Foodborne antimicrobial resistant (AMR) microorganisms are a global food safety concern. Antimicrobial drug use (AMU) in livestock may increase the risk of resistant foodborne bacterial infections in humans via contaminated animal products. Consequently, countries have implemented different livestock AMU restriction policies, opening the potential for trade disputes. AMR risk equivalence between countries with different AMU policies must be established using scientifically justified risk assessments. The Codex Alimentarius Commission’s Guidelines for Risk Analysis of Foodborne Antimicrobial Resistance (AMR Codex) recommends an approach that requires quantification of detailed information, for which, in many instances, little to no data exists. Using AMR Salmonella exposure from beef consumption as an example, we demonstrate the difficulty of implementing the AMR Codex by comparing key regionally specific parameters within the United States and European Union, two regions with substantial beef production and consumption, robust foodborne pathogen sampling and surveillance systems, and different AMU policies. Currently, neither region fully captures data for key regional variables to populate a detailed risk assessment as outlined in the AMR Codex, nor are they able to adequately link AMU in livestock to AMR infections in humans. Therefore, the AMR Codex guidelines are currently aspirational and not a viable option to assess the impact of livestock AMU reductions on the human health risk of AMR Salmonellosis from beef, nor produce regionally comparable estimates of risk. More flexible risk assessment guidelines that more directly link livestock AMU to human health risk and that is amenable to currently available data is needed to allow for country variations and to calculate comparable regional risk estimates, which can be used to guide international trade policy.
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Research Article|
June 30 2022
The CODEX Guidelines for Risk Analysis of Foodborne Antimicrobial Resistance are Incompatible with Available Surveillance Data
Daniel Taylor;
Daniel Taylor
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Francisco J. Zagmutt
Francisco J. Zagmutt
EpiX Analytics
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J Food Prot (2022)
Article history
Received:
February 09 2022
Revision Received:
June 02 2022
Accepted:
June 10 2022
Citation
Daniel Taylor, Gavin J. Fenske, Jane G. Pouzou, Solenne Costard, Francisco J. Zagmutt; The CODEX Guidelines for Risk Analysis of Foodborne Antimicrobial Resistance are Incompatible with Available Surveillance Data. J Food Prot 2022; doi: https://doi.org/10.4315/JFP-22-038
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