Evaluation of area under the concentration curve adjusted by the terminal-phase as a metric to reduce the impact of variability in bioequivalence testing.

between occasion variability bioequivalence clearance crossover terminal-phase adjusted area under the concentration curve

Journal

British journal of clinical pharmacology
ISSN: 1365-2125
Titre abrégé: Br J Clin Pharmacol
Pays: England
ID NLM: 7503323

Informations de publication

Date de publication:
02 2022
Historique:
revised: 29 06 2021
received: 12 11 2020
accepted: 05 07 2021
pubmed: 18 7 2021
medline: 12 4 2022
entrez: 17 7 2021
Statut: ppublish

Résumé

To quantify the utility of a terminal-phase adjusted area under the concentration curve method in increasing the probability of a correct and conclusive outcome of a bioequivalence (BE) trial for highly variable drugs when clearance (CL) varies more than the volume of distribution (V). Data from a large population of subjects were generated with variability in CL and V, and used to simulate a two-period, two-sequence crossover BE trial. The 90% confidence interval for formulation comparison was determined following BE assessment using the area under the concentration curve (AUC) ratio test, and the proposed terminal-phase adjusted AUC ratio test. An outcome of bioequivalent, nonbioequivalent or inconclusive was then assigned according to predefined BE limits. When CL varied more than V, the proposed approach enhanced the probability of correctly assigning bioequivalent or nonbioequivalent and reduced the risk of an inconclusive trial. For a hypothetical drug with between-subject variability of 35% for CL and 10% for V, when the true test-reference ratio of bioavailability was 1.15, a crossover study of n = 14 subjects analysed by the proposed method would have 80% or 20% probability of claiming bioequivalent or nonbioequivalent, compared to 22%, 46% or 32% probability of claiming bioequivalent, nonbioequivalent or inconclusive using the standard AUC ratio test. The terminal-phase adjusted AUC ratio test represents a simple and readily applicable approach to enhance the BE assessment of drug products when CL varies more than V.

Identifiants

pubmed: 34272747
doi: 10.1111/bcp.14986
doi:

Substances chimiques

Tablets 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

619-627

Informations de copyright

© 2021 British Pharmacological Society.

Références

Rowland M, Tozer TN. Clinical pharmacokinetics: concepts and applications. 3rd ed. Williams & Wilkins; 1995.
Karalis V, Macheras P, Van Peer A, et al. Bioavailability and bioequivalence: Focus on physiological factors and variability. Pharm Res. 2008;25(8):1956-1962.
Glen I. Pharmacokinetic variation. Anaesth Intensive Care Med. 2005;6(8):282-285.
Nicolas J-M, Espie P, Molimard M. Gender and interindividual variability in pharmacokinetics. Drug Metab Rev. 2009;41(3):408-421.
Cristofoletti R, Rowland M, Lesko LJ, Blume H, Rostami-Hodjegan A, Dressman JB. Past, present, and future of bioequivalence: improving assessment and extrapolation of therapeutic equivalence for oral drug products. J Pharm Sci. 2018;107(10):2519-2530.
Davit BM, Conner DP, Fabian-Fritsch B, et al. Highly variable drugs: Observations from bioequivalence data submitted to the FDA for new generic drug applications. AAPS j. 2008;10(1):148-156.
Wagner JG. Method of estimating relative absorption of a drug in a series of clinical studies in which blood levels are measured after single and/or multiple doses. J Pharm Sci. 1967;56(5):652-653.
Abdallah HY. An area correction method to reduce intrasubject variability in bioequivalence studies. J Pharm Pharm Sci. 1998;1(2):60-65.
Yang J, Ma P, Bullman J, Nicholls A, Chen C. Adjustment of the area under the concentration curve by terminal rate constant for bioequivalence assessment in a parallel-group study of lamotrigine. Br J Clin Pharmacol. 2019;85(3):563-569.
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. 2017.
Patterson SD, Zariffa NM-D, Montague TH, Howland K. Non-traditional study designs to demonstrate average bioequivalence for highly variable drug products. Eur J Clin Pharmacol. 2001;57(9):663-670.
Chow S-C, Liu J-P. On assessment of bioequivalence under a higher-order crossover design. J Biopharm Stat. 1992;2(2):239-256.
Ring A, Lang B, Kazaroho C, Labes D, Schall R, Schütz H. Sample size determination in bioequivalence studies using statistical assurance. Br J Clin Pharmacol. 2019;85(10):2369-2377.

Auteurs

Adam J Lucas (AJ)

Drug Metabolism and Pharmacokinetics, Evotec Ltd, Abingdon, Oxfordshire, UK.

Kayode Ogungbenro (K)

Division of Pharmacy and Optometry, University of Manchester, Manchester, UK.

Shuying Yang (S)

Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline, Brentford, Middlesex, UK.

Leon Aarons (L)

Division of Pharmacy and Optometry, University of Manchester, Manchester, UK.

Chao Chen (C)

Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline, Brentford, Middlesex, UK.

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