TTT method [NCA / SHAM]

posted by Helmut Homepage – Vienna, Austria, 2008-05-10 15:56 (5828 d 09:43 ago) – Posting: # 1844
Views: 26,863

Dear Detlew,

just discovered a recent paper:

Scheerans C, Derendorf H, Kloft C. Proposal for a Standardised Identification of the Mono-Exponential Terminal Phase for Orally Administered Drugs. Biopharm Drug Dispos. 2008; 29(3): 145–57. doi:10.1002/bdd.596


Authors recommend the so-called TTT (two times tmax) method for identifying the mono-exponential terminal phase in the case of oral drug administration. Rules for selecting sample points in the estimation of lambdaz are quite simple:
First point: 2× tmax – or, if no sampling point is available, the subsequent one in the profile
Last point: last measured (C ≥LLOQ)

A large Monte-Carlo-Study was performed to compare the TTT-method to the maximum adjusted R² algorithm (ARS). TTT was found to be superior to ARS, both in terms of bias and precision.

The method is not intended as an automated procedure – and for any ≥1 compartment model, which shows up as a multilinear decline in a lin/log-plot.
Quote:

“It should be emphasised that the TTT method has been introduced in this paper to provide a reasonable tool to support visual curve inspection for reliably identifying the mono-exponential terminal phase. Moreover, the TTT method should not be utilised without visual inspection of the respective concentration-time course. Thus, before using this new approach the monophasic shape post the peak of the curve has to be checked visually by means of a semilogarithmic diagram.”


P.S.: For my example data set five points would be chosen again.

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