Difference between actual and published PK parameters [Study As­sess­ment]

posted by Helmut Homepage – Vienna, Austria, 2022-02-15 16:56 (789 d 19:49 ago) – Posting: # 22786
Views: 2,199

Hi Loky do,

❝ […] I have a question regarding dapoxetine biphasic half-life; the initial and terminal half-life (the initial half-life which is 1.3-1.5 hours and the terminal half-life which is 15-19 hours) does this biphasic nature affect the practical obtained half life of the drug?


I don’t understand what you mean by ‘practical obtained half life’. Do you mean the apparent terminal half life estimated from a lin/log-regression? Let’s explore the fasted study of Yan et al.:

[image]


Here we see a straight line starting at 12 hours. Therefore, we can reliably estimate \(\small{\lambda_\textrm{z}}\).

Since you wrote in your original post

❝ ❝ ❝ the drug was detected […] for only 24 hours in most of the volunteers.

it might well be that distribution was not complete ≤ 12 hours and hence, the estimated elimination contaminated. When I make a rough estimation from the concentrations in the figure between 8 and 24 hours, I get a half life of ~9.6 hours. Not exactly yours, but close.

Possibly you see such patterns (+ – +) in the fits:

[image]


Of course, what ElMaestro wrote might be another explanation.

However, in BE we are interested in detecting potential differences in the absorption of formulations. Once absorption is complete,* anything else is a property of the drug and should not be a regulatory concern.

❝ and is this nature could affect the drug variability?


In BE we make the – rather strong – assumption that clearance is constant (background). If this is not the case (likely…), it will negatively affect the residual variability.
In a two-compartment system, we have three clearances: The total body clearance (associated with elimination) and two inter-compartment clearances (associated with distribution). If you are in church of volumes of distribution / rate-constants:$$\begin{matrix}
\overset{k_\textrm{a}}{\longrightarrow} & \boxed{V_1} & \overset{k_{12}}{\underset{k_{21}}{\rightleftharpoons}} & \;\;\boxed{V_2}\\
& \phantom{0}\downarrow \tiny{k_\textrm{e}} & &
\end{matrix}$$ In simple terms: We can expect that in a multicompartment system the between-occasion variability to be larger than in a one-compartment system.



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