AUCextrap more than 20% [Study As­sess­ment]

posted by sam – India, 2013-08-01 14:55 (4710 d 09:53 ago) – Posting: # 11146
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Hi Helmut,

Thanks for your valuable suggestions:

You are right about FDA’s thinking about ‘outliers’. BTW, did these two subjects really qualify by a statistical test or was your criterion >20% res. AUC?


In my study there were five subjects whose data for the test products are not in concurrence to the other subjects data. After thorough review we applied test of outlier and among the five subjects two qualifies as outliers. Among the two outliers one subject has AUCextrap value more than 20% and other subject’s whose extrapolation value is more than 20% is among the five whose data are aberrant compared to the other subjects data.

You can try to start an argument based on the fact that the formulation was ER. In BE we are interested in comparing the absorption (= formulation + drug specific) not distribution/elimination (= drug specific). With ER the slowest phase might be absorption – not elimination. This is true once you crossed flip-flop PK (ka = kel). Even for ka > kel the apparent (!) elimination will be contaminated by absorption. Compare half lives of your study with literature data of immediate release formulations. Likely your half lives are longer. Therefore, AUC is a more relevant metric for extent of absorption than AUCt.


Should I remove the AUCt parameter only for that subjects which have AUCextrap value more than 20% and write a comment on the report as per our suggestions.

Your sample size was terribly high given the CVs of 25–27%.


Since the ratio in the pilot study was around 84% and considering the ISCV of around 26%. The actual sample size come to be around 138.


Best Regards
Sam


Edit: Standard quotes restored. [Helmut]

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