Literature DB >> 12698988

Population pharmacokinetic meta-analysis with efavirenz.

J S Barrett1, A S Joshi, M Chai, T M Ludden, W D Fiske, H J Pieniaszek.   

Abstract

A population-based pharmacokinetic (PK) model has been developed for efavirenz based on 16 phase I studies. The combined data set consisted of 334 healthy volunteers, 2,907 efavirenz dose administrations and 9,342 measured plasma concentrations across a range of doses from 100-600 mg. The pharmacokinetic structural model was a 2-compartment model with first-order absorption with differentiation between single- and multiple-dose exposure to account for known hepatic cytochrome P450 induction of efavirenz metabolism. Model-building was performed on the index data set (66% of the total database), as a data-splitting technique was used to validate the final model using NONMEM. The final model confirmed the appropriateness of separate clearance terms for single and multiple dose administration (2.65 versus 10.2 l/h, respectively). Clearance increased with dose and frequency of administration. A lower clearance was predicted in Asians and Blacks relative to Caucasians. A slightly lower clearance was observed in females relative to males (9.08 compared to 10.2 l/h in males) and interactions on clearance due to co-administration of fluconazole, ritonavir, rifampin, indinavir and azithromycin were identified. The magnitudes of these effects were small and did not suggest dose adjustment in the various subpopulations. With little exception, these results agree with the findings from the non-compartmental analyses. The residual variability was 21% CV and the intersubject variation in CL/F and V/F was 48 and 85%, respectively. The phase I meta-analysis was able to substantiate the pharmacokinetic characteristics of efavirenz derived from the composite of individual well-defined studies. The model was deemed adequate for subsequent evaluation in HIV-infected patients. Covariates and outlier classes identified in this phase I meta-analysis were similarly identified in subsequent analyses of patient data.

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Year:  2002        PMID: 12698988     DOI: 10.5414/cpp40507

Source DB:  PubMed          Journal:  Int J Clin Pharmacol Ther        ISSN: 0946-1965            Impact factor:   1.366


  35 in total

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Authors:  Margalida Rotger; Chantal Csajka; Amalio Telenti
Journal:  Curr HIV/AIDS Rep       Date:  2006-09       Impact factor: 5.071

Review 2.  Sex differences in antiretroviral therapy-associated intolerance and adverse events.

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Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

3.  The Expanding Class of Non-Nucleoside Reverse Transcriptase Inhibitors for the Treatment of HIV-1 Infection.

Authors:  Jason J Schafer; Saranyu Ravi; Evelyn V Rowland; Germin Shenoda; Nicholas Leon
Journal:  P T       Date:  2011-06

4.  Amprenavir and efavirenz pharmacokinetics before and after the addition of nelfinavir, indinavir, ritonavir, or saquinavir in seronegative individuals.

Authors:  Gene D Morse; Susan Rosenkranz; Michael F Para; Yoninah Segal; Robin Difrancesco; Elizabeth Adams; Barbara Brizz; Kevin E Yarasheski; Richard C Reichman
Journal:  Antimicrob Agents Chemother       Date:  2005-08       Impact factor: 5.191

5.  Influence of CYP2B6 516G>T polymorphism and interoccasion variability (IOV) on the population pharmacokinetics of efavirenz in HIV-infected South African children.

Authors:  M Viljoen; M O Karlsson; T M Meyers; H Gous; C Dandara; M Rheeders
Journal:  Eur J Clin Pharmacol       Date:  2011-11-06       Impact factor: 2.953

6.  Pharmacokinetics of Efavirenz at a High Dose of 25 Milligrams per Kilogram per Day in Children 2 to 3 Years Old.

Authors:  Claire Pressiat; Madeleine Amorissani-Folquet; Caroline Yonaba; Jean-Marc Treluyer; Désiré Lucien Dahourou; François Eboua; Stéphane Blanche; Véronique Mea-Assande; Naïm Bouazza; Frantz Foissac; Karen Malateste; Sylvie Ouedraogo; Gabrielle Lui; Valériane Leroy; Déborah Hirt
Journal:  Antimicrob Agents Chemother       Date:  2017-06-27       Impact factor: 5.191

7.  Mechanism of efavirenz influence on methadone pharmacokinetics and pharmacodynamics.

Authors:  E D Kharasch; D Whittington; D Ensign; C Hoffer; P S Bedynek; S Campbell; K Stubbert; A Crafford; A London; T Kim
Journal:  Clin Pharmacol Ther       Date:  2012-03-07       Impact factor: 6.875

8.  The influence of tuberculosis treatment on efavirenz clearance in patients co-infected with HIV and tuberculosis.

Authors:  Tanuja N Gengiah; Nicholas H G Holford; Julia H Botha; Andrew L Gray; Kogieleum Naidoo; Salim S Abdool Karim
Journal:  Eur J Clin Pharmacol       Date:  2011-11-23       Impact factor: 2.953

Review 9.  Impact of CYP polymorphisms, ethnicity and sex differences in metabolism on dosing strategies: the case of efavirenz.

Authors:  Panjasaram Naidoo; Vasudevan V Chetty; Manoranjenni Chetty
Journal:  Eur J Clin Pharmacol       Date:  2014-01-05       Impact factor: 2.953

10.  Incidence and predictors of adverse drug events in an African cohort of HIV-infected adults treated with efavirenz.

Authors:  Isaac Okoh Abah; Maxwell Akanbi; Mercy Enuwa Abah; Amos Istifanus Finangwai; Christy W Dady; Kakjing Dadul Falang; Augustine Odoh Ebonyi; Joseph Anejo Okopi; Oche Ochai Agbaji; Altiene Solomon Sagay; Prosper Okonkwo; John A Idoko; Phyllis J Kanki
Journal:  Germs       Date:  2015-09-01
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