Literature DB >> 22927120

Bioequivalence of long half-life drugs--informative sampling determination--using truncated area in parallel-designed studies for slow sustained-release formulations.

Ahmed El-Tahtawy1, Ferrin Harrison, Jeanne Fourie Zirkelbach, Andre J Jackson.   

Abstract

A simulation study was done to determine if 72 h is the most informative sampling duration for bioequivalence (BE) determination in parallel-designed BE studies with drugs that have half-lives of at least 30 h. The impact of absorption and elimination half-lives on informative sampling was evaluated. Two-treatment parallel-designed BE studies using a one-compartment oral absorption model with half-lives of 30 and 350 h was simulated. Area under the curve (AUC) values were truncated at 12-360 h. Experimental BE data [median time to reach the maximum concentration (T(max) ) = 20 h and low clearance = 0.192 L/h) indicated a decrease and then an increase in the intrasubject variability [root mean square error (RMSE)] for truncated AUC as a function of time. Simulations supported these findings with the highest probability of passing the BE confidence interval criteria being between 60 and 96 h, depending on half-life and percent coefficient of variation. The 30-h simulation exhibited a minimum in RMSE at 24-h truncation that continued to increase up to 360 h, whereas the 350-h simulation exhibited a minimum at 60 h, which increased after 96 h. Power curves at the 350-h half-life showed higher probabilities of rejection of BE for true test/reference ratios greater than 0.9. For parallel-designed BE studies, sampling beyond 120 h will not affect the BE decision and therefore is unnecessary.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22927120     DOI: 10.1002/jps.23296

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  1 in total

1.  Evaluation of a Scenario in Which Estimates of Bioequivalence Are Biased and a Proposed Solution: tlast (Common).

Authors:  Dennis Fisher; William Kramer; Elise Burmeister Getz
Journal:  J Clin Pharmacol       Date:  2015-12-28       Impact factor: 3.126

  1 in total

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