Pharmaco-informatics: more precise drug therapy from "multiple model" (MM) stochastic adaptive control regimens: evaluation with simulated vancomycin therapy

R W Jelliffe; D Bayard; A Schumitzky; M Milman; M Van Guilder

Pharmaco-informatics: more precise drug therapy from "multiple model" (MM) stochastic adaptive control regimens: evaluation with simulated vancomycin therapy

Proc Annu Symp Comput Appl Med Care. 1994:972.

Authors

R W Jelliffe¹, D Bayard, A Schumitzky, M Milman, M Van Guilder

Affiliation

¹ Laboratory of Applied Pharmacokinetics, University of Southern California School of Medicine, Los Angeles 90033.

PMID: 7950076
PMCID: PMC2247806

Abstract

MM stochastic control of dosage regimens permits essentially full use of information, either in a population pharmacokinetic model or a Bayesian updated MM parameter set, to achieve and maintain selected therapeutic goals with optimal precision. The regimens are visibly more precise than those developed using mean parameter values. Bayesian MM feedback has now also been implemented.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.

MeSH terms

Bayes Theorem
Humans
Models, Biological
Stochastic Processes
Vancomycin / administration & dosage
Vancomycin / pharmacokinetics*

Substances

Vancomycin

Grants and funding

LM 05401/LM/NLM NIH HHS/United States