Literature DB >> 1637984

Estimating compliance to study medication from serum drug levels: application to an AIDS clinical trial of zidovudine.

L L Lim1.   

Abstract

This paper examines the use of serum drug levels to assess compliance to study medication in a clinical trial. We discuss problems of false-positivity, false-negativity, and bias that arise because of experimental errors in the drug assays, pharmacokinetic variations of the drug, and differential dosing levels. Basic concepts in probability are applied to derive a simple model that quantifies these problems. This model is used to obtain an estimate of compliance rate that corrects for these problems. However, derivation of this estimate requires additional information about false-positive and false-negative rates of the assay as well as some knowledge of the pharmacokinetic properties of the drug. We illustrate the evaluation of such a compliance estimate in the setting of an AIDS clinical trial of zidovudine (ZDV), in which some accessory data are available on the properties of ZDV serum assays and on the pharmacokinetic behavior of ZDV. We also describe a method that uses the accessory data to provide the additional information needed for computing the compliance estimate.

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Year:  1992        PMID: 1637984

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  5 in total

1.  Pharmacokinetically based estimation of patient compliance with oral anticancer chemotherapies: in silico evaluation.

Authors:  Emilie Hénin; Michel Tod; Véronique Trillet-Lenoir; Catherine Rioufol; Brigitte Tranchand; Pascal Girard
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

2.  Selecting reliable pharmacokinetic data for explanatory analyses of clinical trials in the presence of possible noncompliance.

Authors:  J Lu; J M Gries; D Verotta; L B Sheiner
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-08       Impact factor: 2.745

3.  An alternative method for population pharmacokinetic data analysis under noncompliance.

Authors:  Pankaj Gupta; Matthew M Hutmacher; Bill Frame; Raymond Miller
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-02-26       Impact factor: 2.745

4.  Methods to account for inaccuracies in the dosing history when performing population pharmacokinetic analysis.

Authors:  Venkata V Pavan Kumar; Stephen B Duffull
Journal:  Pharm Res       Date:  2008-07-08       Impact factor: 4.200

5.  Estimation of population pharmacokinetic parameters in the presence of non-compliance.

Authors:  Song Mu; Thomas M Ludden
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-02       Impact factor: 2.745

  5 in total

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