PARTIAL-AREA METHOD IN BIOEQUIVALENCE ASSESSMENT - NAPROXEN

Citation
Sk. Niazi et al., PARTIAL-AREA METHOD IN BIOEQUIVALENCE ASSESSMENT - NAPROXEN, Biopharmaceutics & drug disposition, 18(2), 1997, pp. 103-116
Citations number
36
Categorie Soggetti
Pharmacology & Pharmacy",Biology
ISSN journal
01422782
Volume
18
Issue
2
Year of publication
1997
Pages
103 - 116
Database
ISI
SICI code
0142-2782(1997)18:2<103:PMIBA->2.0.ZU;2-B
Abstract
Regulatory authorities require demonstration of bioequivalence through comparisons of different pharmacokinetic parameters, the area under t he plasma concentration-time curve (AUC), the maximum plasma concentra tion (C-max), and the time to reach peak concentration (T-max). The ap plicability and validity of regulatory requirements have been widely c riticized on statistical and clinical relevance grounds. For most nonc omplicated absorption models, the AUC correlates well with the extent of absorption. However, in nonlinear models of absorption, in mechanis ms involving recycling of drugs, and for drugs with long half-life, th e use of total AUC (from zero to infinity) can give erroneous and clin ically irrelevant results since the area is mostly determined by elimi nation phase or by recycling. The calculation of total AUC also involv es prolonged sampling, adding to the cost and risks associated with bi oequivalence studies. The use of C-max or T-max as a measure of rate o f absorption, to correlate with clinical relevance, is widely criticiz ed on logical, technical, and statistical grounds. For drugs used on a multiple-dose basis, C-max and T-max evaluations become redundant sin ce the average plateau concentration is not affected by these paramete rs. To resolve the drawbacks in the traditional methodology of bioequi valence evaluation, the use of partial areas in lieu of total AUC, T-m ax and C-max is suggested. This study investigates the logic and robus tness of the partial-area method in establishing bioequivalence. We co nclude that the 5 h AUC is a more relevant parameter to establish napr oxen bioequivalence than AUC(inf). We recommend against using symmetri cal confidence intervals and report excellent agreement among several methods of calculating confidence intervals, probability values, and n onparametric tests. We suggest that a single-point short-term AUC is a better indicator of the bioequivalence of generic products than the t otal AUC, C-max and T-max as required currently by the regulatory auth orities. (C) 1997 by John Wiley & Sons, Ltd.