Literature DB >> 9542723

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

V K Piotrovsky1.   

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.

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Year:  1997        PMID: 9542723

Source DB:  PubMed          Journal:  Methods Find Exp Clin Pharmacol        ISSN: 0379-0355


  1 in total

1.  An indirect response model of homocysteine suppression by betaine: optimising the dosage regimen of betaine in homocystinuria.

Authors:  Angela Matthews; Trevor N Johnson; Amin Rostami-Hodjegan; Anupam Chakrapani; J Edward Wraith; Stuart J Moat; James R Bonham; Geoffrey T Tucker
Journal:  Br J Clin Pharmacol       Date:  2002-08       Impact factor: 4.335

  1 in total

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