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  3. Risk Ranking of Antimicrobial-Resistant Hazards Found in Meat in Switzerland.

Risk Ranking of Antimicrobial-Resistant Hazards Found in Meat in Switzerland.

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DOI
10.7892/boris.110137
Publisher DOI
10.1111/risa.12901
PubMed ID
28973821
Abstract
Human exposure to bacteria resistant to antimicrobials and transfer of related genes is a complex issue and occurs, among other pathways, via meat consumption. In a context of limited resources, the prioritization of risk management activities is essential. Since the antimicrobial resistance (AMR) situation differs substantially between countries, prioritization should be country specific. The objective of this study was to develop a systematic and transparent framework to rank combinations of bacteria species resistant to selected antimicrobial classes found in meat, based on the risk they represent for public health in Switzerland. A risk assessment model from slaughter to consumption was developed following the Codex Alimentarius guidelines for risk analysis of foodborne AMR. Using data from the Swiss AMR monitoring program, 208 combinations of animal species/bacteria/antimicrobial classes were identified as relevant hazards. Exposure assessment and hazard characterization scores were developed and combined using multicriteria decision analysis. The effect of changing weights of scores was explored with sensitivity analysis. Attributing equal weights to each score, poultry-associated combinations represented the highest risk. In particular, contamination with extended-spectrum β-lactamase/plasmidic AmpC-producing Escherichia coli in poultry meat ranked high for both exposure and hazard characterization. Tetracycline- or macrolide-resistant Enterococcus spp., as well as fluoroquinolone- or macrolide-resistant Campylobacter jejuni, ranked among combinations with the highest risk. This study provides a basis for prioritizing future activities to mitigate the risk associated with foodborne AMR in Switzerland. A user-friendly version of the model was provided to risk managers; it can easily be adjusted to the constantly evolving knowledge on AMR.
Date Issued
2018-05
Publication Type
Article
Subject(s)
600 Technology > 630 Agriculture
Subjects
Antimicrobial resistance microbiological risk assessment multicriteria decision analysis prioritization
Language(s)
en
Author(s)
Collineau, Lucie
Gomes do Carmo, Luis Pedro  
VPH-Institut der Universität Bern  
Endimiani, Andrea  
Institut für Infektionskrankheiten, Forschung  
Magouras, Ioannis  
VPH-Institut der Universität Bern  
Müntener, Cedric
Schüpbach-Regula, Gertraud Irene  
VPH-Institut der Universität Bern  
Stärk, Katharina D C
Additional Credits
VPH-Institut der Universität Bern  
Institut für Infektionskrankheiten, Forschung  
Journal
Risk analysis
Publisher
Blackwell Publishing
ISSN
0272-4332
Access(Rights)
restricted
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