SAFOSO AG, Bern Liebefeld, Switzerland.
Veterinary Public Health Institute, Vetsuisse, University of Bern, Bern, Switzerland.
Risk Anal. 2018 May;38(5):1070-1084. doi: 10.1111/risa.12901. Epub 2017 Oct 3.
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.
人类接触到对抗生素具有耐药性的细菌以及相关基因的转移是一个复杂的问题,其中一个途径就是通过食用肉类。在资源有限的情况下,优先考虑管理活动的风险至关重要。由于各国的抗生素耐药性(AMR)情况存在很大差异,因此应根据具体国家进行优先级排序。本研究旨在制定一个系统透明的框架,根据这些细菌在瑞士公共健康中所代表的风险,对肉类中发现的具有特定选择抗菌类耐药性的细菌种类组合进行排序。按照食品中食源性 AMR 风险分析的 Codex Alimentarius 指南,开发了从屠宰到消费的风险评估模型。利用瑞士 AMR 监测计划的数据,确定了 208 种动物物种/细菌/抗菌类组合作为相关危害。开发了暴露评估和危害特征化评分,并使用多标准决策分析进行了组合。通过敏感性分析探索了改变评分权重的影响。如果给每个评分赋予相同的权重,那么与家禽相关的组合代表着最高的风险。特别是在禽肉中存在具有广谱β-内酰胺酶/质粒型 AmpC 生产性大肠杆菌的污染,在暴露和危害特征化方面都排名很高。耐四环素或大环内酯类的肠球菌属,以及耐氟喹诺酮类或大环内酯类的空肠弯曲菌,也被列为具有最高风险的组合。本研究为优先考虑减轻瑞士食源性 AMR 相关风险的未来活动提供了依据。为风险管理人员提供了该模型的用户友好版本,它可以轻松地适应对抗生素耐药性不断发展的知识。