Annesti F. Elmasri, Hee-soo Hur, Jin Han, James C. Lee
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引用次数: 0
Abstract
ABSTRACT Background Warfarin dosing varies due to individual genetic and clinical factors. The utility of genotype‐guided warfarin dosing to improve stable warfarin dose is not extensively studied in non-European populations. Research design and methods Retrospective cohort study of patients initiating warfarin receiving genotype (PGx)‐guided or clinically guided dosing. Primary outcomes included dose discordance between estimated dose at discharge and eventual stable dose. Results No significant difference in warfarin dose discordance was observed (PGx: 9.1 ± 8.8 mg/week difference vs. Clinical: 7.9 ± 8.9 mg/week difference; P = 0.446). PGx‐guided dosing did not reduce time to achieve stable dose (1.8 ± 2.5 months vs. 2.1 ± 2.6 months; P = 0.508). Vitamin K intake level did not alter prediction accuracy or time to stable dose (PGx‐predicted: dose difference P = 0.493, time to stable dose P = 0.336; Clinically predicted: dose difference P = 0.145, time to dose INR P = 0.095). Conclusions PGx‐guided warfarin dosing did not improve eventual stable dose discordance or reduce the time to achieve stable dose in this predominantly non‐European cohort. Dietary vitamin K intake level did not impact warfarin dose discordance or time to achieve stable warfarin dose. Additional study is needed to identify populations that best benefit from PGx‐guided warfarin dosing.
期刊介绍:
Expert Review of Precision Medicine and Drug Development publishes primarily review articles covering the development and clinical application of medicine to be used in a personalized therapy setting; in addition, the journal also publishes original research and commentary-style articles. In an era where medicine is recognizing that a one-size-fits-all approach is not always appropriate, it has become necessary to identify patients responsive to treatments and treat patient populations using a tailored approach. Areas covered include: Development and application of drugs targeted to specific genotypes and populations, as well as advanced diagnostic technologies and significant biomarkers that aid in this. Clinical trials and case studies within personalized therapy and drug development. Screening, prediction and prevention of disease, prediction of adverse events, treatment monitoring, effects of metabolomics and microbiomics on treatment. Secondary population research, genome-wide association studies, disease–gene association studies, personal genome technologies. Ethical and cost–benefit issues, the impact to healthcare and business infrastructure, and regulatory issues.