Representation of BQL values in concentration data [Bioanalytics]

posted by GM – India, 2019-02-21 09:06 (1862 d 14:00 ago) – Posting: # 19954
Views: 3,704

Hello ElMaestro,

Thank you so much for the quick reply.

»This means, whether we have to replace BQL values with "zero" or can we keep as it is in the BE analysis without replacing those values with zero?


❝ Those values are not measured as zero, they are BLLOQ or BQL or BLQ or whatever code you assign to them. However, it is a commonly accepted principle that when you do NCA on the series, you consider BLQ to be zero for the purpose of derivation of AUC. This works without problems generally, with a few exceptions; for example, there is no universal agreement on how to handle a BLQ between quantifiable concentrations after tmax when you do "linear up, log down". But I assure you there are very strong personal opinions :-D


Yes. I agree with you. For calculation of AUC, we should consider numeric value other wise calculation will not happen with character values.

So, if we consider measured(BQL) values as it is for the calculation of AUC, are there any comments come from regulatory?

❝ Your processes around sampling and reporting PK-data and doing NCA should be in an SOP, in my opinion.


We don't have any SOP and protocol also states that, follow Bioanalytical guidance.

❝ ❝ We have a situation that, one of our study is passing the BE with BQL values (without replacing those values with zero), but failed to attain the BE without BQL values(with replacing those values with zero).

❝ Sounds like you are in a good position. But check what the software actually does with BLQs - at the end of the day this is what determines if the proof of BE is rigorous and scientific.


If we keep measured values(BQL as it is) in input data, software will consider those values for the derivation. B'coz we are not providing any cutoff value for BLQ in the input data.

Best Regards,
GM

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