Literature DB >> 25801557

Population pharmacokinetic analysis of voriconazole from a pharmacokinetic study with immunocompromised Japanese pediatric subjects.

Chieko Muto1, Satoshi Shoji2, Yoshiro Tomono2, Ping Liu3.   

Abstract

A population pharmacokinetic (PK) analysis was conducted to characterize the voriconazole pharmacokinetic profiles in immunocompromised Japanese pediatric subjects and to compare them to those in immunocompromised non-Japanese pediatric subjects. A previously developed two-compartment pharmacokinetic model with first-order absorption and mixed linear and nonlinear elimination adequately described the voriconazole intravenous and oral data from Japanese pediatric subjects with few modifications. Bayesian priors were applied to this analysis by using the NONMEM routine NWPRI, which allowed priors for the fixed-effect parameter vector and variance matrix of the random-effect parameters to be a normal distribution and an inverse Wishart distribution, respectively. Large intersubject variabilities in oral bioavailability and voriconazole exposure were observed in these pediatric subjects. The mean oral bioavailability estimated in Japanese pediatric subjects was 73% (range, 17% to 99%), which is consistent with the reported estimates of 64% in the previous model and less than what was originally estimated for healthy adults-96%. Voriconazole exposures in Japanese pediatric subjects were generally comparable to those in non-Japanese pediatric subjects receiving the same dosing regimens, given the large intersubject variability. Consistent with the previous findings, the CYP2C19 genotyping status did not have a clinically relevant effect on voriconazole exposure in Japanese pediatric subjects, although it was identified as a covariate in the model to help explain the intersubject variability in voriconazole exposure. The CYP2C19 genotyping status alone does not warrant dose adjustment of voriconazole. No other factors besides age and weight were identified to explain the PK variability of voriconazole.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 25801557      PMCID: PMC4432127          DOI: 10.1128/AAC.04993-14

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  10 in total

1.  Integrated population pharmacokinetic analysis of voriconazole in children, adolescents, and adults.

Authors:  Lena E Friberg; Patanjali Ravva; Mats O Karlsson; Ping Liu
Journal:  Antimicrob Agents Chemother       Date:  2012-03-19       Impact factor: 5.191

2.  Use of prior information to stabilize a population data analysis.

Authors:  Per O Gisleskog; Mats O Karlsson; Stuart L Beal
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-12       Impact factor: 2.745

3.  Semiparametric distributions with estimated shape parameters.

Authors:  Klas J F Petersson; Eva Hanze; Radojka M Savic; Mats O Karlsson
Journal:  Pharm Res       Date:  2009-07-01       Impact factor: 4.200

4.  Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models.

Authors:  Martin Bergstrand; Andrew C Hooker; Johan E Wallin; Mats O Karlsson
Journal:  AAPS J       Date:  2011-02-08       Impact factor: 4.009

Review 5.  Pharmacokinetic/pharmacodynamic profile of voriconazole.

Authors:  Ursula Theuretzbacher; Franziska Ihle; Hartmut Derendorf
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

6.  Pharmacokinetics and safety of voriconazole intravenous-to-oral switch regimens in immunocompromised Japanese pediatric patients.

Authors:  Masaaki Mori; Ryoji Kobayashi; Koji Kato; Naoko Maeda; Keitaro Fukushima; Hiroaki Goto; Masami Inoue; Chieko Muto; Akifumi Okayama; Kenichi Watanabe; Ping Liu
Journal:  Antimicrob Agents Chemother       Date:  2014-12-01       Impact factor: 5.191

7.  Genotyping of S-mephenytoin 4'-hydroxylation in an extended Japanese population.

Authors:  T Kubota; K Chiba; T Ishizaki
Journal:  Clin Pharmacol Ther       Date:  1996-12       Impact factor: 6.875

Review 8.  Voriconazole: a new triazole antifungal agent.

Authors:  Leonard B Johnson; Carol A Kauffman
Journal:  Clin Infect Dis       Date:  2003-02-10       Impact factor: 9.079

9.  Identification of the cytochrome P450 enzymes involved in the N-oxidation of voriconazole.

Authors:  R Hyland; B C Jones; D A Smith
Journal:  Drug Metab Dispos       Date:  2003-05       Impact factor: 3.922

10.  Frequencies of the defective CYP2C19 alleles responsible for the mephenytoin poor metabolizer phenotype in various Oriental, Caucasian, Saudi Arabian and American black populations.

Authors:  J A Goldstein; T Ishizaki; K Chiba; S M de Morais; D Bell; P M Krahn; D A Evans
Journal:  Pharmacogenetics       Date:  1997-02
  10 in total
  11 in total

1.  Pharmacokinetics of Commonly Used Medications in Children Receiving Continuous Renal Replacement Therapy: A Systematic Review of Current Literature.

Authors:  Samuel Dubinsky; Kevin Watt; Steven Saleeb; Bilal Ahmed; Caitlin Carter; Cindy H T Yeung; Andrea Edginton
Journal:  Clin Pharmacokinet       Date:  2021-11-30       Impact factor: 6.447

Review 2.  Voriconazole: A Review of Population Pharmacokinetic Analyses.

Authors:  Changcheng Shi; Yubo Xiao; Yong Mao; Jing Wu; Nengming Lin
Journal:  Clin Pharmacokinet       Date:  2019-06       Impact factor: 6.447

Review 3.  Contribution of Population Pharmacokinetics of Glycopeptides and Antifungals to Dosage Adaptation in Paediatric Onco-hematological Malignancies: A Review.

Authors:  Stéphanie Leroux; Françoise Mechinaud-Heloury; Evelyne Jacqz-Aigrain
Journal:  Front Pharmacol       Date:  2021-04-01       Impact factor: 5.810

4.  Application of a Physiologically Based Pharmacokinetic Model to Characterize Time-dependent Metabolism of Voriconazole in Children and Support Dose Optimization.

Authors:  Yahui Zhang; Sixuan Zhao; Chuhui Wang; Pengxiang Zhou; Suodi Zhai
Journal:  Front Pharmacol       Date:  2021-03-17       Impact factor: 5.810

5.  Application of modified Michaelis - Menten equations for determination of enzyme inducing and inhibiting drugs.

Authors:  Saganuwan Alhaji Saganuwan
Journal:  BMC Pharmacol Toxicol       Date:  2021-10-11       Impact factor: 2.483

Review 6.  Clinical Pharmacokinetics of Triazoles in Pediatric Patients.

Authors:  Didi Bury; Wim J E Tissing; Eline W Muilwijk; Tom F W Wolfs; Roger J Brüggemann
Journal:  Clin Pharmacokinet       Date:  2021-05-18       Impact factor: 5.577

7.  CYP2C19 Phenotype and Body Weight-Guided Voriconazole Initial Dose in Infants and Children after Hematopoietic Cell Transplantation.

Authors:  Takuto Takahashi; Maryam A Mohamud; Angela R Smith; Pamala A Jacobson; Mutaz M Jaber; Abeer F Alharbi; James Fisher; Mark N Kirstein
Journal:  Antimicrob Agents Chemother       Date:  2021-08-17       Impact factor: 5.191

8.  A Bayesian Approach for Population Pharmacokinetic Modeling of Alcohol in Japanese Individuals.

Authors:  Asuka Nemoto; Matsuura Masaaki; Kazue Yamaoka
Journal:  Curr Ther Res Clin Exp       Date:  2017-04-10

Review 9.  Prevention of Infectious Complications in Patients With Chronic Granulomatous Disease.

Authors:  Maria A Slack; Isaac P Thomsen
Journal:  J Pediatric Infect Dis Soc       Date:  2018-05-09       Impact factor: 3.164

Review 10.  Prior information for population pharmacokinetic and pharmacokinetic/pharmacodynamic analysis: overview and guidance with a focus on the NONMEM PRIOR subroutine.

Authors:  Anna H-X P Chan Kwong; Elisa A M Calvier; David Fabre; Florence Gattacceca; Sonia Khier
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-06-13       Impact factor: 2.745

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