Hoffmann La-Roche, Inc, Nutley, New Jersey, USA.
Antimicrob Agents Chemother. 2013 Aug;57(8):3470-7. doi: 10.1128/AAC.02438-12. Epub 2013 May 13.
Oseltamivir is a potent inhibitor of influenza virus neuraminidase enzymes essential for viral replication. This study aimed to investigate the impact of covariates on pharmacokinetic (PK) variability of oseltamivir and its active metabolite form, oseltamivir carboxylate (OC). Dosing history, plasma drug concentrations, and demographic information were pooled from 13 clinical trials providing data for 390 healthy and infected subjects ranging in age from 1 to 78 years and given oseltamivir doses of 20 to 1,000 mg. Candidate population PK models simultaneously characterizing the time course of oseltamivir and OC in plasma were evaluated by using the NONMEM software program, and subject covariates were assessed using stepwise forward selection (α = 0.01) and backward elimination (α = 0.001). A two-compartment model with first-order absorption of oseltamivir and first-order conversion of oseltamivir to OC and a one-compartment model with first-order elimination of OC were utilized. Body weight when evaluated using a power function was a significant predictor of the apparent oseltamivir clearance and both apparent OC clearance (CL(m)/F) and central volume of distribution (Vc(m)/F). Creatinine clearance was a significant predictor of CL(m)/F, while Vc(m)/F also decreased linearly with age. A visual predictive check indicated that the final model described oseltamivir and OC concentrations in plasma adequately across dose regimens and subject covariate ranges. Concordance of population mean and individual post hoc predictions of maximum concentration of drug at steady state (C(max)) and area under the plasma drug concentration-time curve from 0 to 24 h at steady state (AUC(0-24)) was high (r(2) = 0.81 and 0.71, respectively). In conclusion, a comprehensive population PK model was constructed to bridge the adult to pediatric oseltamivir PK data, allowing for reasonable estimation of the PK of OC using subject demographic data alone.
奥司他韦是一种有效的流感病毒神经氨酸酶抑制剂,对病毒复制至关重要。本研究旨在探讨协变量对奥司他韦及其活性代谢物奥司他韦羧酸(OC)药代动力学(PK)变异性的影响。来自 13 项临床试验的数据被合并,这些试验共纳入 390 名年龄在 1 至 78 岁的健康和感染受试者,接受了 20 至 1000 毫克的奥司他韦剂量。使用 NONMEM 软件程序评估了同时描述血浆中奥司他韦和 OC 时间过程的候选人群 PK 模型,并使用逐步正向选择(α=0.01)和反向消除(α=0.001)评估了受试者协变量。奥司他韦的吸收呈一级动力学,奥司他韦转化为 OC 呈一级动力学,OC 的消除呈一级动力学,采用双室模型;OC 采用一室模型。体重采用幂函数评估,是表观奥司他韦清除率和表观 OC 清除率(CL(m)/F)和中央分布容积(Vc(m)/F)的显著预测因子。肌酐清除率是 CL(m)/F 的显著预测因子,而 Vc(m)/F 也随年龄呈线性下降。视觉预测检查表明,最终模型充分描述了不同剂量方案和受试者协变量范围内的奥司他韦和 OC 在血浆中的浓度。群体平均和个体事后预测稳态最大药物浓度(C(max))和稳态下 0 至 24 小时内血浆药物浓度-时间曲线下面积(AUC(0-24))的一致性很高(r(2)分别为 0.81 和 0.71)。总之,构建了一个全面的群体 PK 模型,将成人奥司他韦 PK 数据与儿科数据相联系,仅使用受试者人口统计学数据即可合理估计 OC 的 PK。