Drug dosage individualization based on a random-effects linear lodel
Por:
Diaz, Francisco J., Cogollo, Myladis R., Spina, Edoardo, Santoro, Vincenza, Rendon, Diego M., de Leon, Jose
Publicada:
1 ene 2012
Resumen:
This article investigates drug dosage individualization when the patient population can be described with a random-effects linear model of a continuous pharmacokinetic or pharmacodynamic response. Specifically, we show through both decision-theoretic arguments and simulations that a published clinical algorithm may produce better individualized dosages than some traditional methods of therapeutic drug monitoring. Since empirical evidence suggests that the linear model may adequately describe drugs and patient populations, and linear models are easier to handle than the nonlinear models traditionally used in population pharmacokinetics, our results highlight the potential applicability of linear mixed models to dosage computations and personalized medicine. Copyright © Taylor & Francis Group, LLC.
Filiaciones:
Diaz, Francisco J.:
Univ Kansas, Med Ctr, Dept Biostat, Kansas City, KS 66160 USA
Cogollo, Myladis R.:
Univ EAFIT, Dept Basic Sci, Medellin, Colombia
Spina, Edoardo:
Univ Messina, Pharmacol Sect, Dept Clin & Expt Med & Pharmacol, Messina, Italy
Univ Messina Policlin, IRCCS Ctr Neurolesi Bonino Pulejo, Messina, Italy
Santoro, Vincenza:
Univ Messina, Pharmacol Sect, Dept Clin & Expt Med & Pharmacol, Messina, Italy
Univ Messina Policlin, IRCCS Ctr Neurolesi Bonino Pulejo, Messina, Italy
Rendon, Diego M.:
Financial Anal Unit Secretaria Hacienda, Medellin, Colombia
de Leon, Jose:
Mental Hlth Res Ctr, Lexington, KY USA
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