兽药抗微生物药敏试验:性能、结果解释、最佳做法和陷阱

Andrea T. Feßler, Yang Wang, Claire R. Burbick, Dubraska Diaz-Campos, Virginia R. Fajt, Sara D. Lawhon, Xian-Zhi Li, Brian V. Lubbers, Kelli Maddock, Ron A. Miller, Mark G. Papich, Shabbir Simjee, Michael T. Sweeney, Jeffrey L. Watts, Congming Wu, Jianzhong Shen, Stefan Schwarz
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引用次数: 1

摘要

细菌的抗菌药物敏感性试验(AST)的性能和对动物分离细菌的抗菌药物敏感性试验结果的解释是一项复杂的任务,必须使用标准的出版方法,并由临床微生物学专家监督,并与临床药理学家协商。否则,AST很有可能出现错误和错误。在这篇综述中,我们对如何正确地对动物分离的细菌进行AST和AST结果的解释提供了指导。特别强调的是针对不同细菌的各种批准或发表的方法以及解释性标准的应用,包括临床断点和流行病学截止值(ECVs/ ecoff)。解释了临床断点易感、易感剂量依赖、非易感、中间和耐药以及野生型和非野生型ecv的批准解释性标准和定义的应用,并讨论了由于缺乏其他细菌、适应症和动物物种的批准临床断点而导致的困难。还强调了在任何AST方法中对质量控制的要求。此外,还解释了监测和监测研究中经常使用的重要参数,如MIC 50、MIC 90和检测范围,并提供了将细菌分类为多重耐药、广泛耐药或普遍耐药的标准。介绍了常见的错误,并描述了避免这些错误的方法。为了提供最准确的AST,必须严格遵守批准的标准或验证的方法,如临床和实验室标准协会或其他国际公认的AST文件及其提供的详细信息。
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Antimicrobial susceptibility testing in veterinary medicine: performance, interpretation of results, best practices and pitfalls
Abstract The performance of antimicrobial susceptibility testing (AST) of bacteria and the interpretation of AST results for bacteria isolated from animals are complex tasks which must be performed using standard published methodology and overseen by experts in clinical microbiology and in consultation with clinical pharmacologists. Otherwise, AST has significant potential for errors and mistakes. In this review, we provide guidance on how to correctly perform AST of bacteria isolated from animals and interpret the AST results. Particular emphasis is placed on the various approved or published methodologies for the different bacteria as well as the application of interpretive criteria, including clinical breakpoints and epidemiological cut-off values (ECVs/ECOFFs). Application of approved interpretive criteria and definitions of susceptible, susceptible dose-dependent, nonsusceptible, intermediate, and resistant for clinical breakpoints as well as wild-type and non-wildtype for ECVs, are explained and the difficulties resulting from the lack of approved clinical breakpoints for other bacteria, indications, and animal species is discussed. The requirement of quality controls in any AST approach is also emphasized. In addition, important parameters, often used in monitoring and surveillance studies, such as MIC 50 , MIC 90 , and testing range, are explained and criteria for the classification of bacteria as multidrug-resistant, extensively drug-resistant or pandrug-resistant are provided. Common mistakes are presented and the means to avoid them are described. To provide the most accurate AST, one must strictly adhere to approved standards or validated methodologies, like those of the Clinical and Laboratory Standards Institute or other internationally accepted AST documents and the detailed information provided therein.
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