Literature DB >> 19168250

Risk scoring for setting priorities in a monitoring of antimicrobial resistance in meat and meat products.

Patrick Presi1, Katharina D C Stärk, Roger Stephan, Eric Breidenbach, Joachim Frey, Gertraud Regula.   

Abstract

Meat and meat products can be contaminated with different species of bacteria resistant to various antimicrobials. The human health risk of a type of meat or meat product carry by emerging antimicrobial resistance depends on (i) the prevalence of contamination with resistant bacteria, (ii) the human health consequences of an infection with a specific bacterium resistant to a specific antimicrobial and (iii) the consumption volume of a specific product. The objective of this study was to compare the risk for consumers arising from their exposure to antibiotic resistant bacteria from meat of four different types (chicken, pork, beef and veal), distributed in four different product categories (fresh meat, frozen meat, dried raw meat products and heat-treated meat products). A semi-quantitative risk assessment model, evaluating each food chain step, was built in order to get an estimated score for the prevalence of Campylobacter spp., Enterococcus spp. and Escherichia coli in each product category. To assess human health impact, nine combinations of bacterial species and antimicrobial agents were considered based on a published risk profile. The combination of the prevalence at retail, the human health impact and the amount of meat or product consumed, provided the relative proportion of total risk attributed to each category of product, resulting in a high, medium or low human health risk. According to the results of the model, chicken (mostly fresh and frozen meat) contributed 6.7% of the overall risk in the highest category and pork (mostly fresh meat and dried raw meat products) contributed 4.0%. The contribution of beef and veal was of 0.4% and 0.1% respectively. The results were tested and discussed for single parameter changes of the model. This risk assessment was a useful tool for targeting antimicrobial resistance monitoring to those meat product categories where the expected risk for public health was greater.

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Year:  2008        PMID: 19168250     DOI: 10.1016/j.ijfoodmicro.2008.12.022

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  7 in total

1.  Development of a DNA microarray for enterococcal species, virulence, and antibiotic resistance gene determinations among isolates from poultry.

Authors:  J Champagne; M S Diarra; H Rempel; E Topp; C W Greer; J Harel; L Masson
Journal:  Appl Environ Microbiol       Date:  2011-02-18       Impact factor: 4.792

2.  Reactions of Ferrous Coproheme Decarboxylase (HemQ) with O2 and H2O2 Yield Ferric Heme b.

Authors:  Bennett R Streit; Arianna I Celis; Krista Shisler; Kenton R Rodgers; Gudrun S Lukat-Rodgers; Jennifer L DuBois
Journal:  Biochemistry       Date:  2016-12-16       Impact factor: 3.162

3.  Distribution of drug resistance among enterococci and Salmonella from poultry and cattle in Ethiopia.

Authors:  Behailu Bekele; Mogessie Ashenafi
Journal:  Trop Anim Health Prod       Date:  2009-11-17       Impact factor: 1.559

4.  Moderate prevalence of antimicrobial resistance in Escherichia coli isolates from lettuce, irrigation water, and soil.

Authors:  Kevin Holvoet; Imca Sampers; Benedicte Callens; Jeroen Dewulf; Mieke Uyttendaele
Journal:  Appl Environ Microbiol       Date:  2013-08-23       Impact factor: 4.792

5.  A dose response model for quantifying the infection risk of antibiotic-resistant bacteria.

Authors:  Srikiran Chandrasekaran; Sunny C Jiang
Journal:  Sci Rep       Date:  2019-11-19       Impact factor: 4.379

6.  Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand.

Authors:  Chaiwat Pulsrikarn; Anusak Kedsin; Parichart Boueroy; Peechanika Chopjitt; Rujirat Hatrongjit; Piyarat Chansiripornchai; Nipattra Suanpairintr; Suphachai Nuanualsuwan
Journal:  Foods       Date:  2022-09-20

7.  Risk assessment of growth hormones and antimicrobial residues in meat.

Authors:  Sang-Hee Jeong; Daejin Kang; Myung-Woon Lim; Chang Soo Kang; Ha Jung Sung
Journal:  Toxicol Res       Date:  2010-12
  7 in total

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