Comparison of the reference scaled bioequivalence semi-replicate method with other approaches: Focus on human exposure to drugs

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Comparison of the reference scaled bioequivalence semi-replicate method with other approaches: Focus on human exposure to drugs

Karalis, V. Symillides, M. Macheras, P.

scientific_publication_article
Επιστημονική δημοσίευση - Άρθρο Περιοδικού (EL)
Scientific publication - Journal Article (EN)

2009


To compare the performance of the reference scaled average bioequivalence (scABER) method proposed by FDA scientists [Haidar et al., 2008. Pharm. Res. 25, 237-241] with other approaches focusing on the human exposure expressed as the product sample size × periods of drug administration. Simulated bioequivalence studies were generated assuming the partial replicate 3-way crossover design and the classic (2 × 2) crossover design. Intrasubject variability (CVW) values ranged from 15% to 60% and sample sizes from 16 to 54. The procedures examined include: the scABER method, the classic 0.80-1.25 approach, a levelling-off scaled BE limit (BELscW), and some other scaled bioequivalence limits. To assess the performance of the aforementioned approaches, the typical as well as novel three-dimensional modified power curves were constructed. A new index, termed %Mean Relative Difference (MRD%), was introduced in order to quantitatively compare the performance of the bioequivalence limits. The recently proposed scABER approach showed the lowest producer risk in particular for highly variable drugs. When exposure was taken into account scABER resulted in a desired behaviour when CVW was low. For high CVW values the overall performance diminished when geometric mean ratio (GMR) substantially deviated from unity. Application of the MRD% index clearly revealed that the effect of lowering the producer risk at GMR = 1 was totally counterbalanced by the rise of consumer risk at high GMR values. The classic 0.80-1.25 limits were favoured at low intrasubject variability and high exposure, whereas the levelling-off limits demonstrated a preferred overall performance when variability was high and exposure was limited. © 2009 Elsevier B.V. All rights reserved. (EN)

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