Mesa-Varona Octavio, Mader Rodolphe, Velasova Martina, Madec Jean-Yves, Granier Sophie A, Perrin-Guyomard Agnes, Norstrom Madelaine, Kaspar Heike, Grobbel Mirjam, Jouy Eric, Anjum Muna F, Tenhagen Bernd-Alois
German Federal Institute for Risk Assessment (BfR), Department Biological Safety, 10589 Berlin, Germany.
French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, University of Lyon, 31 avenue Tony Garnier, 69007 Lyon, France.
Microorganisms. 2021 Mar 25;9(4):678. doi: 10.3390/microorganisms9040678.
Livestock data on antimicrobial resistance (AMR) are commonly collected from bacterial populations of clinical and non-clinical isolates. In contrast to data on non-clinical isolates from livestock, data on clinical isolates are not harmonized in Europe. The Normalized Resistance Interpretation (NRI) method was applied to overcome the lack of harmonization of laboratory methods and interpretation rules between monitoring systems. Statistical analyses were performed to identify associations between the isolate type (clinical vs. non-clinical) and resistance to four antimicrobials (ampicillin, tetracycline, gentamicin, and nalidixic acid) per animal category in Germany and France. Additional statistical analyses comparing clinical and non-clinical isolates were performed with the available data on the same antimicrobial panel and animal categories from the UK and Norway. Higher resistance prevalence was found in clinical isolates compared to non-clinical isolates from calves to all antimicrobials included in Germany and France. It was also found for gentamicin in broilers from France. In contrast, in broilers and turkeys from Germany and France and in broilers from the UK, a higher resistance level to ampicillin and tetracycline in non-clinical isolates was encountered. This was also found in resistance to gentamicin in isolates from turkeys in Germany. Resistance differed within countries and across years, which was partially in line with differences in antimicrobial use patterns. Differences in AMR between clinical and non-clinical isolates of are associated with animal category (broiler, calf, and turkey) and specific antimicrobials. The NRI method allowed comparing results of non-harmonized AMR systems and might be useful until international harmonization is achieved.
关于抗菌药物耐药性(AMR)的家畜数据通常从临床和非临床分离株的细菌群体中收集。与家畜非临床分离株的数据不同,欧洲临床分离株的数据并未统一。应用标准化耐药性解释(NRI)方法来克服监测系统之间实验室方法和解释规则缺乏一致性的问题。进行了统计分析,以确定德国和法国每种动物类别中分离株类型(临床与非临床)与对四种抗菌药物(氨苄青霉素、四环素、庆大霉素和萘啶酸)的耐药性之间的关联。利用来自英国和挪威的相同抗菌药物组和动物类别的现有数据,对临床和非临床分离株进行了额外的统计分析。在德国和法国,与犊牛的非临床分离株相比,临床分离株对所有抗菌药物的耐药率更高。在法国肉鸡中对庆大霉素的耐药情况也是如此。相比之下在德国和法国的肉鸡和火鸡以及英国的肉鸡中,非临床分离株对氨苄青霉素和四环素的耐药水平更高。在德国火鸡分离株中对庆大霉素的耐药情况也是如此。耐药性在不同国家和不同年份存在差异,这部分与抗菌药物使用模式的差异一致。临床和非临床分离株之间的AMR差异与动物类别(肉鸡、犊牛和火鸡)以及特定抗菌药物有关。NRI方法能够比较未统一的AMR系统的结果,在实现国际统一之前可能会很有用。