Literature DB >> 27324772

Monitoring Antimicrobial Resistance in the Food Supply Chain and Its Implications for FDA Policy Initiatives.

Kelson Zawack1, Min Li2, James G Booth3, Will Love4, Cristina Lanzas4, Yrjö T Gröhn5.   

Abstract

In response to concerning increases in antimicrobial resistance (AMR), the Food and Drug Administration (FDA) has decided to increase veterinary oversight requirements for antimicrobials and restrict their use in growth promotion. Given the high stakes of this policy for the food supply, economy, and human and veterinary health, it is important to rigorously assess the effects of this policy. We have undertaken a detailed analysis of data provided by the National Antimicrobial Resistance Monitoring System (NARMS). We examined the trends in both AMR proportion and MIC between 2004 and 2012 at slaughter and retail stages. We investigated the makeup of variation in these data and estimated the sample and effect size requirements necessary to distinguish an effect of the policy change. Finally, we applied our approach to take a detailed look at the 2005 withdrawal of approval for the fluoroquinolone enrofloxacin in poultry water. Slaughter and retail showed similar trends. Both AMR proportion and MIC were valuable in assessing AMR, capturing different information. Most variation was within years, not between years, and accounting for geographic location explained little additional variation. At current rates of data collection, a 1-fold change in MIC should be detectable in 5 years and a 6% decrease in percent resistance could be detected in 6 years following establishment of a new resistance rate. Analysis of the enrofloxacin policy change showed the complexities of the AMR policy with no statistically significant change in resistance of both Campylobacter jejuni and Campylobacter coli to ciprofloxacin, another second-generation fluoroquinolone.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2016        PMID: 27324772      PMCID: PMC4997833          DOI: 10.1128/AAC.00688-16

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  14 in total

1.  Factor analysis of minimum-inhibitory concentrations for Escherichia coli isolated from feedlot cattle to model relationships among antimicrobial-resistance outcomes.

Authors:  Bruce A Wagner; Mo D Salman; David A Dargatz; Paul S Morley; Thomas E Wittum; Thomas J Keefe
Journal:  Prev Vet Med       Date:  2003-03-20       Impact factor: 2.670

2.  Antimicrobial resistance of Campylobacter isolates from retail meat in the United States between 2002 and 2007.

Authors:  S Zhao; S R Young; E Tong; J W Abbott; N Womack; S L Friedman; P F McDermott
Journal:  Appl Environ Microbiol       Date:  2010-10-22       Impact factor: 4.792

3.  Tracing flock-related Campylobacter clones from broiler farms through slaughter to retail products by pulsed-field gel electrophoresis.

Authors:  Jan-Alexander Lienau; Lüppo Ellerbroek; Günter Klein
Journal:  J Food Prot       Date:  2007-03       Impact factor: 2.077

4.  Estimation of the wild-type minimum inhibitory concentration value distribution.

Authors:  Stijn Jaspers; Marc Aerts; Geert Verbeke; Pierre-Alexandre Beloeil
Journal:  Stat Med       Date:  2013-08-15       Impact factor: 2.373

5.  Analysis by categorizing or dichotomizing continuous variables is inadvisable: an example from the natural history of unruptured aneurysms.

Authors:  O Naggara; J Raymond; F Guilbert; D Roy; A Weill; D G Altman
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-17       Impact factor: 3.825

Review 6.  What is a resistance gene? Ranking risk in resistomes.

Authors:  José L Martínez; Teresa M Coque; Fernando Baquero
Journal:  Nat Rev Microbiol       Date:  2014-12-15       Impact factor: 60.633

Review 7.  Impact of antibiotic use in adult dairy cows on antimicrobial resistance of veterinary and human pathogens: a comprehensive review.

Authors:  Stephen P Oliver; Shelton E Murinda; Bhushan M Jayarao
Journal:  Foodborne Pathog Dis       Date:  2010-12-06       Impact factor: 3.171

8.  Impact of revised cefepime CLSI breakpoints on Escherichia coli and Klebsiella pneumoniae susceptibility and potential impact if applied to Pseudomonas aeruginosa.

Authors:  Yukihiro Hamada; Christina A Sutherland; David P Nicolau
Journal:  J Clin Microbiol       Date:  2015-02-18       Impact factor: 5.948

Review 9.  Food animals and antimicrobials: impacts on human health.

Authors:  Bonnie M Marshall; Stuart B Levy
Journal:  Clin Microbiol Rev       Date:  2011-10       Impact factor: 26.132

10.  The persistence of fluoroquinolone-resistant Campylobacter in poultry production.

Authors:  Lance B Price; Leila G Lackey; Rocio Vailes; Ellen Silbergeld
Journal:  Environ Health Perspect       Date:  2007-07       Impact factor: 9.031

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  7 in total

1.  Phenotypical resistance correlation networks for 10 non-typhoidal Salmonella subpopulations in an active antimicrobial surveillance programme.

Authors:  W J Love; K A Zawack; J G Booth; Y T Gröhn; C Lanzas
Journal:  Epidemiol Infect       Date:  2018-04-30       Impact factor: 4.434

2.  Campylobacter coli in Organic and Conventional Pig Production in France and Sweden: Prevalence and Antimicrobial Resistance.

Authors:  Isabelle Kempf; Annaelle Kerouanton; Stéphanie Bougeard; Bérengère Nagard; Valérie Rose; Gwénaëlle Mourand; Julia Osterberg; Martine Denis; Björn O Bengtsson
Journal:  Front Microbiol       Date:  2017-05-29       Impact factor: 5.640

3.  Shared Multidrug Resistance Patterns in Chicken-Associated Escherichia coli Identified by Association Rule Mining.

Authors:  Casey L Cazer; Mohammad A Al-Mamun; Karun Kaniyamattam; William J Love; James G Booth; Cristina Lanzas; Yrjö T Gröhn
Journal:  Front Microbiol       Date:  2019-04-12       Impact factor: 5.640

4.  Detection of multi-drug resistant (MDR) Escherichia coli and tet gene prevalence at a pig farm in Kupang , Indonesia.

Authors:  Novalino Harold Geoffrey Kallau; I Wayan Teguh Wibawan; Denny Widaya Lukman; Mirnawati Bachrum Sudarwanto
Journal:  J Adv Vet Anim Res       Date:  2018-12-02

Review 5.  Biological Effects of Quinolones: A Family of Broad-Spectrum Antimicrobial Agents.

Authors:  Ana R Millanao; Aracely Y Mora; Nicolás A Villagra; Sergio A Bucarey; Alejandro A Hidalgo
Journal:  Molecules       Date:  2021-11-25       Impact factor: 4.411

6.  Establishing Statistical Equivalence of Data from Different Sampling Approaches for Assessment of Bacterial Phenotypic Antimicrobial Resistance.

Authors:  Heman Shakeri; Victoriya Volkova; Xuesong Wen; Andrea Deters; Charley Cull; James Drouillard; Christian Müller; Behnaz Moradijamei; Majid Jaberi-Douraki
Journal:  Appl Environ Microbiol       Date:  2018-04-16       Impact factor: 4.792

7.  Genetic characterization of extraintestinal Escherichia coli isolates from chicken, cow and swine.

Authors:  Li Chen; Leyi Wang; Afrah Kamal Yassin; Jilei Zhang; Jiansen Gong; Kezong Qi; Roman R Ganta; Yuanyuan Zhang; Yi Yang; Xiangan Han; Chengming Wang
Journal:  AMB Express       Date:  2018-07-17       Impact factor: 3.298

  7 in total

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