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Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method
Pilot bioavailability/bioequivalence (BA/BE) studies are downsized trials that can be conducted prior to the definitive pivotal trial. In these trials, 12 to 18 subjects are usually enrolled, although, in principle, a sample size is not formally calculated. In a previous work, authors recommended th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610255/ https://www.ncbi.nlm.nih.gov/pubmed/37896259 http://dx.doi.org/10.3390/pharmaceutics15102498 |
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author | Henriques, Sara Carolina Paixão, Paulo Almeida, Luis Silva, Nuno Elvas |
author_facet | Henriques, Sara Carolina Paixão, Paulo Almeida, Luis Silva, Nuno Elvas |
author_sort | Henriques, Sara Carolina |
collection | PubMed |
description | Pilot bioavailability/bioequivalence (BA/BE) studies are downsized trials that can be conducted prior to the definitive pivotal trial. In these trials, 12 to 18 subjects are usually enrolled, although, in principle, a sample size is not formally calculated. In a previous work, authors recommended the use of an alternative approach to the average bioequivalence methodology to evaluate pilot studies’ data, using the geometric mean (G(mean)) ƒ(2) factor with a cut off of 35, which has shown to be an appropriate method to assess the potential bioequivalence for the maximum observed concentration (C(max)) metric under the assumptions of a true Test-to-Reference Geometric Mean Ratio (GMR) of 100% and an inter-occasion variability (IOV) in the range of 10% to 45%. In this work, the authors evaluated the proposed ƒ(2) factor in comparison with the standard average bioequivalence in more extreme scenarios, using a true GMR of 90% or 111% for truly bioequivalent formulations, and 80% or 125% for truly bioinequivalent formulations, in order to better derive conclusions on the potential of this analysis method. Several scenarios of pilot BA/BE crossover studies were simulated through population pharmacokinetic modelling, accounting for different IOV levels. A redefined decision tree is proposed, suggesting a fixed sample size of 20 subjects for pilot studies in the case of intra-subject coefficient of variation (ISCV%) > 20% or unknown variability, and suggesting the assessment of study results through the average bioequivalence analysis, and additionally through G(mean) ƒ(2) factor method in the case of the 90% confidence interval (CI) for GMR is outside the regulatory acceptance bioequivalence interval of [80.00–125.00]%. Using this alternative approach, the certainty levels to proceed with pivotal studies, depending on G(mean) ƒ(2) values and variability scenarios tested (20–60% IOV), were assessed, which is expected to be helpful in terms of the decision to proceed with pivotal bioequivalence studies. |
format | Online Article Text |
id | pubmed-10610255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106102552023-10-28 Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method Henriques, Sara Carolina Paixão, Paulo Almeida, Luis Silva, Nuno Elvas Pharmaceutics Article Pilot bioavailability/bioequivalence (BA/BE) studies are downsized trials that can be conducted prior to the definitive pivotal trial. In these trials, 12 to 18 subjects are usually enrolled, although, in principle, a sample size is not formally calculated. In a previous work, authors recommended the use of an alternative approach to the average bioequivalence methodology to evaluate pilot studies’ data, using the geometric mean (G(mean)) ƒ(2) factor with a cut off of 35, which has shown to be an appropriate method to assess the potential bioequivalence for the maximum observed concentration (C(max)) metric under the assumptions of a true Test-to-Reference Geometric Mean Ratio (GMR) of 100% and an inter-occasion variability (IOV) in the range of 10% to 45%. In this work, the authors evaluated the proposed ƒ(2) factor in comparison with the standard average bioequivalence in more extreme scenarios, using a true GMR of 90% or 111% for truly bioequivalent formulations, and 80% or 125% for truly bioinequivalent formulations, in order to better derive conclusions on the potential of this analysis method. Several scenarios of pilot BA/BE crossover studies were simulated through population pharmacokinetic modelling, accounting for different IOV levels. A redefined decision tree is proposed, suggesting a fixed sample size of 20 subjects for pilot studies in the case of intra-subject coefficient of variation (ISCV%) > 20% or unknown variability, and suggesting the assessment of study results through the average bioequivalence analysis, and additionally through G(mean) ƒ(2) factor method in the case of the 90% confidence interval (CI) for GMR is outside the regulatory acceptance bioequivalence interval of [80.00–125.00]%. Using this alternative approach, the certainty levels to proceed with pivotal studies, depending on G(mean) ƒ(2) values and variability scenarios tested (20–60% IOV), were assessed, which is expected to be helpful in terms of the decision to proceed with pivotal bioequivalence studies. MDPI 2023-10-20 /pmc/articles/PMC10610255/ /pubmed/37896259 http://dx.doi.org/10.3390/pharmaceutics15102498 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Henriques, Sara Carolina Paixão, Paulo Almeida, Luis Silva, Nuno Elvas Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method |
title | Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method |
title_full | Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method |
title_fullStr | Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method |
title_full_unstemmed | Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method |
title_short | Predictive Potential of C(max) Bioequivalence in Pilot Bioavailability/Bioequivalence Studies, through the Alternative ƒ(2) Similarity Factor Method |
title_sort | predictive potential of c(max) bioequivalence in pilot bioavailability/bioequivalence studies, through the alternative ƒ(2) similarity factor method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610255/ https://www.ncbi.nlm.nih.gov/pubmed/37896259 http://dx.doi.org/10.3390/pharmaceutics15102498 |
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