Literature DB >> 26837775

Methods and strategies for assessing uncontrolled drug-drug interactions in population pharmacokinetic analyses: results from the International Society of Pharmacometrics (ISOP) Working Group.

Peter L Bonate1, Malidi Ahamadi2, Nageshwar Budha3, Amparo de la Peña4, Justin C Earp5, Ying Hong6, Mats O Karlsson7, Patanjali Ravva8, Ana Ruiz-Garcia9, Herbert Struemper10, Janet R Wade11.   

Abstract

The purpose of this work was to present a consolidated set of guidelines for the analysis of uncontrolled concomitant medications (ConMed) as a covariate and potential perpetrator in population pharmacokinetic (PopPK) analyses. This white paper is the result of an industry-academia-regulatory collaboration. It is the recommendation of the working group that greater focus be given to the analysis of uncontrolled ConMeds as part of a PopPK analysis of Phase 2/3 data to ensure that the resulting outcome in the PopPK analysis can be viewed as reliable. Other recommendations include: (1) collection of start and stop date and clock time, as well as dose and frequency, in Case Report Forms regarding ConMed administration schedule; (2) prespecification of goals and the methods of analysis, (3) consideration of alternate models, other than the binary covariate model, that might more fully characterize the interaction between perpetrator and victim drug, (4) analysts should consider whether the sample size, not the percent of subjects taking a ConMed, is sufficient to detect a ConMed effect if one is present and to consider the correlation with other covariates when the analysis is conducted, (5) grouping of ConMeds should be based on mechanism (e.g., PGP-inhibitor) and not drug class (e.g., beta-blocker), and (6) when reporting the results in a publication, all details related to the ConMed analysis should be presented allowing the reader to understand the methods and be able to appropriately interpret the results.

Keywords:  Concomitant; Covariate modeling; Drug interactions; Medications; Population pharmacokinetics

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Year:  2016        PMID: 26837775     DOI: 10.1007/s10928-016-9464-2

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  29 in total

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7.  Population pharmacokinetics of tolcapone in parkinsonian patients in dose finding studies.

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Authors:  L B Sheiner; S L Beal
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