Literature DB >> 17053982

A pharmacokinetic formalism explicitly integrating the patient drug compliance.

Jun Li1, Fahima Nekka.   

Abstract

The adherence phenomenon is now well recognized to seriously compromise drug efficacy. In this paper, we analyze the role of compliance through drug intake history as an integral part of the pharmacokinetic process. Being concerned with what is accessible in medical practice, we develop a stochastic approach to model the drug intake behavior that we combine with a conventional pharmacokinetic model in order to investigate the effect of drug intake history on the pharmacokinetic time-course. For this purpose, we explicitly formalize the plasma concentration variations for the most common administration routes. This analytical approach allows to characterize drug concentration variations directly inherited from patient compliance.

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Year:  2006        PMID: 17053982     DOI: 10.1007/s10928-006-9036-y

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


  9 in total

1.  Relationship between daily dose frequency and adherence to antihypertensive pharmacotherapy: evidence from a meta-analysis.

Authors:  Michael Iskedjian; Thomas R Einarson; Linda D MacKeigan; Neil Shear; Antonio Addis; Nicole Mittmann; A Lane Ilersich
Journal:  Clin Ther       Date:  2002-02       Impact factor: 3.393

2.  Mathematical formulation for nonuniform multiple dosing.

Authors:  J R Howell
Journal:  J Pharm Sci       Date:  1975-03       Impact factor: 3.534

3.  Calculation of plasma level versus time profiles for variable dosing regimens.

Authors:  P J Niebergall; E T Sugita; R L Schnaare
Journal:  J Pharm Sci       Date:  1974-01       Impact factor: 3.534

4.  Patient adherence to prescribed antimicrobial drug dosing regimens.

Authors:  Bernard Vrijens; John Urquhart
Journal:  J Antimicrob Chemother       Date:  2005-03-16       Impact factor: 5.790

5.  Model-independent linear pharmacokinetic equations for variable dosing regimens.

Authors:  E M Faed
Journal:  Biopharm Drug Dispos       Date:  1981 Jul-Sep       Impact factor: 1.627

6.  Prediction of multiple-dose blood level curves of drugs administered four times daily at non-uniform dosing intervals.

Authors:  P K Ng
Journal:  Int J Biomed Comput       Date:  1981-05

7.  Electronic monitoring of variation in drug intakes can reduce bias and improve precision in pharmacokinetic/pharmacodynamic population studies.

Authors:  Bernard Vrijens; Els Goetghebeur
Journal:  Stat Med       Date:  2004-02-28       Impact factor: 2.373

8.  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

9.  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

  9 in total
  13 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

2.  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

3.  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

4.  A pharmacometric case study regarding the sensitivity of structural model parameter estimation to error in patient reported dosing times.

Authors:  Jonathan Knights; Shashank Rohatagi
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-07-26       Impact factor: 2.745

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

Authors:  Olivier Barrière; Jun Li; Fahima Nekka
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-12-19       Impact factor: 2.745

6.  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

7.  Variability and singularity arising from poor compliance in a pharmacokinetic model I: the multi-IV case.

Authors:  Pierre-Emmanuel Lévy Véhel; Jacques Lévy Véhel
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-12-30       Impact factor: 2.745

8.  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

9.  Antimicrobial breakpoint estimation accounting for variability in pharmacokinetics.

Authors:  Goue Denis Gohore Bi; Jun Li; Fahima Nekka
Journal:  Theor Biol Med Model       Date:  2009-06-26       Impact factor: 2.432

10.  Enrofloxacin Dose Optimization for the Treatment of Colibacillosis in Broiler Chickens Using a Drinking Behaviour Pharmacokinetic Model.

Authors:  Robin Temmerman; Ludovic Pelligand; Wim Schelstraete; Gunther Antonissen; An Garmyn; Mathias Devreese
Journal:  Antibiotics (Basel)       Date:  2021-05-19
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