefore sonocatalytic degradation has been proposed to form less toxic intermediates [57].

Most of the alternative approaches for the removal of the most resistant molecules are based on photocatalytic or electrochemical approaches. For instance, sulfamethoxazole is not efficiently removed in conventional wastewater treatment plants [47] but it is susceptible to photodegradation in aqueous solutions along several pathways [58]. UV-photolysis appears as a treatment of choice for many micropollutants, especially in the presence of a catalyst that increases both the kinetics and yields of the degradation reaction. UV-irradiation induces the formation of hydroxyl radicals from water and dissolved oxygen; these highly reactive radicals are responsible for the oxidation of micropollutants. The addition of hydrogen peroxide, alone or with a metal has been frequently reported. Zhao et al. evaluated the effect of H2O2/Fe addition to the UV treatment of tetracycline. They found out that optimum concentrations of H2O2 (0.5 mM) and Fe(II) (0.05 mM) promote the degradation of TET. Also, a higher pH level facilitated the UV-attenuation of TET (Zhao et al., 2020) while a lower pH helped its degradation under ozonation conditions. Ming Zheng et al. utilized CaO2/UV as an advanced oxidation process to remove FF and other active pharmaceutical compounds from wastewater. CaO2 is considered as the “solid form” of H2O2 with an advantage of being more stable than H2O2 in presence of base or catalyst. CaO2 can produce .OH And O2. radicals and oxidize complex chemical compounds. The highest removal of FF happened at 0.1 g.L-1 of CaO2. The addition of CaO2 also allows reducing the irradiation time and so decreasing the consumption of energy [31]. Titanium oxide appears as a widely used photocatalyst for the removal of pharmaceuticals. UV-irradiation with TiO2 removed 99% of sulfadiazine under the following conditions: initial concentrations of sulfadiazine at 5.0 mg/L and TiO2 at 0.08 g/L, pH = 7, radiation intensity of 1000 μw/cm2 and reaction time of 50 min [59]. SDZ can be also effectively degraded using gamma irradiation, the elimination efficiency being improved under acidic conditions [60]. Degradation of sulfamethoxazole under ultraviolet light with TiO2 reached 96%. TiO2 is the most suitable catalyst due to its stability, non-toxicity, and high catalytic activity [59]. Oxolinic acid was degraded using heterogeneous photocatalysis with titanium dioxide suspended on particles. After 30 min under optimal conditions both the substrate and the microbial activity were eliminated [61] and the residual byproducts did not show antibacterial activity [62]. Organic matter can both hinder and activate the photodegradation. For instance, oxolinic acid persistence is lower in ultrapure water than in environmental water, especially in the presence of high salinity values. The presence of organic matter can decrease the photodegradation rate in freshwater by acting as a light filter and hydroxyl radicals scavenger [63]. An ultraviolet/peroxydisulfate system was reported for the degradation of ofloxacin in synthetic seawater and in synthetic marine aquaculture water; the global toxicity (including toxicities of reagents and by-products) induced by such a process is lower than that induced with traditional approaches using NaClO [64]. Traditional removal processes only based on chemical reactions tend to be replaced by the so-called AOPs (advance oxidation processes) but some of them remains in use. For instance, [21] demonstrated that sulfadimethoxine can be removed by potassium permanganate in water. The degradation is affected by the pH of the solution and a higher temperature is also beneficial for the removal [21]. The use of zero-valent iron-activated persulfate has been developed to remediate antibiotic-contaminated wastewater since it removes 69% and 74% of SDM from filtered and unfiltered discharge water, respectively [65]. It has to be kept in mind that in a general way catalysis is hardly applied to complex matrices (water containing high levels of dissolved organic matter for instance) as it becomes quite inefficient in the presence of large amounts of organic and inorganic species. Furthermore, altering the pH when necessary can be very costly.

Electro-Fenton technology is also an advanced oxidation process that produces hydroxyl radicals to degrade refractory pollutants. However, this process may be inefficient due to the high dissociation energy of some chemical bonds, such as C-F in florfenicol. On the other hand, UV light has shown to be capable of cleaving such bonds, and the combination of Electro-Fenton with UV could be an efficient technology. Jiang et al. coupled the photoelectrochemical reaction in a sequential filtration system to degrade and mineralize FF. Their study revealed 78.1 ± 9.1% mineralization of FF at a low concentration of 14 µM [66]. Various technologies have been studied to remove furazolidone from wastewater samples; among them, Kong et al. used an electrochemical system to degrade FUR in a cathode compartment. Their study evaluated the effect of different cathode potentials, initial antibiotic concentration, and cathode buffer solution on FUR degradation. Different cathode potentials resulted in different degradation products, and different buffer solutions and initial concentrations of furazolidone had just an obvious effect on its removal efficiency [67].

Ozonation has also been reported as a powerful tool for micropollutants abatement. For example, it allowed the degradation of tetracycline at 99.5% with 40% of mineralization (C. Wang et al., 2020). Sulfadimethoxine showed to be completely removed from water by ozone bubbling within 20 minutes; this strong efficiency was partially explained by the presence of one or several aromatic rings on which the O3 molecule can fix itself before hydrolysis and/or ring opening [68]. Ozonation at an application rate of 0.17 g O3/min was able to remove some antibiotics in about 20 min, although the degradation of erythromycin was slower, and more effective at a high pH or with H2O2 addition [68].

As ciprofloxacin is particularly refractory to conventional wastewater treatments, special attention has been paid to its removal using alternative processes. Reverse osmosis was successfully tested for the removal (99.96% removal) of CPIX in seawater [69]. Additionally, ciprofloxacin removal by electrosorption has been successfully demonstrated using graphite felt electrodes [70].

Finally, and despite their microbial activity, some veterinary drugs were submitted to treatments involving biological processes. In two sewage treatment plants in Guangzhou, more than 85% of ofloxacin was removed in the effluents after activated sludge [71]. A novel microalgae biofilm membrane photobioreactor (MBMP) was developed for the cultivation of microalgae and the removal of sulfonamides from residual wastewater of aquaculture. The reduction of sulfadiazine in the MBMP during its stable operation was up to 61-79.2%. It can be considered that the performance of the MBMP is higher than the one achieved by traditional batch cultivation [18]. The removal of sulfamethoxazole by a batch culture of microalgae c. vulgaris was 34.07% after 12 days of concentration in marine aquaculture wastewater (against 3.33% without microalgae). Gurav et al. used a magnetic biochar to remove furazolidone from wastewater; they showed that the magnetic biochar had a higher surface area as compared to normal biochar, and possessed a much better removal efficiency [27].

Conclusion

Aquaculture is a booming industry, which by necessity uses drugs to prevent and treat diseases in fish farms. The current literature has been mainly focused on the possible adverse effects on human health due to the possible remnants of these drugs in fish. In recent years, the presence of drugs in environmental matrices has become more evident but the effects of aquaculture waste on the environment have been poorly documented. Thanks to the continuous improvement of analytical methods, it is now possible to successfully determine veterinary pharmaceuticals at trace amounts in complex matrices. The most common analytical processes rely on solid phase extraction and liquid chromatography – HPLC or UHPLC – coupled with mass spectrometry. Current efforts are aimed at developing multiresidue methods for the simultaneous analysis of various drugs from different families. In any case, the literature directed specifically to the water discarded by aquaculture is very scarce. Although most of the analytical methods are focused on separative processes, recent ventures successfully tested aptasensors and aptaprobes to quickly and efficiently measure low concentrations of antibiotics in water.

Waste from agriculture and aquaculture usually reaches the environment directly, without being previously treated. Currently, there is more knowledge about the toxic effects of pharmaceuticals in humans and animals than about their environmental impact. A good evaluation of their potential ecotoxicological impact should consider factors such as the presence of sediments, the stability of water and other substances with which the drugs can interact since all these parameters may affect the final result of the investigations [72]. It is known that contamination by antibiotics includes the development of resistance in the aquatic pathogens, direct toxicity to microflora and microfauna, and even possible risks to human health due to the consumption of non-target contaminated benthic fauna [73]. For this reason, ways to treat or eliminate these pollutants are still under investigation given that conventional wastewater treatment plants are not fully efficient – and sometimes quasi inefficient – for their removal. The antimicrobial activity of pharmaceuticals makes their treatment through biotic processes difficult and advanced oxidation processes appear as a tool of choice for their removal. Photocatalysis and electrochemistry are not really viable on a wide scale to this day but ozonation and UV/H2O2 oxidation are much more applicable. In a general way, it is of first importance to mitigate the ecotoxicological risks associated with aquaculture waste released into the sea, by (i) selecting the proper veterinary drugs, (ii) limiting the amount of waste release from fish farming and (iii) setting efficient solutions for the removal of pharmaceuticals once or before they reach the environment [74-77].

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Inguinal Hernias Repair by Laparascopy (TEP)

DOI: 10.31038/IMROJ.2021653

Summary

Introduction: The hernia affection is one of the processes that has been studied into much detail and whose treatment pursues excellence, although many controversies are still yet to be resolved. Laparoscopy repair of inguinal hernia is a treatment method that improves the quality of management given to our patients.

Objective: To identify perioperative events, surgical complications and to evaluate the pain referred for the patients who have had inguinal hernia repair by the laparoscopic method (TEP).

Methods: A prospective and descriptive study was done on 80 patients who have had endoscopic (TEP) repair of inguinal hernias between January 2013 and December 2020.

Results: We performed 100 hernioplastias by laparocoscopy in 80 patients. The male sex predominated in a 5:1 ratio and the surgical time average was, 53.5 minutes for unilateral hernias and 71.3 minutes for the bilateral ones. The most frequent complication in the transoperatory stage was ¨minor bleeding¨. At 15 days after surgery, 86.3% of the operated did not complain of pain, but social and laboral reintegration was at a 34% of the total.

Conclusions: Laparoscopic inguinal hernioplasty is a good therapeutic option, mainly in patients with bilateral and reproduced inguinal hernias.

Keywords

Hernia recurrence, Inguinal hernia, Laparoscopic hernioplasty

Introduction

Since the concept of endoscopic inguinal hernia repair was first described by Ger in 1982, endoscopic techniques have been modified; It was a time when failures and complications – coupled with high cost – outweighed initial enthusiasm [1]. Laparoscopic hernioplasty (LH) has gained popularity in the last decade and numerous controlled studies appear in the literature comparing laparoscopic techniques with conventional ones. [2] In recent years, HL, despite being one of the most controversial laparoscopic procedures, has established itself as a therapeutic option to consider. The advantages of this method are demonstrated in bilateral, recurrent hernias and in the labor-active subject, who requires early return to work [3].

Method

Between January 2013 and December 2020, a prospective, descriptive, longitudinal-cut study was carried out in 80 patients operated on by endoscopy (PET) with the diagnosis of inguinal hernia, at the General Teaching Hospital “Enrique Cabrera”. All patients who agreed with the type of surgical intervention, the study and who gave their informed consent were included; patients older than 30 years classified ASA I-III, without anesthetic contraindications for laparoscopic intervention and patients classified as Nyhus III and IV. Patients with previous surgical wounds in the inguinal region, to operate, not dependent on reproduced inguinal hernias and patients with complicated, irreducible or slipped inguinal hernias; they were excluded. The surgical techniques were: totally extraperitoneal laparoscopic inguinal hernioplasty (TEP). The PET technique was performed with some variants such as: no use of the balloon trocar, the preperitoneal space was decolorized by means of the 0º laparoscope and the insufflation of CO2 at 13 mmHg. In patients with large hernial rings, a polypropylene cone was placed in the hernial defect and subsequently a 15 x 12 cm polypropylene prosthesis. There was no need to fasten the meshes with clips [4]. In the immediate postoperative period, the visual pain scale analog scale (VAS) was applied and a pain value was assigned by means of “little faces”, which starts from very happy (I value) to very sad (X value). Pain quantification was repeated in consultation 7 days, 15 days and one month after the operation.

Results

100 hernias were operated on in 80 patients (20 patients [25%] had bilateral hernias, 85 primary hernias, and 15 reproduced hernias). The average age was 55.6 years, the youngest patient was 30 years old and the oldest was 77 years old, but the majority (14 patients) belonged to the fifth decade of life. The male sex predominated in 84%, which represented a male/female ratio of 5: 1. 43% of the patients made great physical efforts on a regular basis.

Table 1 shows that 36 patients had the habit of smoking, which represents 45% of the total and 17 consumed alcohol for 21.2%.

Table 1: Toxic habits and personal pathological history (APP).

Toxic habits and (APP)

Frequency

%

Chronic Cough

6

7,5

COPD

4

5,0

Constipation

7

8,7

Heart disease

7

8,7

Diabetes Mellitus

7

8,7

Smoking

36

45,0

Alcohol consumption

17

21,2

N= 80 COPD: Chronic obstructive pulmonary disease.

Table 2 shows that right hernias were more frequent in 54.0% of the total; the indirect variety with great dilation of the annulus and destruction of the posterior wall (IIIb) was the most frequent (41 hernias). Nine femoral hernias and 15 recurrent hernias were operated on.

Table 2: Distributión according classificatión to the Nyhus [5].

Classifica-tión

Right Left Total
Frequency % Frequency

%

IIIa

19

33,1 16 34,7

35(35,0%)

IIIb

21

37,8 20 50,0

41(41,0%)

IIIc

6

14,1 3 10,8

9 (9,0%)

IV

8

14,8 7 13,0

15(15,0%)

Total

54

54,0 46 46,0

100(100%)

The total is 100 hernias operated on in 80 patients.

The 100 surgeries were performed by PET technique (100.0%). Two of the patients in whom a PET technique was started had to be converted to a conventional prosthetic technique due to accidental perforation of the peritoneum, passing CO2 into the peritoneal cavity, and consequently, the loss of the preperitoneal surgical space, and another was the conversion of a failed PET technique.

The mean surgical time for unilateral hernias was 53.5 min, with a minimum time of 25 min and a maximum of 120 min. In bilateral repairs, the average surgical time was 71.3 min, with a minimum of 40 min and a maximum of 110 minutes. The hospital stay was less than 24 hours in 70 patients (87.5%), in 5 patients it extended from 24 to 48 hours and in 5 patients it lasted more than 48 hours.

Table 3 shows minor bleeding as the most frequent complication in the intraoperative period, in 22 repairs (22.0%) that originated 13 hematomas (13.0%). No complications were observed after the second week, but two patients suffered recurrences (2.0%) more than two months after the operation.

Table 3: Complications.

Complications

Intraoperative complications

2 weeks

After 1 month

Minor bleeding

22 (22%)

Accidental opening of the peritoneum

9 (9,0%)

Hematomas

13 (13,0%)

Seromas

4 (4,0%)

Recurrences

2 (2,0%)

Table 4 shows the pain classification according to the VAS scale. In the immediate postoperative period, after the patient recovered from anesthesia, 75 individuals (93.7%) were classified as VAS I and 5 patients as VAS II. At 24 h after the operation, 19 patients (23.7%) were classified as VAS I, 50 (62.5%) as VAS II, 7 patients as VAS III, and 4 as VAS IV. In the first week postoperative consultation, 52 patients (65.0%) were classified as VAS I and 15 as VAS II, and two patients with moderate pain (VAS V) appeared in this period. At 15 days after surgery, 69 patients (86.3%) were VAS I and at one month 73 (91.3%) were. The incorporation to the usual activities, including work, was of 3 patients (3.7%) a week after the operation, after 15 days there were 23 patients (28.7%) and at month 54 patients, for 67, 5% of the total.

Table 4: Evaluatión of the Visual Analog Scale (VAS) [6].

VAS

Inmediate preoperative

First day First week 15 Days

First month

Vas I

75 (93,7%)

19 (23,7%) 52 (65,0%) 69 (86,3%)

73 (91,3%)

VAS II

54 (6,3%)

50 (62,5%) 15 (18,7%) 11 (13,7%)

VAS III

7 (8,7%) 5 (6,3%)

VAS IV

4 (5,1%) 4 (5,0%)

7 (8,7%)

VAS V

4(5,0%)

Discussion

Currently, with the improvement of laparoscopic techniques, inguinal hernia surgery is emerging as safe, feasible and as a good therapeutic option, regardless of the age of the patient; However, the preoperative evaluation of the individual must be correct and thorough, specifically the cardiorespiratory function, since with the TEP method a working space is created between the sheets of the transverse lamina, richly vascularized, so that the absorption and elimination of the CO2 is greater than that produced in the peritoneal cavity during pneumoperitoneum [5-7].

Although men predominated, there was a slight increase in women in the series with respect to other authors [8] In laparoscopic practice, the finding of hernial defects diagnosed during the intraoperative period is frequent, in men and women, the latter essentially with a history gynecological disorders.

Although the usefulness of hernia repairs in asymptomatic patients is questioned in some articles, the authors consider that it would be beneficial for the patient, if conditions permit, to repair the hernial defect by the TAPP method [9].

The relationship between hernial disease and physical exertion has been classic since Cooper’s time. In the series, 68% of the patients performed physical activities that involved great and medium efforts and also analyzing the multifactorial nature in the pathogenesis of hernia disease, it is striking that approximately half of the operated patients were smokers, a factor that influences in collagen metabolism, significantly linked to hernia recurrences [10].

Most of the repairs were by means of the TEP technique and we consider, like other authors, that although the TAPP technique brings us closer to the area from a perspective familiar to the surgeon (peritoneal cavity) and facilitates the so-called “learning curve”; Hernia disease – because it is considered a parietal defect- should be given a solution from this same plane, to avoid the probability of serious complications of the intra-abdominal organs and to leave the transperitoneal method as a tactical resource when the totally extraperitoneal method is unsuccessful [11].

Average surgical time was similar to other series [12]. It is known that this tends to decrease when the surgical team gains in experience. The longest operating time recorded was in a patient, who started with a PET technique, but due to technical difficulties, he was converted to a conventional posterior repair.

The main complications were related to minor intraoperative bleeding and postoperative hematomas. In 3 patients it was necessary to drain the hematoma due to the discomfort caused, however, in the rest of the patients with hematomas and seromas they were treated with conservative measures. In two patients, recurrence occurred 2 months after the operation, which was interpreted as a technical error [13,14].

Our results coincide with numerous studies that affirm less postoperative pain with the use of minimal access techniques, as well as a prompt socio-occupational reincorporation of patients [1,3,9,15] Despite the fact that 70% and 93.3% of the patients at 1 week and 15 days after surgery, respectively, had no pain or minimal discomfort; only 18 individuals (30%) started their usual activities before 15 days. These results contrast with other studies that report a return to work and social activities between 10-15 days postoperatively, although it is likely that some sociocultural factors are influencing these results [1,16].

In the series there were no major intraoperative or postoperative complications, only minor bleeding and bruising. In most of the patients, before 2 weeks postoperatively, the pain disappeared, however, the return to social work activities after 15 days was low.

Conclusions

Laparoscopic inguinal hernioplasty was an effective therapeutic option, especially for patients with bilateral and reproduced hernias. It provided benefits to patients and families, the former joining work and social activities early.

Conflicts of Interest

The authors do not declare any conflicts of interest.

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