RE: PD modeling of dataset with opposite values in the measurement effect
From: Scott VanWart Scott.VanWart@cognigencorp.com
Subject: RE: [NMusers] PD modeling of dataset with opposite values in the measurement effect
Date: Fri, 27 Jan 2006 18:01:56 -0500
Dear Li-Pin,
If blood pressure is the PD response you are modeling, there is already a wide body of
evidence in the literature that suggests that there is a circadian pattern to this type
of process. Therefore, you may need to model your baseline response as a function of
clock-time prior to trying to study the pharmocology of your drug. A good example of
one approach that has been done to do this has been published by Hempel et al. (1998),
Clinical Pharmacology and Therapeutics; 64: 622-635. I would also consider looking at
other factors that may confound your ability to detect a concentration-response
relationship, such as use of other non-study related medications or increases in the
production of other endogenous modulators (if measured).
A second point to consider is that there may be patients, who for any number of reasons,
simply do not respond regardless of what drug concentration they are exposed to. There
are several different approaches that you could consider here as well, one of which is
the use of a mixture model within NONMEM to identify "responders" versus "non-responders".
Scott Van Wart
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Scott Van Wart
Assistant Director, Population PK/PD
Cognigen Corporation
395 Youngs Road
Buffalo, NY 14221-5831
(716) 633-3463 ext 241