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药代动力学/药效学建模与模拟,以确定多利培南的有效剂量方案。

Pharmacokinetic/pharmacodynamic modeling and simulation to determine effective dosage regimens for doripenem.

机构信息

Clinical Research Department, Shionogi & Co., Ltd, Sagisu 5-12-4, Fukushima-ku, Osaka 553-0002, Japan.

出版信息

J Pharm Sci. 2010 May;99(5):2483-91. doi: 10.1002/jps.21997.

Abstract

The aim of this study was to obtain information on effective dosage regimens of doripenem by a modeling and simulation approach based on pharmacokinetic (PK)/pharmacodynamic (PD) theory. The PK/PD model we have already developed was modified to explain in vitro bactericidal kinetics of doripenem for several Pseudomonas aeruginosa strains. Time-course profiles of bacterial counts in patients infected with P. aeruginosa were simulated for typical clinical dosage regimens in Japan considering the variability of PK and the patients' backgrounds by a Monte Carlo simulation. Moreover, time-course profiles of probability achieving the criterion (log(CFU/mL) < 0) were predicted for the evaluation of antibacterial efficacy by renal function. The in vitro bacterial profiles at various dosage regimens could be well explained by the PK/PD model. The simulations suggested the dependence of antibacterial efficacy on the frequency of administration, indicating time-dependent antibacterial activity. It was also suggested that 500 mg t.i.d. showed significant bacterial reduction in patients for any degree of renal function and any severities in 2 weeks after the start of treatment. Our approach to simulate time-course profiles of bacterial counts should be useful for determining and examining effective dosage regimens, including the treatment period, in drug development.

摘要

本研究旨在通过基于药代动力学(PK)/药效学(PD)理论的建模和模拟方法获得多利培南的有效剂量方案信息。我们已经开发的 PK/PD 模型经过修改,以解释多利培南对几种铜绿假单胞菌菌株的体外杀菌动力学。通过蒙特卡罗模拟,考虑到 PK 的变异性和患者背景,为日本典型的临床剂量方案模拟了感染铜绿假单胞菌患者的细菌计数时间过程曲线。此外,还预测了根据肾功能评估抗菌疗效的达标概率(log(CFU/mL) < 0)的时间过程曲线。各种剂量方案下的体外细菌曲线可以很好地用 PK/PD 模型来解释。模拟表明抗菌疗效取决于给药频率,表明具有时间依赖性的抗菌活性。还表明,在治疗开始后 2 周内,对于任何程度的肾功能和任何严重程度的患者,500mg 每日 3 次的治疗方案均可显著减少细菌。我们模拟细菌计数时间过程曲线的方法对于确定和检查药物开发中的有效剂量方案(包括治疗期)可能是有用的。

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