Prevalence and trend analysis of antimicrobial resistance in clinical Escherichia coli isolates collected from diseased pigs in the USA between 2006 and 2016. Issue 5 (12th March 2020)

• Record Type: Journal Article
• Authors: Hayer, Shivdeep Singh; Rovira, Albert; Olsen, Karen; Johnson, Timothy J.; Vannucci, Fabio; Rendahl, Aaron; Perez, Andres; Alvarez, Julio
• Is Part Of: Transboundary and emerging diseases. Volume 67:Issue 5(2020)
• Page Start: 1930
• Page End: 1941
• Publication Date: 2020-03-12
• Subjects: antimicrobial resistance -- Escherichia coli -- multidrug resistance -- swine -- trend analysis; Veterinary medicine -- Periodicals; 636.089
• DOI: 10.1111/tbed.13528
• Languages: English
• ISSNs: 1865-1674

Abstract

Abstract: Antimicrobial resistance (AMR) is an emerging threat to both human and animal health. Antimicrobial use and resistance in food animal production, including swine, has received increased scrutiny as a source of resistant foodborne pathogens. Continuous surveillance of AMR in bacterial isolates of swine origin can guide in conservation of antimicrobials used in both human and swine medicine. The objective of this study was to evaluate the prevalence and trends of the phenotypic AMR in Escherichia coli of swine origin isolated from clinical samples at the Minnesota Veterinary Diagnostic laboratory between 2006 and 2016. The prevalence of resistance to ampicillin, tetracyclines and sulphadimethoxine remained greater than 50% throughout the period. There was a drastic change in enrofloxacin resistance, increasing from less than 1% to more than 20% between 2006 and 2016 (annual relative increase of 57% between 2006 and 2013 and 16% between 2013 and 2016). The prevalence of resistance to other antimicrobials remained constant (ceftiofur, oxytetracycline and chlortetracycline) or changed significantly (annual relative changes of less than 10%) for at least some time‐period between 2006 and 2016 (ampicillin, florfenicol, gentamicin, neomycin, sulphadimethoxine, trimethoprim‐sulphamethoxazole and spectinomycin). Rarefaction analysis revealed an increase in the number of unique combinations of AMRs per year. Network analysis was performed by estimating and plotting partial correlations between minimum inhibitory concentrations (MICs) of various antimicrobials. An increase in strength of these networks was observed, particularly in networks created after 2010, which can be indicative of increased multiple AMR in these isolates. These results provide valuable insight into the trends in AMR in E. coli of swine origin in the USA and act as supplementary information to the existing active AMR surveillance systems.