4.6 Article

A randomized controlled trial of genotype-based Coumadin initiation

期刊

GENETICS IN MEDICINE
卷 13, 期 6, 页码 509-518

出版社

NATURE PUBLISHING GROUP
DOI: 10.1097/GIM.0b013e31820ad77d

关键词

anticoagulation; bleeding; CYP2C9; CYP4F2; INR; VKORC1; warfarin dosing

资金

  1. Agency for HealthCare Research and Quality (AHRQ) [1RO1HS016335-01]
  2. Third Wave Technologies
  3. Osmetech Molecular Diagnostics

向作者/读者索取更多资源

Purpose: A randomized controlled trial was conducted in patients initiating warfarin to determine whether algorithms that incorporate genotypes affecting warfarin metabolism and function, and Vitamin K metabolism improve prediction of therapeutic warfarin dose and anticoagulation management. Methods: A total of 230 patients were randomized to either a clinical arm where dosing algorithms considered only clinical information or an interventional arm where dosing algorithms used clinical and genotypic variables (CYP2C9, CYP4F2, and VKORC1). Subjects in the interventional arm were genotyped within 5 hours, and the initial dose was informed by genotype. Primary endpoints were absolute prediction error relative to therapeutic dose, and time in therapeutic target range during the first 14 days. Secondary endpoints included time to stable dose in therapeutic range, time to first international normalization ratio >4, and warfarin-related adverse events. Results: The model including genetics more accurately identified therapeutic dose twice as often as the clinical model (65.3% vs. 34.7%) (P < 0.0001). Patients in the interventional arm did not achieve greater time in therapeutic range. Study arms were similar regarding time to international normalization ratio >4 and adverse events. Conclusion: Genotype-informed dosing clearly improved prediction of therapeutic dose beyond that available with clinical parameters. Genetic information did not affect time in therapeutic target range during the first 14 days of therapy. Current management practices with the vagaries in dose adjustment after warfarin initiation exert a strong influence on traditional clinical outcomes. Genet Med 2011: 13(6): 509-518.

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