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Novel scaled bioequivalence limits with leveling-off properties
John Kytariolos1, Vangelis Karalis, Panos Macheras
1Laboratory of Biopharmaceutics-Pharmacokinetics, School of Pharmacy, University of Athens, Panepistimiopolis, Athens 15771, Greece.
Novel scaled bioequivalence (BE) limits were developed to improve drug product evaluation. These new limits demonstrate effectiveness across various variability levels and offer improved estimation accuracy compared to existing methods.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Pharmaceutical Sciences
- Regulatory Science
Background:
- Bioequivalence (BE) studies are crucial for generic drug approval.
- Current BE limits, such as 0.80-1.25, may not adequately address variability.
- Novel approaches are needed to refine BE limit setting.
Purpose of the Study:
- To develop novel scaled bioequivalence (BE) limits with levelling-off properties based on variability.
- To evaluate the performance of these new limits against established criteria (0.80-1.25, 0.75-1.33) and GMR-dependent limits (BELscW).
Main Methods:
- Two model functions were employed to achieve gradual changes in BE limits.
- Simulations of two-period crossover BE studies with varying subject numbers and coefficients of variation (CV) were conducted.
- Power curves and estimation accuracy were assessed using Geometric Mean Ratio (GMR) values.
Main Results:
- Four new scaled BE limits were developed, showing favorable performance for average BE evaluation.
- At low variability, two new limits matched the 0.80-1.25 criterion, while others were less permissive.
- At high CV values, new limits offered higher statistical power than 0.80-1.25, similar to 0.75-1.33, and were less permissive than BELscW.
- The new limits demonstrated more accurate estimation due to the absence of the GMR factor in their model functions.
Conclusions:
- The novel scaled BE limits are effective across all investigated variability levels.
- These limits provide satisfactory estimation accuracy for bioequivalence assessments.
- The findings support the use of variability-based scaled BE limits for improved drug evaluation.
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