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. 2019 Nov 17;7(11):104. doi: 10.3390/medsci7110104

Multi-Antibiotic Resistance and Factors Affecting Carriage of Extended Spectrum β-Lactamase-Producing Enterobacteriaceae in Pediatric Population of Enugu Metropolis, Nigeria

Angus N Oli 1,*, Vitalis I Ogbuagu 1, Chika P Ejikeugwu 2, Ifeanyichukwu R Iroha 2, Malachy C Ugwu 1, Chijioke M Ofomata 3, Kenneth N Okeke 4, George O Emechebe 5, Jude C Okoro 6, Chukwudi O Okani 7, Stanley K Onah 4
PMCID: PMC6915503  PMID: 31744239

Abstract

Extended-spectrum β-lactamase (ESBL)-producing organisms have become a serious challenge in healthcare delivery globally. The prevalence of ESBL carriage in healthy and sick children in Enugu, Nigeria, was bacteriologically investigated in this study. Four hundred and twenty-two biological samples (mid-stream urine and feces) were bacteriologically analyzed. The isolates were screened for ESBL production using Clinical and Laboratory Standards Institute (CLSI) breakpoints. The suspected ESBL producers were confirmed using double disc synergy test method. Out of the 162 isolates screened, 32 (19.8%) were confirmed as ESBL positive, with a prevalence of 25.32% among sick children in Enugu State University Teaching Hospital (ESUTH), Parklane, Enugu and 13.89% in apparently healthy children in a community setting. Klebsiella spp. and Escherichia coli had the highest prevalence of 34.6% and 28.6%, respectively; Citrobacter spp. and Enterobacter spp. were 18.2% and 16.7%, respectively. The ESBL positive isolates were resistant to sulfamethoxazole/trimethoprim (100%), tetracycline (100%), kanamycin (96.9%), nitrofurantoin (84.4%), ciprofloxacin (68.6%), and chloramphenicol (62.5%) but susceptible to meropenem (100%), colistin (56.3%), and gentamicin (50%). Klebsiella spp. had the highest ESBL occurrence among sick children while E. coli had the highest ESBL occurrence among healthy children in Enugu. All ESBL-positive isolates were multiply resistant to conventional antibiotics. The emergence and spread of β-lactamase-producing Enterobacteriaceae in hospital and community environments highlight the possibility for an infection outbreak if not checked.

Keywords: ESBL, Enterobacteriaceae, gram-negative bacteria, antibiotic resistance, childhood infections

1. Introduction

Antimicrobial resistance has been identified as one of the greatest threats to human health, and developing countries like Nigeria are worst hit by this crisis [1]. The major cause of this crisis is the indiscriminate and widespread use of antimicrobial agents [2], especially antibiotics containing a β-lactam ring, in prophylaxis and the treatment of bacterial diseases [3]. The misuse and abuse of β-lactam antibiotics has led to antibiotic selective pressure and the development of resistance to these drugs by most bacteria, particularly the Enterobacteriaceae, of which β-lactamase production remains the most important contributing factor to this resistance [4,5]. Extended-spectrum β-lactamases (ESBLs) have the extended ability to hydrolyze and cause resistance to various types of the newer β-lactam antibiotics, such as the expanded-spectrum cephalosporins and monobactams [6,7]. Some β-lactamases, like CTX-M and PER, are natural ESBLs, while other enzymes, such as TEM and SHV variants, acquire single or multiple amino acid substitutions/changes that extend their spectrum to cephalosporins [6,8]. The rapid emergence of ESBL-producing Enterobacteriaceae has drawn global attention because they are important causative agents of hospital infections typically associated with pneumonia, urinary tract infections, bacteremia, and other intra-abdominal infections [9,10]. The spread of these ESBLs has posed a threat to health, including hindering effective treatment, prolonged hospitalization, and increased treatment costs [10]. These have necessitated the need for extensive peer review research on ESBLs and increased awareness campaign on antimicrobial resistance, most especially in developing countries like Nigeria, where there is no or less surveillance activity and regulations guiding the use of antibiotics. In Nigeria, there are no previous studies and reports on the prevalence of ESBL-producing Enterobacteriaceae (ESBL-PE) in children. This study is imperative as it is poised to provide information on the prevalence of ESBL-PE in both healthy and sick children in Enugu Metropolis and highlights the resistance patterns of these organisms to non-β lactam antibiotics. It also reveals possible risk factors to the spread of these organisms in hospital or community settings and highlights the best-practice infection control measures and appropriate choice of empirical antimicrobial coverage for ESBL infections in this population. This is critical for better defining the prevalence and characterization of risk factors to ESBL-producing Enterobacteriaceae in children, in order to adopt infection control best-practice measures and help in the appropriate choice of empirical antimicrobial coverage for ESBL infections in this population. This study therefore sought to bridge these gaps in knowledge.

2. Materials and Methods

2.1. Patients

A total of 422 clinical samples (mid-stream urine and feces) were collected and this comprised 233 samples from sick children from Enugu State University Teaching Hospital (ESUTH) and 105 samples from healthy school children in Abakpa and 84 samples from healthy school children in Emene, after permission had been sought for and obtained from the authorities of the schools and informed consent obtained from the guardians of these children. The study protocol was approved by the Ethical Committee of ESUTH (Approval number: ESUTHP/C-MAC/RA/034/177) and signed on 24 March 2017

2.2. Isolation

The clinical specimens were inoculated on MacConkey agar plates and incubated at 37 °C for 24 h. Biochemical characterization of the isolates was achieved by subjecting them to biochemical tests for identification and differentiation of members of the Enterobacteriaceae according to the method of Tille [11].

2.3. ESBL Screening Test

ESBL screening test of the isolates were determined using the Kirby–Bauer disc diffusion method according to The Clinical & Laboratory Standards Institute (CLSI) performance standards for antimicrobial disc susceptibility tests [12] using aztreonam (30 µg), cefepime (30 µg), cefotaxime (30 µg), cefoxitin (30 µg), ceftazidime (30 µg), and ceftriaxone (30 µg).

2.4. Double Disc Synergy Test

All isolates that were resistant to any of the β-lactam antibiotics were screened for ESBL production using the Double Disc Synergy Test (DDST). Suspensions of the isolates equivalent to 0.5 McFarland equivalent standards were streaked on the surface of a sterile Mueller Hinton agar plates, according to CLSI performance standards for antimicrobial disc susceptibility tests [12]. After 25 min of pre-incubation, combination discs of 20 µg amoxicillin/10 µg clavulanic acid (Oxoid, Wade Road, Basingstoke, Hampshire, RG24 8PW, UK) were be placed at the center of the plates and 30 µg ceftazidime/30 µg cefotaxime discs (Oxoid, UK) were placed 15 mm apart from the center discs and incubated at 37 °C for 18 h. The isolates, whose zone around the test antibiotic discs increased towards the center disc (amoxicillin 20 µg/clavulanic acid 10 µg), were considered to be positive for ESBL production.

2.5. Susceptibility Test of Isolates to Non-β-Lactam Antibiotics

The susceptibility of the ESBL positive isolates to non-β lactam antibiotics from different classes of antibiotics were determined using the Kirby–Bauer disc diffusion method, according to CLSI performance standards for antimicrobial disc susceptibility tests [12]. The isolates were challenged with the following different classes of antibiotics (Oxoid, UK): amikacin (30 µg), chloramphenicol (30 µg), ciprofloxacin (5 µg), colistin sulfate (25 µg), gentamicin (30 µg), kanamycin (5 µg), meropenem (10 µg), nitrofurantoin (300 µg), tetracycline (30 µg), and sulfamethoxazole/trimethoprim (25 µg). Their inhibitory zone diameters were interpreted as susceptible (S), intermediate (I), or resistant (R), according to the zone diameter breakpoints of the performance standards of antibiotic susceptibility testing of CLSI [12].

2.6. Multiple Antibiotic Resistance Index

The multiple antibiotic resistance index is calculated as the ratio of the number of antibiotics to which the isolates were resistant to the total number of antibiotics against which the isolates were tested (a/b). Multiple antibiotic resistance index (MARI) values greater than 0.2 (20%) were considered a high-risk source of contamination where antibiotics are often used, as described in previous reports [13,14].

2.7. Statistical Data Analysis

Data analysis was conducted using GraphPad Prism version 5.00 for Windows (GraphPad Software, Inc., San Diego, CA, USA). Descriptive data analysis of the characteristics of the study participant was conducted to evaluate the characteristics of the study participants in relation to ESBL-PE carriage rate or colonization frequency. Chi-square test was used to describe the carriage of Enterobacteriaceae in the urine and fecal samples of the children in the hospital and community setting and in highlighting possible risk factors.

3. Results

A total of 422 biological samples were collected out of which 233 (55.21%) came from ESUTH (hospital environment) while 189 (44.79%) came from community (Table 1).

Table 1.

The distribution of samples used for this study.

Setting Location Number of Specimen Used
Urine, N (%) Feces, N (%) Total, N (%)
Hospital ESUTH (sick children) 128 (30%) 105 (25%) 233 (55%)
Community Abakpa (apparently healthy children) 58 (14%) 47 (11%) 105 (25%)
Emene (apparently healthy children) 46 (11%) 38 (9%) 84 (20%)

Note: ESUTH = Enugu State University Teaching Hospital.

Of the 233 samples from ESUTH, 79 (33.91%) were positive for Enterobacteriaceae in the hospital while out of the 189 samples from community setting, 108 (57.14%) had Enterobacteriaceae carriage either in their urine of feces (Table 2).

Table 2.

Extended-spectrum β-lactamase (ESBL) confirmatory testing of the Enterobacteriaceae isolates.

Enterobacteriaceae Isolates ESUTH (Hospital Setting) Abakpa/Emene (Community Setting)
Positive for ESBL Negative for ESBL Total Positive for ESBL Negative for ESBL Total
Citrobacter spp. 2 9 11 0 12 12
Enterobacter spp. 1 5 6 0 4 4
Escherichia coli 8 20 28 8 28 36
Klebsiella spp. 9 15 24 4 17 21
Proteus spp. 0 7 7 0 7 7
Serratia spp. 0 3 3 3 25 28
Total 20 59 79 15 93 108

Note: ESBL = Extended-spectrum β-lactamase.

From Table 2 also, the chi-square test for carriage of Enterobacteriaceae in the urine and fecal samples of the children in the hospital and community setting revealed a significant difference, with a p-value of 0.0033 and chi-square, degrees of freedom (df) = 17.73, 5. With a total of 79 Enterobacteriaceae isolates in a hospital setting, the prevalence of ESBL-producing Enterobacteriaceae isolates was 25.32%, while in the community setting, the prevalence was much lower (13.89%). The chi-square test for trend (chi-square, df = 0.02790, 1) showed that there were equal chances of occurrence of ESBL and non-ESBL isolates in the hospital (p = 0.8674). The same was also true in community setting (chi-square, df = 0.003946, 1 and p = 0.9499). The chi-square for trend for ESBL positivity in Hospital versus Community (chi-square, df = 3.273, 1) showed no significant difference (p = 0.0704). This implies that the trend of ESBL-producing Enterobacteriaceae is equal in both settings.

In ESUTH, a total of 233 sick children participated in the study (Table 3), of which 114 were males and 119 were females. As many as 20 children representing 8.58% were ESBL-PE carriers. Males had a higher ESBL-PE colonization frequency than females, although this was not significantly different (p > 0.05). Chi-square analysis of the risk factors associated with Enterobacteriaceae carriage among the sick children in ESUTH showed that of all the possible risk factors/covariates considered, the source of drinking water and non-practice of regular hand washing were the only factors associated with the infection with p < 0.0001 and p = 0.0067, respectively. Considering ESBL-PE carriage no risk factors were found.

Table 3.

Survey of risk factors associated with ESBL-producing Enterobacteriaceae (ESBL-PE) carriage in sick children in ESUTH.

Covariates (ESBL-NPE = ESBL Non-Producing Enterobacteriaceae) Prevalence
Total Sampled
N (%)
233 (100%)
Enterobacteriaceae Positive N (%)
81 (34.76)
Enterobacteriaceae Negative N (%) 152 (65.24) ESBL-PE
N (%)
20 (8.58)
ESBL-NPE
N (%)
61 (26.18)
ESBL-PE Colonization Frequency %
Age (years) 0–5 101 (43.35) 34 (33.66) 67 (66.34) 6 (5.94) 28 (27.72) 17.6% (6/34)
6–10 88 (37.77) 28 (31.82) 60 (68.18) 10 (11.36) 18 (20.45) 35.7% (10/28)
11–15 44 (18.88) 19 (43.18) 25 (56.82) 4 (9.09) 15 (34.09) 21.1% (4/19)
Gender Male 114 (48.93) 39 (34.21) 75 (65.79) 11 (9.65) 28 (24.56) 28.2% (11/39)
Female 119 (51.07) 42 (35.29) 77 (64.71) 9 (7.56) 33 (27.73) 21.4% (9/42)
Type of school Private 136 (58.37) 30 (22.06) 106 (77.94) 5 (3.68) 25 (18.38) 16.7% (5/30)
Public 97 (41.63) 51 (52.58) 46 (47.42) 15 (15.46) 37 (38.144) 29.4% (15/51)
Stage in school Daycare 35 (15.02) 15 (42.86) 20 (57.14) 2 (5.71) 13 (37.14) 13.3% (2/15)
Nursery 68 (29.18) 40 (58.82) 28 (41.18) 10 (14.71) 30 (44.12) 25% (10/40)
Primary 130 (55.79) 26 (20.00) 104 (80.00) 8 (6.15) 18 (13.85) 30.8% (8/26)
Who normally prescribed antibiotics given to the child? Doctors 63 (27.03) 22 (34.92) 41 (65.08) 3 (4.76) 19 (30.16) 13.6% (3/22)
Pharmacists 25 (10.73) 12 (48.00) 13 (52.00) 1 (4.00) 11 (44.00) 8.3% (1/12)
PPMD* 145 (62.23) 47 (32.41) 98 (67.59) 16 (11.03) 31 (21.38) 38.1% (16/42)
Hospital admission in the last 3–6 months Yes 77 (33.04) 33 (42.86) 44 (57.14) 15 (19.48) 18 (23.38) 45.5% (15/33)
No 156 (66.95) 48 (30.77) 108 (69.23) 5 (3.21) 43 (27.56) 10.4% (5/48)
Share public toilet at home Yes 48 (20.60) 21 (43.75) 27 (56.25) 3 (6.25) 18 (37.50) 31.4% (11/35)
No 36 (15.45) 6 (16.67) 30 (83.33) 0 (0.00) 6 (16.67) 19.7% (9/46)
Practice of regular hand washing Yes 85 (36.48) 20 (23.53) 65 (76.47) 3 (3.53) 17 (20.00) 15% (3/20)
No 148 (63.52) 61 (41.22) 87 (58.78) 17 (11.49) 43 (29.05) 27.9% (17/61)
Source of water supply at home Tap 84 (86.05) 9 (10.71) 75 (89.29) 1 (1.19) 8 (9.52) 11.1% (1/9)
Well 117 (50.21) 53 (45.30) 64 (54.70) 16 (13.68) 37 (31.62) 30.2% (16/53)
Bore-hole 32 (13.73) 19 (59.38) 13 (40.63) 3 (9.38) 16 (50.00) 15.8% (3/19)
River 0 (0.00) 0 (0.00) 0 (0.00) 0 (0.00) 0 (0.00) 0.0%
Type of nutrition Breast milk 29 (12.45) 8 (27.59) 21 (72.41) 0 (0.00) 8 (27.59) 0.0%
Dairy food 37 (15.88) 19 (51.35) 18 (48.65) 7 (18.92) 12 (32.43) 36.8% (7/19)
Household food 167 (71.67) 54 (32.34) 113 (67.66) 13 (7.78) 41 (24.55) 24.1% (13/54)

PPMD* = Patent and Proprietary Medicine Dealer. They are also called private patent medicine vendors. They include individuals not possessing any degree in pharmacy but sell standard health care pharmaceutical and medical products to the public for the purpose of making profit.

In the community setting (Table 4), the risk factors associated with Enterobacteriaceae carriage included stage in school (daycare, nursery, and primary) with p = 0.0128, source of drinking water with p = 0.0001, and school type (public versus private schools) with p = 0.0004. The risk factors for ESBL-PE carriage were indeterminate. The bivariate analyses of the covariates in Enterobacteriaceae and ESBL-PE carriage in sick and healthy children revealed no significant risk.

Table 4.

Survey of risk factors associated with ESBL-PE carriage among the apparently healthy children.

Covariates [ESBL-NPE = ESBL Non-Producing Enterobacteriaceae] Prevalence
Total Sampled
N (%) 189 (100%)
Enterobacteriaceae Positive N (%) 81 (42.86) Enterobacteriaceae Negative N (%) 108 (57.14) ESBL-PE
N (%) 12 (6.34)
ESBL-NPE
N (%) 69 (75.31)
ESBL-PE Colonization Frequency (6.88%)
Age (years) 0–5 51 (26.98) 28 (54.90) 23 (45.10) 3 (10.71) 25 (89.29) 5.88
6–10 102 (53.96) 39 (20.63) 63 (61.76) 7 (17.95) 32 (82.05) 6.86
11–15 36 (19.05) 14 (7.41) 22 (61.11) 2 (14.29) 12 (85.71) 5.56
Gender Male 81 (42.86) 38 (20.11) 43 (53.09) 7 (18.42) 31 (81.58) 8.64
Female 108 (57.14) 43 (22.75) 65 (60.19) 5 (11.63) 38 (88.37) 4.63
Type of school Private 99 (52.38) 30 (15.87) 69 (69.70) 3 (10.00) 27 (90.00) 3.03
Public 90 (47.62) 51 (26.98) 39 (43.33) 9 (17.65) 42 (82.35) 10.00
Stage in school Daycare 34 (17.99) 7 (3.70) 27 (79.41) 0 (0.00) 7 (100.00) 0.00
Nursery 51 (26.98) 26 (13.76) 25 (49.02) 3 (11.54) 23 (88.46) 5.88
Primary 104 (55.03) 48 (25.40) 56 (53.85) 9 (18.75) 39 (81.25) 8.65
Who normally prescribed antibiotics given to the child? Doctors 30 (15.87) 5 (2.65) 25 (83.33) 0 (0.00) 5 (100.00) 0.00
Pharmacists 14 (7.41) 3 (1.59) 11 (78.57) 0 (0.00) 3 (100.00) 0.00
PPMD 145 (76.72) 73 (38.64) 72 (49.66) 12 (16.44) 61 (84.62) 8.28
Hospital admission in the last 3–6 months Yes 36 (19.05) 13 (6.89) 23 (63.89) 1 (7.69) 11 (84.62) 2.78
No 153 (80.95) 68 (35.98) 85 (55.56) 11 (16.18) 57 (83.82) 7.19
Share public toilet at home Yes 89 (47.09) 50 (26.46) 39 (43.82) 9 (18.00) 41 (82.00) 10.11
No 100 (52.91) 31 (16.40) 69 (69.00) 3 (9.68) 28 (90.32) 3.00
Practice of regular hand washing Yes 48 (25.40) 12 (6.35) 36 (75.00) 1 (8.33) 11 (91.67) 2.08
No 141 (74.60) 69 (36.51) 72 (51.06) 11 (15.94) 58 (84.06) 7.80
Source of water supply at home Tap 27 (14.29) 2 (1.06) 25 (92.59) 0 (0.00) 2 (100.00) 0.00
Well 142 (75.13) 72 (38.10) 70 (49.30) 12 (16.67) 60 (83.33) 8.45
Bore-hole 20 (10.58) 7 (3.70) 13 (65.00) 0 (0.00) 7 (100.00) 0.00
River 0 (0.00) 0 (0.00) 0 (0.00) 0 (0.00) 0 (0.00) 0.00
Type of nutrition Breast milk 0 (0.00) 0 (0.00) 0 (0.00) 0 (0.00) 0 (0.00) 0.00
Dairy food 24 (12.70) 5 (2.65) 19 (79.17) 2 (40.00) 3 (60.00) 8.33
Household food 165 (87.30) 76 (40.21) 89 (53.94) 10 (13.16) 66 (86.84) 6.06

The ESBL-producing Enterobacteriaceae (ESBL-PE) isolates showed high resistance (Table 5) to tetracycline, co-trimoxazole, nitrofurantoin, and kanamycin. However, they showed average susceptibility to colistin and gentamicin. The 100% susceptibility of the ESBL-PE isolates to meropenem was noted in this study. Two-way ANOVA of the isolate susceptibilities to the used drugs showed that they were significantly resistant (p = 0.0163). Also, all the ESBL-PE isolates had a MARI greater than 0.2 (20%) giving an incidence of multi-antibiotic resistance strains of 100% (Table 6).

Table 5.

Overall antibiogram of all the ESBL-PE isolates.

Antibiotics Susceptible Intermediate Susceptible Resistant Total
Meropenem (10 µg) 32 0 0 32
Amikacin (30 µg) 11 19 2 32
Colistin Sulfate (25µg) 18 0 14 32
Gentamicin (30 µg) 16 1 15 32
Chloramphenicol (30 µg) 10 2 20 32
Ciprofloxacin (5 µg) 7 3 22 32
Nitrofurantoin (300 µg) 5 0 27 32
Kanamycin (5 µg) 0 1 31 32
Tetracycline (30 µg) 0 0 32 32
Co-trimoxazole (25 µg) 0 0 32 32

Table 6.

Overall multi-antibiotic resistance index (MARI) of all the ESBL-producing Enterobacteriaceae (ESBL-PE) isolates.

Setting From Sick Children From Healthy Children
Isolates Number Number of Antibiotics Isolates Were Resistant to (a) MARI (a/b) % MARI Number of Antibiotics Isolates Were Resistant to MARI (a/b) % MARI
Citrobacter spp. (n = 2)
1 7 0.70 70
2 6 0.60 60
Enterobacter spp. (n = 1)
1 5 0.5 50
Escherichia coli (n = 8) Escherichia coli (n = 8)
1 7 0.70 70 4 0.40 40
2 7 0.70 70 5 0.50 50
3 3 0.30 30 6 0.60 60
4 8 0.80 80 4 0.40 40
5 7 0.70 70 7 0.70 70
6 6 0.60 60 6 0.60 60
7 6 0.60 60 7 0.70 70
8 5 0.50 50 7 0.70 70
Klebsiella spp. (n = 9) Klebsiella spp. (n = 4)
1 8 0.80 80 5 0.50 50
2 6 0.60 60 6 0.60 60
3 6 0.60 60 7 0.70 70
4 7 0.70 70 5 0.50 50
5 8 0.80 80
6 4 0.40 40
7 7 0.70 70
8 6 0.60 60
9 6 0.60 60

Note: (a) = Number of Antibiotics Isolates were Resistant to while (b) = Total Number of Antibiotics Used/tested = 10.

4. Discussion

Several studies have demonstrated the prevalence of ESBL-producing Enterobacteriaceae in many parts of the world [15,16], and a number of individual reports are available in Nigeria [17,18,19]. This study was undertaken to bridge the gap on the paucity of data on the prevalence of ESBL-producing Enterobacteriaceae in a purely pediatric population in this part of the world. The overall prevalence of ESBL-PE among sick children in ESUTH was 8.58%, whereas in healthy children, it was 6.34%. This shows that the ESBL-PE carriage rate was slightly higher among the sick children compared to the healthy children, and this may be as a result of higher prevalence and dissemination of ESBL pathogens in hospital settings as reported in various studies [17,20,21]. The overall ESBL-PE prevalence of 6.34% among healthy children in community setting is lower than what was reported in healthy community Tanzanian (11.2%) and Libyan children 13.4% [22,23]. However, our report showed a higher than prevalence in healthy Portuguese (2.7%), Swedish (2.9%), French (4.6%) children [24]. Our report also showed much lower prevalence than that of 23% in Lao preschool children, 24.8% in healthy Lebanese children, and 59% in healthy Banguian children, Central African Republic [25,26,27]. The observed 8.58% prevalence of ESBL-PE among sick children in ESUTH is much lower when compared to the prevalence of 31% found in hospitalized children in Niger and 32.6% recorded in Guinea-Bissau [28,29]. Out of all the ESBL-PE isolates from sick children in ESUTH, Klebsiella spp. and Escherichia coli had the highest prevalence of 34.6% and 28.6% respectively, compared to Citrobacter spp. with 18.2% and Enterobacter spp. with 16.7%. Although, it has been said to be difficult to make valid comparison of the prevalence of ESBLs because of the variation in study design [30], the findings from this study are comparable to the work of Yahaya et al. [31], which recorded an ESBL prevalence of 23.8% and 30% for E. coli and Klebsiella spp., respectively, among sick individuals in Maiduguri Teaching Hospital, Nigeria. Previous studies from Nigeria, although not specifically focused on children, have reported ESBL production in Klebsiella spp., E. coli, Enterobacter spp., and Citrobacter spp. from hospital settings and from 2003 to 2017, the rate varied from 6% to 87% [17,32,33,34]. The high ESBL prevalence detected in Klebsiella spp. compared to Escherichia coli is in agreement with the findings of some of these studies in Nigeria. The reason for high ESBL prevalence in Klebsiella spp. could be connected with the fact that Klebsiella spp. tend to be more associated with nosocomial infections than E. coli, hence it has more chance to acquire multidrug resistance plasmids and disseminate more in the hospital settings [35,36]. Our findings showed that all the ESBL-PE isolates were resistant to multiple antibiotics, suggesting an incidence of multi-antibiotic resistance strains of 100%. This points to poor compliance to antibiotic policy, high use or misuse of antibiotics, high rate of transfer of multi-drug resistant plasmids from species to species, clonal dissemination of ESBL-PE from patients to patients in the hospital settings and to healthy individuals in the community (that serve as reservoirs of these pathogens) and emerging of new strains of community-acquired ESBL-producing Enterobacteriaceae. Our study showed that colistin resistance was as high as 43.75%, contrary to known resistance rates to polymyxins, which are generally between 10% and 23% [37,38]. Colistin-resistant organisms had been postulated to spread from animals to human [39,40,41,42], suggesting the concept of one health. Observational studies have shown that polymyxins are used profusely in animal feed in the community to enhance growth. The observed high resistance to colistin in our study calls for caution and regulation in such unlicensed/off-label use of antibiotics. Colistin resistance among ESBL-producing Enterobacteriaceae is becoming a public health concern and is postulated to be due to the plasmid-borne mcr-1 gene [38,42,43].

Therefore, for effective treatment of ESBL infections, empirical antibiotic regimens should be selected based on individual antibiogram. There is need for a multifactional approach combining continued research, prudent use of antibiotics, effective ESBL infections control measures and rapid detection of ESBL-producing organisms in routine clinical laboratory in order to contain the emergence and spread of ESBL-producing Enterobacteriaceae in the human population.

The source of drinking water, non-practice of regular hand washing, the stage in school (daycare, nursery, and primary), and school type (public versus private schools) were the common factors associated with Enterobacteriaceae infections in this study. Previous studies [44,45] have observed that demographic variables and comorbid conditions predisposed patients to carbapenemase-producing Enterobacteriaceae infections. Also, clean water has been claimed to be the most important public health intervention strategy, followed by vaccination, in promoting both individual and global health [46,47]. This study therefore calls for the need to control infectious diseases through the regular and timely provision of clean drinking water. Also important in infection control is the continuous and consistent adoption of hygienic practices [48] and mass education through all available public and social media as well as regular hand washing.

5. Conclusions

The prevalence of ESBL-producing bacteria was higher in sick children compared to healthy children in Enugu. Klebsiella spp. had the highest ESBL occurrence among sick children while E. coli had the highest ESBL occurrence among healthy children in Enugu. All the ESBL positive isolates were multiply resistant to conventional antibiotics. Meropenem proved to be the drug of choice in the management of infections caused by isolates in both community and hospital settings.

Acknowledgments

Authors hereby acknowledge the various supports given the authorities of the schools from where the children were recruited, the guardians of these children and the management of ESUTH. We also wish to express gratitude to the peer reviewers that concertedly assisted in improving the final quality of this manuscript.

Author Contributions

A.N.O. and I.R.I.: conceptualization and design; V.I.O.: investigations; C.P.E.: writing—original draft preparation; A.N.O.: writing—original draft preparation and data analysis; M.C.U., C.O.O. and S.K.O.: writing—review and editing; K.N.O.: Data curation; G.O.E., C.M.O. and J.C.O.: literature search

Funding

This research received no external funding

Conflicts of Interest

The authors declare no conflict of interest.

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