Genetic Warfarin Dosing
作者： Brian S. Finkelman , Brian F. Gage , Julie A. Johnson , Colleen M. Brensinger , Stephen E. Kimmel
DOI: 10.1016/J.JACC.2010.08.643
关键词: Prospective cohort study 、 Dose prediction 、 Warfarin 、 Dosing 、 Cohort study 、 Algorithm 、 Retrospective cohort study 、 Pharmacogenetics 、 Medicine 、 Warfarin dose 、 Cardiology and Cardiovascular Medicine
摘要: Objectives The aim of this study was to compare the accuracy genetic tables and formal pharmacogenetic algorithms for warfarin dosing. Background Pharmacogenetic based on regression equations can predict dose, but they require detailed mathematical calculations. A simpler alternative, recently added label by U.S. Food Drug Administration, is use genotype-stratified estimate dose. This table may potentially increase dosing in clinical practice; however, its has not been quantified. Methods retrospective cohort 1,378 patients from 3 anticoagulation centers conducted. Inclusion criteria were stable therapeutic dose complete data. Five prediction methods compared: 2 using only information (empiric 5 mg/day a algorithm), (the new mean stratified genotype), 1 algorithm, both information. For each method, proportion whose predicted doses within 20% their actual determined. Dosing compared McNemar9s chi-square test. Results Warfarin significantly more accurate (all p Conclusions Although better than empiric dosing, most accurate.
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