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在纵向监测系统中检测新出现的耐药模式:数据敏感性和微生物敏感性。美罗培南年度药敏试验信息收集。美罗培南药敏试验信息收集咨询委员会

Detection of emerging resistance patterns within longitudinal surveillance systems: data sensitivity and microbial susceptibility. MYSTIC Advisory Board. Meropenem Yearly Susceptibility Test Information Collection.

作者信息

Jones R N

机构信息

CAST Laboratories and the University of Iowa College of Medicine, Iowa City, USA.

出版信息

J Antimicrob Chemother. 2000 Sep;46 Suppl T2:1-8.

Abstract

Communicating information from antimicrobial resistance surveillance study data to microbiologists and physicians can be challenging. Large amounts of data, commonly reaching millions of MICs or zone diameter endpoints, must be analysed and condensed to easily-read tables or figures. Furthermore, data must not be prejudged relative to susceptibility categories, because of the diverse nature of interpretive criteria available internationally. An attempt must be made to present results of all surveillance studies in a mode that can be reinterpreted for immediate use in different geographical areas, or used to compare future data with relative ease and high accuracy. Such data displays require peer-reviewed journals to permit greater numbers of more complex tables to present results. The Meropenem Yearly Susceptibility Test Information Collection (MYSTIC) study is a year-on-year global surveillance programme in medical centres where meropenem is available for use. We have developed a presentation strategy that expands the long-term clinical value of MYSTIC results. In addition to statistical parameters, tables of cumulative percentages or numbers of strains inhibited at each tested antimicrobial concentration will be presented. Alternative figures (Finland-o-grams) could also be used, but these generally lack precise extractable rates and require more journal space. Regardless of study design, promotion of this presentation philosophy enhances any surveillance study's value to each reader or user and facilitates application to locally appropriate interpretations. The widespread use of these analysis and presentation principles as benchmarks by various resistance studies and networks is strongly encouraged, particularly by investigations across international boundaries.

摘要

将抗菌药物耐药性监测研究数据中的信息传达给微生物学家和医生可能具有挑战性。大量的数据,通常达到数百万个最低抑菌浓度(MIC)或抑菌圈直径终点,必须进行分析并浓缩成易于阅读的表格或图表。此外,由于国际上可用的解释标准具有多样性,数据不能相对于药敏类别预先判断。必须尝试以一种可以重新解释以便在不同地理区域立即使用的方式呈现所有监测研究的结果,或者以便于比较和高精度地比较未来数据。这样的数据展示需要同行评审期刊允许更多数量的更复杂表格来呈现结果。美罗培南年度药敏试验信息收集(MYSTIC)研究是一项在有美罗培南可供使用的医疗中心进行的逐年全球监测计划。我们已经制定了一种呈现策略,以扩大MYSTIC结果的长期临床价值。除了统计参数外,还将呈现每个测试抗菌浓度下抑制菌株的累积百分比或数量的表格。也可以使用替代图表(芬兰图),但这些通常缺乏精确的可提取率,并且需要更多的期刊篇幅。无论研究设计如何,推广这种呈现理念都能提高任何监测研究对每个读者或用户的价值,并便于应用于当地合适的解释。强烈鼓励各种耐药性研究和网络广泛使用这些分析和呈现原则作为基准,特别是跨国界的调查。

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