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Between Subject Variability on Kin & Kout for Indirect Response Model

pharamcokinetics pharmacodynamics modeling and simulation pk/pd nlme

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#1 csheme

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Posted 10 May 2017 - 04:28 PM

Hello All,

 

I have a question regarding my 2cmpt indirect response model and specifically on the Between Subject Variability on the Kin and Kout rate constants. I am attaching a few figures below, but want to ask how it is possible for the BSV on the IC50 to be so high, while there is seemingly no between subject variability on the Kin and Kout, is this due to the different baselines of the population? Please see the tables below.

 

Thanks greatly!

 

P4_estimate.png

 

P1.png
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P2_omega.png
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 P3_omega_stderr.png
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Edited by csheme, 10 May 2017 - 04:30 PM.

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#2 serge guzy

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Posted 10 May 2017 - 06:47 PM

Dear colleague

I suggest you first to rmeove the random effects for kin and kout. The shrinkage is huge and anyway the estimated variances are alnmost 0. The shrinkage for IC50 is small which means that the variability in IC50 may be real.

IC50 meaning is the drug level that leads to half emax. Then I am not sure why it is a problem here.

Here your Imax is 1 which means that potentially the drug can completely inhibit the production of PD.

The shape of the PD profile (Y axis) with time and/or concentration can still be different across individuals because of the large variability in IC50 even though kin and kout has no variability. A small IC50 would mean that you do not need lot of drug to reach full saturation of the production while large IC50 would mean that you need lot of drug to reach saturation.

Best Regards

Serge



#3 csheme

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Posted 12 May 2017 - 10:54 PM

Thank you Serge,

 

Maybe I can also ask you , have you heard the Kout described as the PD half life, can you elaborate on this if possible?







Also tagged with one or more of these keywords: pharamcokinetics, pharmacodynamics, modeling and simulation, pk/pd, nlme

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