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间接药效学反应模型不需要将任何参数药代动力学模型拟合到效应-时间数据。

Indirect pharmacodynamic response models do not require any parametric pharmacokinetic model to be fitted to effect-time data.

作者信息

Piotrovsky V K

机构信息

Janssen Research Foundation, Beerse, Belgium.

出版信息

Methods Find Exp Clin Pharmacol. 1997 Dec;19(10):723-9.

PMID:9542723
Abstract

Indirect response models (IRM) represent one of the possible ways to explain and quantitatively describe a delayed pharmacodynamic effect at non-steady-state conditions. The standard way to get estimates of pharmacodynamic (PD) parameters of IRM consists of two steps. First, an appropriate parametric pharmacokinetic (PK) model (compartmental, polyexponential, etc.) is to be fitted to plasma concentration-time data, and then IRM is fitted to PD data having PD model as an input. In the present work it is demonstrated that a simple piecewise function which consists in interpolation lines connecting concentration-time points can be used as a universal nonparametric PK model thereby allowing to skip the first step. MS Excel spreadsheets implementing this PK model and four known versions of IRM are presented. The usefulness of the approach is demonstrated by fitting IRMs to simulated data as well as to real PK/PD data of warfarin and terbutaline. Estimates of IRM parameters obtained with the nonparametric PK model were close to that published in the literature.

摘要

间接响应模型(IRM)是解释和定量描述非稳态条件下延迟药效学效应的一种可能方法。获得IRM药效学(PD)参数估计值的标准方法包括两个步骤。首先,将合适的参数化药代动力学(PK)模型(房室模型、多指数模型等)拟合到血浆浓度-时间数据,然后将IRM拟合到以PD模型为输入的PD数据。在本研究中,证明了一个简单的分段函数(由连接浓度-时间点的插值线组成)可以用作通用的非参数PK模型,从而可以跳过第一步。展示了实现此PK模型和四个已知版本IRM的MS Excel电子表格。通过将IRM拟合到模拟数据以及华法林和特布他林的实际PK/PD数据,证明了该方法的实用性。用非参数PK模型获得的IRM参数估计值与文献中发表的值接近。

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