Suppr超能文献

充分利用监测研究:OPTAMA项目总结

Making the most of surveillance studies: summary of the OPTAMA Program.

作者信息

Kuti Joseph L, Nicolau David P

机构信息

Center for Anti-Infective Research and Development, Hartford Hospital, Hartford, CT 06102, USA.

出版信息

Diagn Microbiol Infect Dis. 2005 Dec;53(4):281-7. doi: 10.1016/j.diagmicrobio.2005.10.004.

Abstract

Antibiotic surveillance studies lack consideration of pharmacodynamics and provide little information about optimal dosing. By using minimum inhibitory concentration (MIC) data derived from a global surveillance study and Monte Carlo simulation, the Optimizing Pharmacodynamic Target Attainment using the MYSTIC Antibiogram (OPTAMA) Program was established to impart greater understanding of the ability to attain pharmacodynamic exposure for specific dosing regimens and their relationship with percent susceptibility. Early OPTAMA studies focused on determining the cumulative fraction of response (CFR) for various antibiotics against Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa regionally in Europe and the Americas. Later reports considered the prevalence of specific bacteria causing infections to estimate the CFR for empiric therapy of pneumonia, bloodstream, complicated skin/skin structure, and intra-abdominal infections. Collectively, the approach of the OPTAMA Program provides a novel tool that complements susceptibility data to help in the selection of appropriate empirical antibiotic therapy at the national, regional, and institutional level.

摘要

抗生素监测研究未考虑药效学因素,且几乎未提供关于最佳给药剂量的信息。通过使用来自一项全球监测研究的最低抑菌浓度(MIC)数据和蒙特卡洛模拟,建立了利用MYSTIC抗菌谱优化药效学目标达成率(OPTAMA)计划,以更深入地了解特定给药方案实现药效学暴露的能力及其与药敏百分比的关系。早期的OPTAMA研究重点是确定欧洲和美洲各地区多种抗生素针对大肠杆菌、肺炎克雷伯菌、鲍曼不动杆菌和铜绿假单胞菌的累积反应分数(CFR)。后来的报告考虑了引起感染的特定细菌的流行情况,以估计肺炎、血流感染、复杂性皮肤/皮肤结构感染和腹腔内感染经验性治疗的CFR。总体而言,OPTAMA计划的方法提供了一种新颖的工具,可补充药敏数据,有助于在国家、地区和机构层面选择合适的经验性抗生素治疗方案。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验