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A Simple Approach for Comparing the In Vitro Dissolution Profiles of Highly Variable Drug Products: a Proposal
Marilyn N Martinez1, Xiongce Zhao2
1US Food and Drug Administration Center for Veterinary Medicine, Office of New Animal Drug Evaluation, Rockville, Maryland, 20855, USA. marilyn.martinez@fda.hhs.gov.
The AAPS Journal
|June 27, 2018
Summary
A new method addresses challenges in comparing drug dissolution profiles when variability is high. This approach integrates statistical confidence and avoids common biases, offering a reliable alternative to the F2 metric for pharmaceutical product comparability.
Area of Science:
- Pharmaceutical Sciences
- Drug Product Quality
- Analytical Chemistry
Background:
- The F2 metric is standard for assessing in vitro dissolution profile similarity but has limitations with high variability.
- Existing alternatives like Multivariate Statistical Distance and bootstrap F2 may introduce bias.
- Veterinary medicines, especially those with natural ingredients, often exhibit significant interlot variability, complicating profile comparisons.
Purpose of the Study:
- To develop and present a novel, model-independent method for comparing in vitro dissolution profiles.
- To address limitations of the F2 metric, particularly in cases of high interlot and intralot variability.
- To provide a statistically robust alternative for assessing pharmaceutical product comparability.
Main Methods:
- Developed an integrated method combining F2 concepts, USP S1/S2 criteria, and statistical tolerance limits.
- The approach incorporates statistical confidence using tolerance limits around the reference product profile.
- Designed to handle both interlot and intralot variability without requiring variance homogeneity confirmation.
Main Results:
- The proposed method integrates statistical confidence, unlike the standard F2 metric.
- It accommodates differences in product variability and mean profiles without direct statistical comparison of test vs. reference data.
- Performance characterization demonstrates the method's behavior across various scenarios, including high variability situations.
Conclusions:
- The developed method offers a statistically sound and reliable alternative for in vitro dissolution profile comparison, especially when F2 is unsuitable.
- It effectively integrates variability and provides a model-independent assessment, reducing potential errors.
- This approach enhances the evaluation of pharmaceutical product comparability, particularly for complex formulations.
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