IVPT Data Analysis with FDA Statistical Approach to Assess Bioequivalence

Publication
Article
Pharmaceutical TechnologyPharmaceutical Technology, June 2022
Volume 46
Issue 6
Pages: 36–42

This article describes the in-vitro permeation test study data processing procedures and FDA statistical mathematics of evaluating a generic topical drug product, acyclovir cream, against its reference product.

Robert Kneschke/Stock.adobe.com - an evaluation of the  in-vitro permeation test study data processing procedures and FDA statistical mathematics for determing the bioequivalence of the generic topical drug product, acyclovir cream, against its reference product.

Robert Kneschke/Stock.adobe.com

This article describes the data processing procedures used by the authors from in-vitro permeation test (IVPT) studies. The article also discusses FDA statistical mathematics of evaluating a generic topical drug product, specifically acyclovir cream, against its reference product. The authors demonstrate the use of IVPT-Stat, a statistical tool based on Microsoft (MS) Excel, which has been developed to perform FDA statistic bioequivalence (BE) analysis on data that contains cutaneous pharmacokinetic parameters (maximum flux, Jmax, and total cumulative amount permeated, denoted as AMT) of the test (T) and reference (R) topical drugs. The authors use examples to illustrate the algorithms and functionalities of the IVPT-Stat tool.

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Peer-review research

Submitted: May 2, 2022
Accepted: May 9, 2022

About the authors

Lei Lei*, PhD, ryan.lei@cutiatx.com, is the vice-president R&D of Cutia Therapeutics, Shanghai, China, and Ashvin Patel, PhD, is the director of Analytical Research & Business Development, Teledyne Hanson Research, New York, USA.

*To whom all correspondence should be addressed.

Article details

Pharmaceutical Technology
Vol. 46, No. 6
June 2022
Pages: 36–42

Citation

When referring to this article, please cite it as L. Lei and A. Patel, “IVPT Data Analysis with FDA Statistical Approach to Assess Bioequivalence,” Pharmaceutical Technology 46 (6) 36–42 (2022).

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