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Monitoring antimicrobial resistance trends in commensal Escherichia coli from livestock, the Netherlands, 1998 to 2016

机译:监测1998年至2016年荷兰家畜常见的 Escherichia coli 的耐药性趋势

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Background Monitoring of antimicrobial resistance (AMR) in animals is essential for public health surveillance. To enhance interpretation of monitoring data, evaluation and optimisation of AMR trend analysis is needed. Aims To quantify and evaluate trends in AMR in commensal Escherichia coli , using data from the Dutch national AMR monitoring programme in livestock (1998–2016). Methods Faecal samples were collected at slaughter from broilers, pigs and veal calves. Minimum inhibitory concentration values were obtained by broth microdilution for E. coli for 15 antimicrobials of eight antimicrobial classes. A Poisson regression model was applied to resistant isolate counts, with explanatory variables representing time before and after 2009 (reference year); for veal calves, sampling changed from 2012 represented by an extra explanatory variable. Results Resistant counts increased significantly from 1998-2009 in broilers and pigs, except for tetracyclines and sulfamethoxazole in broilers and chloramphenicol and aminoglycosides in pigs. Since 2009, resistant counts decreased for all antimicrobials in broilers and for all but the phenicols in pigs. In veal calves, for most antimicrobials no significant decrease in resistant counts could be determined for 2009–16, except for sulfamethoxazole and nalidixic acid. Within animal species, antimicrobial-specific trends were similar. Conclusions Using Dutch monitoring data from 1998-2016, this study quantified AMR trends in broilers and slaughter pigs and showed significant trend changes in the reference year 2009. We showed that monitoring in commensal E. coli is useful to quantify trends and detect trend changes in AMR. This model is applicable to similar data from other European countries.
机译:背景监测动物的抗菌素耐药性(AMR)对于公共卫生监测至关重要。为了增强对监测数据的解释,需要对AMR趋势分析进行评估和优化。目的使用来自荷兰国家畜牧业AMR监测计划(1998-2016年)的数据来量化和评估大肠埃希菌中AMR的趋势。方法屠宰时从肉鸡,猪和小牛犊中收集粪便样品。通过大肠杆菌的肉汤微量稀释,对八种抗菌剂的15种抗菌剂获得最小抑菌浓度值。将Poisson回归模型应用于抗药性菌株计数,其解释变量代表2009年(基准年)之前和之后的时间。对于小牛犊,自2012年以来抽样发生了变化,由一个额外的解释变量表示。结果从1998年至2009年,肉鸡和猪的抗药性计数显着增加,除了肉鸡中的四环素和磺胺甲恶唑以及猪中的氯霉素和氨基糖苷外。自2009年以来,肉鸡中所有抗菌药物以及猪中除苯甲酚外的所有抗生素的耐药菌计数均下降。在小牛犊中,除了磺胺甲恶唑和萘啶酸外,对于大多数抗菌剂,2009-16年的抗药性没有明显下降。在动物物种内,抗菌素的特定趋势相似。结论使用1998-2016年间的荷兰监测数据,本研究对肉鸡和屠宰猪的AMR趋势进行了定量,并显示了2009基准年中的显着趋势变化。我们表明,在大肠杆菌中进行的监测对于定量趋势和检测趋势中的变化非常有用。 AMR。该模型适用于来自其他欧洲国家的类似数据。

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