基于 MIC 的药敏数据分析的新统计技术。
New statistical technique for analyzing MIC-based susceptibility data.
机构信息
Expertise Centre for Methodology and Information Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
出版信息
Antimicrob Agents Chemother. 2012 Mar;56(3):1557-63. doi: 10.1128/AAC.05777-11. Epub 2012 Jan 9.
Abstract
Seventeen laboratories participated in a cooperative study to validate the regional susceptibility testing of Neisseria gonorrhoeae in The Netherlands. International reference strains were distributed. Each laboratory determined the MICs of ciprofloxacin, penicillin, and tetracycline, for each strain by Etest. To explore a more transparent assessment of quality and comparability, a statistical regression model was fitted to the data that accounted for the censoring of the MICs. The mean MICs found by all of the laboratories except three were closer than one 2-fold dilution step to the overall mean, and the mean MICs of each antimicrobial agent were close to the MICs for the international reference strains. This approach provided an efficient tool to analyze the performance of the Dutch decentralized gonococcal resistance monitoring system and confirmed good and comparable standards.
摘要
十七个实验室参与了一项合作研究，旨在验证荷兰淋病奈瑟菌的区域性药敏试验。国际参考菌株被分发。每个实验室通过 Etest 确定了每种菌株对环丙沙星、青霉素和四环素的 MIC。为了更透明地评估质量和可比性，对数据进行了统计回归模型拟合，该模型考虑了 MIC 的删失。除三个实验室外，所有实验室的平均 MIC 比总体平均值接近两倍稀释度，并且每种抗菌药物的平均 MIC 接近国际参考菌株的 MIC。这种方法提供了一种有效的工具来分析荷兰分散的淋病耐药监测系统的性能，并证实了良好和可比的标准。
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