Literature DB >> 23250805

Compliance spectrum as a drug fingerprint of drug intake and drug disposition.

Olivier Barrière1, Jun Li, Fahima Nekka.   

Abstract

Since drug related variability arises from different origins, particularly driven by the behaviour or physiology of the patient, the problems of drug intake and drug disposition are separately presented in general. To overcome the potential drawbacks of this artificial split, we propose in this paper a combined illustrative approach, named compliance spectrum, such that these two subprocesses can be equitably studied and visualized. We construct the compliance spectrum based on the Bayesian decision method we previously developed for the inverse problem of patient compliance within the framework of Population-PK. This spectrum provides an intuitive and interactive way to evaluate the relationship between drug intake and drug disposition along with their consequences on PK profile. As well, it opens a new direction for model quality diagnostic.

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Year:  2012        PMID: 23250805     DOI: 10.1007/s10928-012-9285-x

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


  17 in total

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Authors:  Terrence F Blaschke; Lars Osterberg; Bernard Vrijens; John Urquhart
Journal:  Annu Rev Pharmacol Toxicol       Date:  2011-09-19       Impact factor: 13.820

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3.  Modelling the association between adherence and viral load in HIV-infected patients.

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Journal:  Stat Med       Date:  2005-09-15       Impact factor: 2.373

4.  A probabilistic approach for the evaluation of pharmacological effect induced by patient irregular drug intake.

Authors:  Jun Li; Fahima Nekka
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-06-25       Impact factor: 2.745

5.  Compliance descriptors: analysis and evaluation in terms of therapeutic effect.

Authors:  Sarem Sarem; Jun Li; Fahima Nekka
Journal:  Biopharm Drug Dispos       Date:  2010-12-28       Impact factor: 1.627

6.  'Better adherence vital in AIDS therapies'.

Authors:  C Macilwain
Journal:  Nature       Date:  1997-11-27       Impact factor: 49.962

7.  A Bayesian approach for the estimation of patient compliance based on the last sampling information.

Authors:  Olivier Barrière; Jun Li; Fahima Nekka
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-03-29       Impact factor: 2.745

8.  Successful projection of the time course of drug concentration in plasma during a 1-year period from electronically compiled dosing-time data used as input to individually parameterized pharmacokinetic models.

Authors:  Bernard Vrijens; Eric Tousset; Richard Rode; Richard Bertz; Steve Mayer; John Urquhart
Journal:  J Clin Pharmacol       Date:  2005-04       Impact factor: 3.126

9.  Prediction of diltiazem plasma concentration curves from limited measurements using compliance data.

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Journal:  Clin Pharmacokinet       Date:  1992-03       Impact factor: 6.447

10.  A Markov mixed effect regression model for drug compliance.

Authors:  P Girard; T F Blaschke; H Kastrissios; L B Sheiner
Journal:  Stat Med       Date:  1998-10-30       Impact factor: 2.373

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  1 in total

1.  Variability and singularity arising from poor compliance in a pharmacokinetic model II: the multi-oral case.

Authors:  Lisandro J Fermín; Jacques Lévy-Véhel
Journal:  J Math Biol       Date:  2016-07-18       Impact factor: 2.259

  1 in total

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