| Literature DB >> 34103951 |
Atnafu Bushen1, Eyob Tekalign2, Mengistu Abayneh2.
Abstract
BACKGROUND: In Ethiopia, the precise attribution of animals and their food products as the sources of resistant strains and the consequences of it on human health have not yet been seriously evaluated. Therefore, the aim of this study was to assess the drug- and multidrug-resistance pattern of Enterobacteriaceae isolated from chicken droppings at Jimma University poultry farm, College of Agriculture and Veterinary Medicine, southwest of Ethiopia.Entities:
Keywords: Enterobacteriaceae; Ethiopia; chicken droppings; drug- and multidrug-resistance
Year: 2021 PMID: 34103951 PMCID: PMC8180262 DOI: 10.2147/IDR.S312185
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Figure 1The proportions of bacterial isolates from chicken droplets.
Summary of Activities Done by Chicken Attendants at Jimma University Poultry Farm
| Activities Checked | Responses |
|---|---|
| Having formal education or short course training certificate on how to keep chickens | None of them |
| Regular cleaning of chicken droppings | In every 2 to 3 days |
| Giving antibiotics as growth promotion and disease prevention | Regularly given |
| Timely isolation and separation of diseased chickens | Sometimes |
| Living condition/space | Crowded |
| Contact of feeds with chicken droppings | Frequently contacted |
| Whether chickens are exotics and/or endogenous | Both |
Antibiotic Resistance Pattern of the Bacterial Isolates
| Bacterial Isolates | Number of Strains Resistant to the Tested Antibiotics N (%) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| AMP | AMC | AMS | CRO | CAZ | FOX | CN | CIP | TET | SXT | CHL | |
| 22 (91.7) | 16 (66.7) | 16 (66.7) | 10 (41.7) | 9 (37.5) | 14 (58.3) | 5 (20.8) | 5 (20.8) | 18 (75.0) | 17 (70.8) | 13 (54.2) | |
| 12 (85.7) | 9 (64.3) | 8 (57.1) | 5 (35.7) | 4 (28.6) | 8 (57.1) | 4 (28.6) | 3 (21.4) | 11 (78.6) | 11 (78.6) | 7 (50.0) | |
| 10 (83.3) | 7 (58.3) | 7 (58.3) | 4 (33.3) | 4 (33.3) | 6 (50.0) | 4 (33.3) | 3 (25.0) | 10 (83.3) | 9 (75.0) | 7 (58.3) | |
| 9 (81.8) | 6 (54.5) | 6 (54.5) | 4 (36.4) | 4 (36.4) | 7 (63.6) | 4 (36.4) | 3 (27.3) | 8 (72.7) | 8 (72.7) | 5 (45.5) | |
| Total R [N (%)] | 52 (83.9) | 38 (61.3) | 37 (59.7) | 23 (37.1) | 21 (33.9) | 35 (56.4) | 17 (27.4) | 14 (22.6) | 46 (74.2) | 44 (71.0) | 32 (51.6) |
Abbreviations: AMP, ampicillin; AMC, amoxicillin-clavulanic acid; CAZ, ceftazidime; CRO, ceftriaxone; AMS, ampicillin-sulbactam; SXT, sulfamethoxazole-trimethoprim; TET, tetracycline; CIP, ciprofloxacin; CN, gentamicin; FOX, cefoxitin; CHL, chloramphenicol; MEM, meropenem
Multidrug-Resistance (MDR) Pattern of the Bacterial Isolates
| Profiles of Antibiotics Resistance | MDR Bacterial spp. N (%) | ||||
|---|---|---|---|---|---|
| Total MDR N (%) | |||||
| AMP, AMS, AMC, TET | 9 (37.5%) | 5 (38.5%) | 4 (33.3%) | 3 (33.3%) | |
| AMP, AMC, CRO, CAZ, SXT, TET | 7 (29.2%) | 4 (28.6%) | 3 (25.0%) | 3 (33.3%) | |
| AMP, AMS, AMC, FOX, CN, SXT, TET | 4 (16.7%) | 2 (15.4%) | 2 (16.7%) | 1 (11.1%) | |
| AMP, AMC, CAZ, FOX, CIP, CHL, SXT, TET | 2 (8.3%) | 2 (15.4%) | 1 (8.3%) | 1 (11.1%) | |
| Total MDR N (%) ≥3 antibiotic classes | |||||
Abbreviations: AMP, ampicillin; AMC, amoxicillin-clavulanic acid; CAZ, ceftazidime; CRO, ceftriaxone; AMS, ampicillin-sulbactam; SXT, sulfamethoxazole-trimethoprim; TET, tetracycline; CIP, ciprofloxacin; CN, gentamicin; FOX, cefoxitin; CHL, chloramphenicol.