ArticlePloS one2020
Phenotypical antimicrobial resistance data of clinical and non-clinical Escherichia coli from poultry in Germany between 2014 and 2017.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 18 citations in OpenAlex.
- Antibiotic susceptibility and resistance genes in Escherichia coli from broilers reared in a low-antibiotic-use production system.Poultry science · 2026Article
- Antibiotic Resistance of Profiles ofVeterinary medicine international · 2026Article
- Antimicrobial Resistance in SelectedAntibiotics (Basel, Switzerland) · 2025Review
- Antimicrobial Susceptibility Profiles ofAntibiotics (Basel, Switzerland) · 2025Article
- Antimicrobial Susceptibility Profiles of CommensalAntibiotics (Basel, Switzerland) · 2025Article
- Antimicrobial Susceptibility Profiles ofAntibiotics (Basel, Switzerland) · 2025Article
- Tetracycline Resistance amongIranian journal of public health · 2025Review
- Bacteriophages Against Bacterial Infections in Poultry Systems: A Scientometric Review.PHAGE (New Rochelle, N.Y.) · 2024Review
- Antimicrobial consumption and resistance in bacteria from humans and food-producing animals: Fourth joint inter-agency report on integrated analysis of antimicrobial agent consumption and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals in the EU/EEA JIACRA IV - 2019-2021.EFSA journal. European Food Safety Authority · 2024Article
- Article
- Epidemiology and zoonotic transmission ofFrontiers in microbiology · 2023Article
- Worldwide Prevalence ofPathogens (Basel, Switzerland) · 2022Review
- Environmental factors associated with the prevalence of ESBL/AmpC-producingFrontiers in veterinary science · 2022Article
- Comparison of Consumption Data and Phenotypical Antimicrobial Resistance inAntibiotics (Basel, Switzerland) · 2021Article
- Comparison of Phenotypical Antimicrobial Resistance between Clinical and Non-ClinicalMicroorganisms · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial resistance (AMR) is a global threat in humans and animals, and antimicrobial usage (AMU) has been identified as a main trigger of AMR. The purpose of this work was to compare data on AMR in clinical and non-clinical isolates of Escherichia coli in German broilers and turkeys between 2014 and 2017. Furthermore, we investigated AMR changes over time and the association of changes in AMU with changes in AMR. Data on clinical and non-clinical isolates together with data on therapy frequency of broilers and turkeys were collected from German monitoring systems. Logistic regression analyses were performed to assess the association between the explanatory factors (AMU, year and isolate type) and the dependent variable (AMR). In broilers, the analysis showed lower resistance proportions of clinical isolates of E. coli to ampicillin and colistin (ampicillin: Odds ratio (OR) and 95% confidence interval (CI) = 0.44 (0.3-0.64), p<0.001; colistin: OR and 95% CI = 0.75 (0.73-0.76), p<0.001) but higher proportions for cefotaxime (OR and 95% CI = 4.58 (1.56-15.1), p = 0.007). Resistance to ampicillin, gentamicin and tetracycline was less frequent in clinical isolates in turkeys (ampicillin: OR and 95% CI = 0.4 (0.29-0.53), p<0.001; gentamicin: OR and 95% CI = 0.5 (0.26-0.94), p = 0.035; tetracycline: OR and 95% CI = 0.4 (0.29-0.55), p<0.001). The analysis found decreasing associations of AMU with resistance to tetracycline in turkeys and to colistin in broilers. Year was associated with a decrease in resistance to colistin in broilers and to tetracycline in turkeys. Differences in resistance found in this study between clinical and non-clinical isolates might play an important role in resistance prevalence. This study indicated that further data analyses over longer time intervals are required to clarify the differences found between clinical and non-clinical isolates and to assess the long-term effects of changes in AMU on the prevalence of AMR.
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