MUSELÍK, Jan, A. KOMERSOVA, Kateřina KUBOVÁ, K. MATZICK and B. SKALICKA. A Critical Overview of FDA and EMA Statistical Methods to Compare In Vitro Drug Dissolution Profiles of Pharmaceutical Products. Pharmaceutics. BASEL: MDPI, 2021, vol. 13, No 10, p. 1-12. ISSN 1999-4923. Available from: https://dx.doi.org/10.3390/pharmaceutics13101703.
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Basic information
Original name A Critical Overview of FDA and EMA Statistical Methods to Compare In Vitro Drug Dissolution Profiles of Pharmaceutical Products
Authors MUSELÍK, Jan (203 Czech Republic, belonging to the institution), A. KOMERSOVA (guarantor), Kateřina KUBOVÁ (203 Czech Republic, belonging to the institution), K. MATZICK and B. SKALICKA.
Edition Pharmaceutics, BASEL, MDPI, 2021, 1999-4923.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30104 Pharmacology and pharmacy
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 6.525
RIV identification code RIV/00216224:14160/21:00119760
Organization unit Faculty of Pharmacy
Doi http://dx.doi.org/10.3390/pharmaceutics13101703
UT WoS 000714524900001
Keywords in English drug dissolution; dissolution profile comparison; EMA and FDA strategy
Tags rivok, ÚFT
Tags International impact, Reviewed
Changed by Changed by: JUDr. Sabina Krejčiříková, učo 383857. Changed: 14/4/2022 15:25.
Abstract
A drug dissolution profile is one of the most critical dosage form characteristics with immediate and controlled drug release. Comparing the dissolution profiles of different pharmaceutical products plays a key role before starting the bioequivalence or stability studies. General recommendations for dissolution profile comparison are mentioned by the EMA and FDA guidelines. However, neither the EMA nor the FDA provides unambiguous instructions for comparing the dissolution curves, except for calculating the similarity factor f(2). In agreement with the EMA and FDA strategy for comparing the dissolution profiles, this manuscript provides an overview of suitable statistical methods (CI derivation for f(2) based on bootstrap, CI derivation for the difference between reference and test samples, Mahalanobis distance, model-dependent approach and maximum deviation method), their procedures and limitations. However, usage of statistical approaches for the above-described methods can be met with difficulties, especially when combined with the requirement of practice for robust and straightforward techniques for data evaluation. Therefore, the bootstrap to derive the CI for f(2) or CI derivation for the difference between reference and test samples was selected as the method of choice.

Links
MUNI/A/1574/2020, interní kód MUName: Pokročilé technologie pro přípravu a hodnocení částicových systémů
Investor: Masaryk University
QK1810221, research and development projectName: Využití mikročástic jako nosičů hormonálně aktivních látek v řízené reprodukci ryb.
Investor: Ministry of Agriculture of the CR
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