Literature DB >> 15733218

The odds that clinically unrecognized poor or partial adherence confuses population pharmacokinetic/pharmacodynamic analyses.

Bernard Vrijens1, Robert Gross, John Urquhart.   

Abstract

Electronic compilation of ambulatory patients' or trial participants' dosing histories has revealed that a wide range of dosing patterns, markedly skewed toward underdosing, occur in virtually every disease and treatment situation so far studied. In planning ambulatory trials and their analyses, one should recognize that patients' variable exposure to test drugs, created by their diversely erratic execution of protocol-specified dosing regimens, is generally the single largest source of variance in drug responses. Trial subjects' erratic dosing behaviour may, if ignored, weaken the trial's assay sensitivity. In contrast, reliably compiled and soundly analyzed dosing histories may greatly inform the analysis of the trial. Dosing histories found to be associated with suboptimal clinical results can highlight particular dosing patterns that should be avoided. Thus begins the sequence leading from first observations, to repeat observations, to ethically possible experimental designs, to causal inference, i.e., learning and then confirming. With the broadening use of electronic monitoring to estimate longitudinal drug exposure, the need exists for an explicit discipline that concerns itself with "what the patient does with the drug". It is called Pharmionics.

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Year:  2005        PMID: 15733218     DOI: 10.1111/j.1742-7843.2005.pto960312.x

Source DB:  PubMed          Journal:  Basic Clin Pharmacol Toxicol        ISSN: 1742-7835            Impact factor:   4.080


  7 in total

1.  'Hedged' prescribing for partially compliant patients.

Authors:  John Urquhart; Bernard Vrijens
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 2.  Bridging the efficacy-effectiveness gap: a regulator's perspective on addressing variability of drug response.

Authors:  Hans-Georg Eichler; Eric Abadie; Alasdair Breckenridge; Bruno Flamion; Lars L Gustafsson; Hubert Leufkens; Malcolm Rowland; Christian K Schneider; Brigitte Bloechl-Daum
Journal:  Nat Rev Drug Discov       Date:  2011-07-01       Impact factor: 84.694

3.  Effect of adherence as measured by MEMS, ritonavir boosting, and CYP3A5 genotype on atazanavir pharmacokinetics in treatment-naive HIV-infected patients.

Authors:  R M Savic; A Barrail-Tran; X Duval; G Nembot; X Panhard; D Descamps; C Verstuyft; B Vrijens; A-M Taburet; C Goujard; F Mentré
Journal:  Clin Pharmacol Ther       Date:  2012-10-03       Impact factor: 6.875

4.  The effect of reporting methods for dosing times on the estimation of pharmacokinetic parameters of escitalopram.

Authors:  Yuyan Jin; Bruce G Pollock; Ellen Frank; Jeff Florian; Margaret Kirshner; Andrea Fagiolini; David J Kupfer; Marc R Gastonguay; Gail Kepple; Yan Feng; Robert R Bies
Journal:  J Clin Pharmacol       Date:  2009-02       Impact factor: 3.126

5.  Performance of Cpred/Cobs concentration ratios as a metric reflecting adherence to antidepressant drug therapy.

Authors:  Yan Feng; Marc R Gastonguay; Bruce G Pollock; Ellen Frank; Gail H Kepple; Robert R Bies
Journal:  Neuropsychiatr Dis Treat       Date:  2011-03-17       Impact factor: 2.570

6.  Antidepressant dosage taken by patients with bipolar disorder: factors associated with irregularity.

Authors:  Rita Bauer; Tasha Glenn; Martin Alda; Kemal Sagduyu; Wendy Marsh; Paul Grof; Rodrigo Munoz; Greg Murray; Philipp Ritter; Ute Lewitzka; Emanuel Severus; Peter C Whybrow; Michael Bauer
Journal:  Int J Bipolar Disord       Date:  2013-12-09

7.  Individualized Adherence Benchmarks for HIV Pre-Exposure Prophylaxis.

Authors:  Mustafa E Ibrahim; Jose R Castillo-Mancilla; Jenna Yager; Kristina M Brooks; Lane Bushman; Laura Saba; Jennifer J Kiser; Samantha MaWhinney; Peter L Anderson
Journal:  AIDS Res Hum Retroviruses       Date:  2020-12-10       Impact factor: 1.723

  7 in total

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