A population pharmacokinetic-pharmacodynamic analysis of repeated measures time-to-event pharmacodynamic responses: the antiemetic effect of ondansetron.

E H Cox, C Veyrat-Follet, S L Beal, E Fuseau, S Kenkare, L B Sheiner
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Abstract

This paper presents and illustrates methodology for specifying, estimating, and evaluating a predictive model for repeated measures time-to-event responses. The illustrative example specifies a model of the antiemetic effect vs. concentration relationship for the 5-HT3 antagonist ondansetron in the human ipecac model for emesis. A key part of this model is a time-dependent log hazard function for emesis that is increased by ipecac administration and decreased by ondansetron concentration. The model is fit using an approximate maximum likelihood method. The data consist of the time free of emeses and, for those individuals with emetic episodes, the time(s) of the episode(s). Model evaluation is accomplished using residual plots adapted to time-to-event data and a "posterior predictive check" wherein observed data statistics are compared to those obtained from data simulated from the fitted model. The ondansetron concentration required to obtain a 50% reduction in the hazard of emesis is estimated to be 1.4 +/- 0.2 ng/ml, and the rate constant for elimination of ipecac-induced hazard is 1.5 +/- 0.2 hr-1.

重复测量时间-事件药效学反应的人群药代动力学-药效学分析:昂丹司琼的止吐作用。
本文提出并说明了用于指定、估计和评估用于重复测量时间到事件响应的预测模型的方法。示例说明了在人类吐根模型中5-HT3拮抗剂昂丹司琼的止吐效果与浓度关系的模型。该模型的一个关键部分是随时间变化的吐吐对数危险函数,吐吐随吐根的使用而增加,随昂丹司琼浓度的增加而减少。采用近似极大似然法对模型进行拟合。数据包括无呕吐的时间,对于有呕吐事件的个体,包括呕吐事件的时间。模型评估是使用适应事件时间数据的残差图和“后验预测检查”来完成的,其中观察到的数据统计与从拟合模型模拟的数据中获得的数据进行比较。估计使呕吐危险降低50%所需的昂丹司琼浓度为1.4 +/- 0.2 ng/ml,消除吐根引起的危险的速率常数为1.5 +/- 0.2 hr-1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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