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通过抗菌药物使用与抗菌药物耐药性监测数据的综合报告为加拿大食用动物物种制定管理措施——第一部分，方法学开发

Informing Stewardship Measures in Canadian Food Animal Species through Integrated Reporting of Antimicrobial Use and Antimicrobial Resistance Surveillance Data-Part I, Methodology Development.

作者信息

Agunos Agnes, Gow Sheryl P, Deckert Anne E, Kuiper Grace, Léger David F

机构信息

Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, ON N1H 7M7, Canada.

Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Saskatoon, SK S7N 5B4, Canada.

出版信息

Pathogens. 2021 Nov 16;10(11):1492. doi: 10.3390/pathogens10111492.

DOI:10.3390/pathogens10111492
PMID:34832647
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8618382/
Abstract

This study explores methodologies for the data integration of antimicrobial use (AMU) and antimicrobial resistance (AMR) results within and across three food animal species, surveyed at the farm-level by the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS). The approach builds upon existing CIPARS methodology and principles from other AMU and AMR surveillance systems. Species level data integration involved: (1) standard CIPARS descriptive and temporal analysis of AMU/AMR, (2) synthesis of results, (3) selection of AMU and AMR outcomes for integration, (4) selection of candidate AMU indicators to enable comparisons of AMU levels between species and simultaneous assessment of AMU and AMR trends, (5) exploration of analytic options for studying associations between AMU and AMR, and (6) interpretation and visualization. The multi-species integration was also completed using the above approach. In addition, summarized reporting of internationally-recognized indicators of AMR (i.e., AMR adjusted for animal biomass) and AMU (mg/population correction unit, mg/kg animal biomass) is explored. It is envisaged that this approach for species and multi-species AMU-AMR data integration will be applied to the annual CIPARS farm-level data and progressively developed over time to inform AMU-AMR integrated surveillance best practices for further enhancement of AMU stewardship actions.

摘要

本研究探索了抗菌药物使用（AMU）和抗菌药物耐药性（AMR）结果的数据整合方法，这些数据来自加拿大抗菌药物耐药性监测综合项目（CIPARS）在农场层面调查的三种食用动物物种内部及之间。该方法基于CIPARS现有方法以及其他AMU和AMR监测系统的原则。物种层面的数据整合包括：（1）CIPARS对AMU/AMR的标准描述性和时间分析；（2）结果综合；（3）选择用于整合的AMU和AMR结果；（4）选择候选AMU指标，以实现物种间AMU水平的比较以及AMU和AMR趋势的同步评估；（5）探索研究AMU与AMR之间关联的分析选项；（6）解释与可视化。多物种整合也采用上述方法完成。此外，还探索了对抗菌药物耐药性（即根据动物生物量调整后的AMR）和抗菌药物使用（毫克/种群校正单位、毫克/千克动物生物量）的国际认可指标进行汇总报告。预计这种物种和多物种AMU-AMR数据整合方法将应用于CIPARS年度农场层面数据，并随着时间的推移逐步发展，为AMU-AMR综合监测最佳实践提供信息，以进一步加强AMU管理行动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8246/8618382/f8f00acf2340/pathogens-10-01492-g006.jpg
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Third joint inter-agency report on integrated analysis of consumption of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals in the EU/EEA: JIACRA III 2016-2018.欧盟/欧洲经济区关于人类和食用动物抗菌药物消费及细菌中抗菌药物耐药性发生情况综合分析的第三次机构间联合报告：JIACRA III 2016 - 2018年
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