title: Pharmaco-informatics: more precise drug therapy from 'multiple model' (MM) adaptive control regimens: evaluation with simulated vancomycin therapy.
abstract: A multiple model (MM) stochastic control of dosage regimens permits essentially optimal use of the information contained in either a population pharmacokinetic model or in a MM Bayesian updated parameter set to achieve and maintain selected therapeutic goals with optimal precision. The regimens are visibly more precise than those achieved using mean parameter values. Feedback has now also been incorporated into the MM software. An evaluation of MM adaptive control precision versus control achieved using population mean parameter values is presented using a real population model (Vancomycin). Further feedback control was evaluated, incorporating simulated clinical errors in the preparation and administration of doses.
authors.affiliation: Laboratory of Applied Pharmacokinetics, University of Southern California School of Medicine, CSC 134-B, 2250 Alcazar Street, Los Angeles, California 90033 USA.
authors.forename: R W
authors.initials: RW
authors.lastname: Jelliffe
authors.forename: D
authors.initials: D
authors.lastname: Bayard
authors.forename: A
authors.initials: A
authors.lastname: Schumitzky
authors.forename: M
authors.initials: M
authors.lastname: Milman
authors.forename: M
authors.initials: M
authors.lastname: Van Guilder
mesh_terms: D001499:Bayes Theorem; D003198:Computer Simulation; D004334:Drug Administration Schedule; D004360:Drug Therapy, Computer-Assisted; D006801:Humans; D007262:Infusions, Intravenous; D008954:Models, Biological; D012985:Software Design; D014640:Vancomycin / Q000008:administration & dosage* / Q000097:blood / Q000493:pharmacokinetics
chemical_list: D014640:Vancomycin