摘要
常见病原微生物对抗微生物药物的耐药性正逐渐增加,为了达到最佳治疗效果,临床用药必须根据药动学与药效学数据调整给药方案。药动学能够提供药物浓度在组织、体液和感染部位的经时过程,而药效学则反映药物对致病菌的杀灭或抑制能力。蒙特卡罗模拟法则是利用统计学抽样来获得数学方程的近似解的一种方法,目前采用蒙特卡罗模拟法进行实时模拟正成为国际上研究抗微生物药物的药动学和药效学的热点。论文就蒙特卡罗模拟法的原理、拟合过程及其在估算细菌对药物的敏感性折点、比较药动-药效参数以选择最优药物等方面做一综述。
The increasing antimicrobial resistance to common pathogens has led to a reevaluation of the selection of antimicrobial dosing regimens in terms of their pharmacokinetics （PK） and pharmacodynamics （PD） properties. Pharmacokinetics can help determine the time course of drug concentrations in the tissues, body fluids, and at the site of infection. Pharmacodynamics reflects the drug＇s ability to kill or inhibit pathogens. Monte Carlo simulation （MCS） is a method that uses statistical sampling to obtain approximate solutions to mathematical equations. The use of computer modeling with MCS is popular in the research of antimicrobial drug＇s PK and PD. A brief review of literature on the theory and method of MCS and the application of MCS in the evaluation of susceptibility breakpoints was reviewed.
出处
《动物医学进展》
CSCD
北大核心
2009年第7期83-87,共5页
Progress In Veterinary Medicine
关键词
蒙特卡罗模拟法
抗微生物药物
药动学
药效学
Monte Carlo simulation
antimicrobial drug
pharmacokinetics
pharmacodynamics
