title: A Bayesian method based on clotting factor activity for the prediction of maintenance warfarin dosage regimens.
abstract: A Bayesian algorithm, employing a population pharmacokinetic-pharmacodynamic model, for the effective and rapid prediction of warfarin maintenance dosing requirements was developed. The algorithm was evaluated prospectively in five healthy volunteers who were given a 15-mg single dose of racemic warfarin. Based on previous population pharmacokinetic and pharmacodynamic parameters and factor VII response measurements taken during the first 48 hours, dosage regimens to achieve a subtherapeutic degree of anticoagulation (50% of normal) were determined. Three factor VII response measurements were sufficient to determine dosing requirements in the five volunteers. The advantage of the algorithm is that it does not require warfarin concentration measurements and uses non-steady-state data.
authors.affiliation: School of Pharmacy and Pharmaceutical Sciences, University of Manchester, United Kingdom.
authors.forename: Maria
authors.initials: M
authors.lastname: Pitsiu
authors.forename: Eva M
authors.initials: EM
authors.lastname: Parker
authors.forename: Leon
authors.initials: L
authors.lastname: Aarons
authors.forename: Malcolm
authors.initials: M
authors.lastname: Rowland
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D001779:Blood Coagulation Factors / Q000378:metabolism*; D004334:Drug Administration Schedule; D005544:Forecasting; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D011446:Prospective Studies; D014859:Warfarin / Q000008:administration & dosage* / Q000097:blood*
chemical_list: D001779:Blood Coagulation Factors; D014859:Warfarin