群体药动学原理及NONMEM法数据分析  

Principle of population pharmacokinetics and data analysis by NONMEM method

作　　者：胡敏[1] 张静华[1] 孙鹤 施孝金[1] 钟明康[1] 

机构地区：[1]复旦大学附属华山医院临床药学研究室,上海200040 [2]美国食品与药品管理局

出　　处：《药学服务与研究》2002年第4期227-230,共4页Pharmaceutical Care and Research

基　　金：上海市卫生系统"百人计划"资助项目(98BR0 0 9)

摘　　要：治疗药物监测 (TDM)的核心是个体化给药 ,即充分考虑病人的生理、病理及环境因素 ,根据病人的具体情况制定更加合理、安全、有效的用药方案 [1 ] ,其关键是获得理想的个体参数。群体药动学 (population pharm acokinetics,PPK)即是将经典药动学与统计学原理相结合 ,使用零散的血药浓度测定结果 ,估算群体参数值 ,结合 Bayes反馈法 ,较准确地估算出个体参数 ,优化给药方案 ,使 TDM更切合临床实际需要。本文将对 PPK的基本原理及其 NONMEM法数据分析作一简介。The core of therapeutic drug monitoring (TDM) is individualization regime, i.e. taking the patients' physiological, pathological, and environmental factors into account to make safe and effective dosage regimes. The key of the problem is to get ideal individual pharmacokinetic parameters. Population pharmacokinetics (PPK) is a new method to combine classical pharmacokinetics with statistical principle, and use sparse data to estimate population pharmacokinetic parameters. With the help of Bayesian method, we can estimate individual parameters relatively accurately and optimize the dosage regime. The principle of population pharmacokinetics and data analysis methods are introduced in this article.

关 键 词：群体药代动力学 NONMEM 模型验证 

分 类 号：R969.1[医药卫生—药理学]