ArticleZoonoses and public health2021
Antimicrobial resistance clusters in commensal Escherichia coli from livestock.
Article in Zoonoses and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Phenotypic antimicrobial resistance patterns of Escherichia coli isolates from healthy chicken and turkey flocks in Hungary differ across poultry production systems.Poultry science · 2026Article
- Co-Resistance Structure and Multidrug Resistance-Associated Antimicrobials inAntibiotics (Basel, Switzerland) · 2026Article
- Systematic Review and Meta-Analysis of Extended-Spectrum Beta-Lactamase-Producing (ESBL)Antibiotics (Basel, Switzerland) · 2026Review
- Changes in oral, skin, and gut microbiota in children with atopic dermatitis: a case-control study.Frontiers in microbiology · 2024Article
- First Identification of blaCurrent microbiology · 2023Article
- Antimicrobial resistance monitoring in the Danish swine production by phenotypic methods and metagenomics from 1999 to 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023Article
- Antimicrobial Resistance in Poultry Farming: A Look Back at EnvironmentalVeterinary medicine international · 2023Article
- Phylogenetic analysis and antibiotic resistance ofVeterinary world · 2022Article
- Characterizing the antimicrobial resistance profile ofVeterinary world · 2022Article
- Antimicrobial resistance clusters in commensal Escherichia coli from livestock.Zoonoses and public health · 2021Article
- Antimicrobial Resistance Genes in ESBL-ProducingAntibiotics (Basel, Switzerland) · 2021Article
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To combat antimicrobial resistance (AMR), policymakers need an overview of evolution and trends of AMR in relevant animal reservoirs, and livestock is monitored by susceptibility testing of sentinel organisms such as commensal E. coli. Such monitoring data are often vast and complex and generates a need for outcome indicators that summarize AMR for multiple antimicrobial classes. Model-based clustering is a data-driven approach that can help to objectively summarize AMR in animal reservoirs. In this study, a model-based cluster analysis was carried out on a dataset of minimum inhibitory concentrations (MIC), recoded to binary variables, for 10 antimicrobials of commensal E. coli isolates (N = 12,986) derived from four animal species (broilers, pigs, veal calves and dairy cows) in Dutch AMR monitoring, 2007-2018. This analysis revealed four clusters in commensal E. coli in livestock containing 201 unique resistance combinations. The prevalence of these combinations and clusters differs between animal species. Our results indicate that to monitor different animal populations, more than one indicator for multidrug resistance seems necessary. We show how these clusters summarize multidrug resistance and have potential as monitoring outcome indicators to benchmark and prioritize AMR problems in livestock.
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