Implementing Algorithm-Guided Warfarin Dosing in an Ethnically Diverse Patient Population Using Electronic Health Records and Preemptive CYP2C9 and VKORC1 Genetic Testing

A. Owusu Obeng, T. Kaszemacher, N. S. Abul-Husn, O. Gottesman, A. Vega, E. Waite, K. Myers, J. Cho, E. P. Bottinger, S. B. Ellis, S. A. Scott

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Implementation of pharmacogenetic-guided warfarin dosing has been hindered by inconsistent results from reported clinical trials and a lack of available algorithms that include alleles prevalent in non-white populations. However, current evidence indicates that algorithm-guided dosing is more accurate than empirical dosing. To facilitate multiethnic algorithm-guided warfarin dosing using preemptive genetic testing, we developed a strategy that accounts for the complexity of race and leverages electronic health records for algorithm variables and deploying point-of-care dose recommendations.

Original languageEnglish
Pages (from-to)427-430
Number of pages4
JournalClinical Pharmacology and Therapeutics
DOIs
StatePublished - 1 Nov 2016

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