Literature DB >> 22270321

Population pharmacokinetic modelling of S-warfarin to evaluate the design of drug-drug interaction studies for CYP2C9.

Kerenaftali Klein1, Ivelina Gueorguieva, Leon Aarons.   

Abstract

This study is to assess pharmacokinetic (PK) sampling time schedules and trial size requirements of drug-drug interaction (DDI) studies for CYP2C9, based on S-warfarin population PK models. S-warfarin plasma concentrations from eight DDI studies were utilized to develop S-warfarin population PK models. Optimal PK sampling times were obtained that minimized mean squared error of geometric mean of the area under the concentration-time curve (AUC(0-∞)). The powers and type I error rates of testing the equivalences of the geometric means of AUC(0-∞) only and AUC(0-∞) and maximum concentration (C (max)), jointly, were assessed via simulation for two-by-two cross-over designs. The results were compared to those from three bioequivalence sample size calculation methods. Two-compartment population PK models with first order absorption were established for non-Asian and Asian subjects. The optimal PK sampling times of size 17 per individual per period were found to be 0.0, 0.5, 1.0, 2.0, 4.0, 6.0, 10.0, 12.0, 16.0, 24.0, 36.0, 48.0, 60.0, 72.0, 96.0, 120.0, 144.0 h post a single oral dose of 25 mg warfarin. For non-Asian subjects, the minimum numbers of subjects required per trial with the optimal PK sampling schedule to achieve 80% power and 5% type I error rate, ranged from 6 to 19 for the equivalence of AUC(0-∞) and C (max) jointly. It has been demonstrated that appropriately selected PK sampling time points can greatly increase the corresponding power of the study without increasing the number of subjects, especially when the true ratio is near the default bioequivalence boundary (0.8-1.25).

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22270321     DOI: 10.1007/s10928-011-9235-z

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


  35 in total

1.  American Heart Association/American College of Cardiology Foundation guide to warfarin therapy.

Authors:  Jack Hirsh; Valentin Fuster; Jack Ansell; Jonathan L Halperin
Journal:  J Am Coll Cardiol       Date:  2003-05-07       Impact factor: 24.094

2.  A PK-PD model for predicting the impact of age, CYP2C9, and VKORC1 genotype on individualization of warfarin therapy.

Authors:  A-K Hamberg; M-L Dahl; M Barban; M G Scordo; M Wadelius; V Pengo; R Padrini; E N Jonsson
Journal:  Clin Pharmacol Ther       Date:  2007-02-14       Impact factor: 6.875

3.  Sample size determination for proving equivalence based on the ratio of two means for normally distributed data.

Authors:  D Hauschke; M Kieser; E Diletti; M Burke
Journal:  Stat Med       Date:  1999-01-15       Impact factor: 2.373

4.  Experimental design for estimating integrals by numerical quadrature, with applications to pharmacokinetic studies.

Authors:  D Katz; D Z D'Argenio
Journal:  Biometrics       Date:  1983-09       Impact factor: 2.571

Review 5.  Clinical consequences of cytochrome P450 2C9 polymorphisms.

Authors:  Julia Kirchheiner; Jürgen Brockmöller
Journal:  Clin Pharmacol Ther       Date:  2005-01       Impact factor: 6.875

6.  Association between CYP2C9 genetic variants and anticoagulation-related outcomes during warfarin therapy.

Authors:  Mitchell K Higashi; David L Veenstra; L Midori Kondo; Ann K Wittkowsky; Sengkeo L Srinouanprachanh; Fred M Farin; Allan E Rettie
Journal:  JAMA       Date:  2002-04-03       Impact factor: 56.272

7.  The use of mechanistic DM-PK-PD modelling to assess the power of pharmacogenetic studies -CYP2C9 and warfarin as an example.

Authors:  Gemma L Dickinson; Martin S Lennard; Geoffrey T Tucker; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2007-02-12       Impact factor: 4.335

8.  Ethnic differences in the population pharmacokinetics and pharmacodynamics of warfarin.

Authors:  Eunice Yuen; Ivelina Gueorguieva; Stephen Wise; Danny Soon; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-11-26       Impact factor: 2.745

9.  Interethnic variability of warfarin maintenance requirement is explained by VKORC1 genotype in an Asian population.

Authors:  Soo-Chin Lee; Swee-Siang Ng; Johannes Oldenburg; Pei-Yi Chong; Simone Rost; Jia-Yi Guo; Hui-Ling Yap; Sheila Clare Rankin; Hui-Boon Khor; Tiong-Cheng Yeo; Kheng-Siang Ng; Richie Soong; Boon-Cher Goh
Journal:  Clin Pharmacol Ther       Date:  2006-03       Impact factor: 6.875

10.  Effect of the novel oral dipeptidyl peptidase IV inhibitor vildagliptin on the pharmacokinetics and pharmacodynamics of warfarin in healthy subjects.

Authors:  Yan-Ling He; Ron Sabo; Gilles-Jacques Riviere; Gangadhar Sunkara; Selene Leon; Monica Ligueros-Saylan; Mitchell Rosenberg; William P Dole; Dan Howard
Journal:  Curr Med Res Opin       Date:  2007-05       Impact factor: 2.580

View more
  1 in total

1.  Effects of etravirine on the pharmacokinetics and pharmacodynamics of warfarin in rats.

Authors:  J John; M John; L Wu; C Hsiao; C V Abobo; D Liang
Journal:  Br J Pharmacol       Date:  2013-04       Impact factor: 8.739

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.