Back to the Top
I am trying to model decrease in glucose concentration after insulin
dosing using a classic indirect response model (stimulation of Kout).
The problem is that dogs were fed ~ 30min after the insulin dosing
hence I see a temporary increase in the glucose concentration. I am
not sure how to model this peak since the indirect response model
(with Kout stimulation) does not allow for this peak. Unfortunately, I
don't have the baseline data from control animals otherwise I would
have been able to model that temporary peak in the baseline data. Any
idea on how to modify the indirect response model in order to take
into account the temporary increase in the glucose conc due to food?
The glucose increase due to feeding essentially means that there is an
increase in Kin but I am not sure what kind of function should be used
to model that increase in Kin. Could it be a step function of a
certain height and duration? In yes, how to model that in NONMEM? I
will appreciate your input on this.
- Pratap Singh, Ph.D.
Want to post a follow-up message on this topic?
If this link does not work with your browser send a follow-up message to PharmPK@boomer.org with "Modeling Baseline Fluctuation in Indirect Reponse Models" as the subject
Support PharmPK by using the
Copyright 1995-2011 David W. A. Bourne (firstname.lastname@example.org)