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Shared Multidrug Resistance Patterns in Chicken-Associated Escherichia coli Identified by Association Rule Mining.
Cazer, Casey L; Al-Mamun, Mohammad A; Kaniyamattam, Karun; Love, William J; Booth, James G; Lanzas, Cristina; Gröhn, Yrjö T.
Afiliação
  • Cazer CL; Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States.
  • Al-Mamun MA; Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT, United States.
  • Kaniyamattam K; Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States.
  • Love WJ; Department of Population Health and Pathobiology, North Carolina State University College of Veterinary Medicine, Raleigh, NC, United States.
  • Booth JG; Department of Biological Statistics and Computational Biology, Cornell University College of Agriculture and Life Sciences, Ithaca, NY, United States.
  • Lanzas C; Department of Population Health and Pathobiology, North Carolina State University College of Veterinary Medicine, Raleigh, NC, United States.
  • Gröhn YT; Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States.
Front Microbiol ; 10: 687, 2019.
Article em En | MEDLINE | ID: mdl-31031716
Using multiple antimicrobials in food animals may incubate genetically-linked multidrug-resistance (MDR) in enteric bacteria, which can contaminate meat at slaughter. The U.S. National Antimicrobial Resistance Monitoring System tested 21,243 chicken-associated Escherichia coli between 2004 and 2012 for resistance to 15 antimicrobials, resulting in >32,000 possible MDR patterns. We analyzed MDR patterns in this dataset with association rule mining, also called market-basket analysis. The association rules were pruned with four quality measures resulting in a <1% false-discovery rate. MDR rules were more stable across consecutive years than between slaughter and retail. Rules were decomposed into networks with antimicrobials as nodes and rules as edges. A strong subnetwork of beta-lactam resistance existed in each year and the beta-lactam resistances also had strong associations with sulfisoxazole, gentamicin, streptomycin and tetracycline resistances. The association rules concur with previously identified E. coli resistance patterns but provide significant flexibility for studying MDR in large datasets.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Front Microbiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Front Microbiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça