Abstract
An empirical equation was recently proposed and used to characterize inhibitory drug effects on production of an endogenous substance. The limitations of this empirical equation are described utilizing mathematical equations and simulations based on the exact differential equation for Indirect Response Model I. The latter is preferable for fitting data using indirect response models.
Similar content being viewed by others
REFERENCES
E. A. Schaick, H. J. M. M. de Greef, A. P. Ijzerman, and M. Danhof. Physiological indirect effect modeling of the antilipolytic effects of adenosine A1-receptor agonist. J. Pharmacokin. Biopharm. 25:673–694 (1997).
N. L. Dayneka, V. Garg, and W. J. Jusko. Comparison of four basic models of indirect pharmacodynamic responses. J. Pharmacokin. Biopharm. 21:457–478 (1993).
W. Krzyzanski and W. J. Jusko. Mathematical formalism for the properties of four basic models of indirect pharmacodynamic responses. J. Pharmacokin. Biopharm. 25:107–123 (1997).
D. Z. D'Argenio and A. Schumitzky. A program package for simulation and parameter estimation in pharmacokinetics. Comput. Meth. Prog. Biomed. 9:115–134 (1979).
A. N. Kong, E. A. Ludwig, R. L. Slaughter, P. N. DiStefano, E. Middleton, and W. J. Jusko. Pharmacokinetics and pharmacodynamic modeling of direct suppression effects of methylprednisolone on serum cortisol and blood histamine in human subjects. Clin. Pharmacol. Ther. 46:616–628 (1989).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Krzyzanski, W., Jusko, W.J. Note: Caution in Use of Empirical Equations for Pharmacodynamic Indirect Response Models. J Pharmacokinet Pharmacodyn 26, 735–741 (1998). https://doi.org/10.1023/A:1020707208521
Published:
Issue Date:
DOI: https://doi.org/10.1023/A:1020707208521