ArticleFrontiers in microbiology2022
Antimicrobial resistance among canine enterococci in the northeastern United States, 2007-2020.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Resistance to Human-Reserved Antimicrobials in Clinical and CommensalAntibiotics (Basel, Switzerland) · 2026Article
- Cross-Sector Antimicrobial Resistance and Virulence inAntibiotics (Basel, Switzerland) · 2026Article
- Virulence factors and antimicrobial resistance profiles ofJournal of veterinary science · 2026Article
- One Health Insights intoInternational journal of molecular sciences · 2026Article
- Critical genomic insights into vancomycin-resistantMicrobiology spectrum · 2025Article
- The impact of antimicrobial use regulations on antimicrobial resistance amongOne health (Amsterdam, Netherlands) · 2025Article
- Genomic Characterization ofMicroorganisms · 2025Article
- Antimicrobial Resistance Profiles ofMicroorganisms · 2023Article
- Assessment of the gradient diffusion method for fosfomycin susceptibility testing inVeterinary world · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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Abstract
Introduction: Antimicrobial resistance (AMR) is a growing and complex One Health concern worldwide, threatening the practice of human and veterinary medicine. Although dogs are a potential reservoir of multidrug-resistant bacteria, there are very few surveillance studies on AMR from the canine population in the United States. Here, we assessed the antimicrobial susceptibility patterns, identified temporal resistance and minimum inhibitory concentration trends, and described associations between resistance phenotypes among canine clinical enterococci in the northeastern United States. Methods: Through a large-scale retrospective study design, we collected species identification, minimum inhibitory concentration, and clinical data from 3,659 canine enterococci isolated at the Cornell University Animal Health Diagnostic Center between 2007 and 2020. We used the Mann-Kendall test, Sen's slope, multivariable logistic regression, and survival analysis models to detect the presence of a significant trend in resistance over the study period. Results: Conclusion: There is a crucial need to make rational prescribing decisions on the prudent use of antimicrobials and improve the quality of care for patients, especially when empirical antimicrobial treatment for enterococcal infection is common.
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