Literature DB >> 21423021

A randomized controlled trial of genotype-based Coumadin initiation.

James K Burmester1, Richard L Berg, Steven H Yale, Carla M Rottscheit, Ingrid E Glurich, John R Schmelzer, Michael D Caldwell.   

Abstract

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.

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Year:  2011        PMID: 21423021     DOI: 10.1097/GIM.0b013e31820ad77d

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  41 in total

Review 1.  Pharmacogenetics of warfarin: challenges and opportunities.

Authors:  Ming Ta Michael Lee; Teri E Klein
Journal:  J Hum Genet       Date:  2013-05-09       Impact factor: 3.172

2.  Does CALU SNP rs1043550 contribute variability to therapeutic warfarin dosing requirements?

Authors:  Ingrid Glurich; Richard L Berg; James K Burmester
Journal:  Clin Med Res       Date:  2013-05-08

Review 3.  The future of warfarin pharmacogenetics in under-represented minority groups.

Authors:  Larisa H Cavallari; Minoli A Perera
Journal:  Future Cardiol       Date:  2012-07

4.  Limited clinical utility of genotype-guided warfarin initiation dosing algorithms versus standard therapy: a meta-analysis and trial sequential analysis of 11 randomized controlled trials.

Authors:  H L Tang; W L Shi; X G Li; T Zhang; S D Zhai; H G Xie
Journal:  Pharmacogenomics J       Date:  2015-04-14       Impact factor: 3.550

Review 5.  Pharmacogenetics of warfarin dosing in patients of African and European ancestry.

Authors:  Aditi Shendre; Chrisly Dillon; Nita A Limdi
Journal:  Pharmacogenomics       Date:  2018-10-22       Impact factor: 2.533

6.  Meta-analysis of Randomized Controlled Trials of Genotype-Guided vs Standard Dosing of Warfarin.

Authors:  Khagendra Dahal; Sharan P Sharma; Erik Fung; Juyong Lee; Jason H Moore; John N Unterborn; Scott M Williams
Journal:  Chest       Date:  2015-09       Impact factor: 9.410

7.  Are Evidence Standards Different for Genomic- vs. Clinical-Based Precision Medicine? A Quantitative Analysis of Individualized Warfarin Therapy.

Authors:  D S Dhanda; G F Guzauskas; J J Carlson; A Basu; D L Veenstra
Journal:  Clin Pharmacol Ther       Date:  2017-07-10       Impact factor: 6.875

8.  Influence of the VKORC1 3730 G > A polymorphism on warfarin dose.

Authors:  Jane Skov; Else-Marie Bladbjerg; Jørgen Jespersen
Journal:  Eur J Clin Pharmacol       Date:  2012-10-23       Impact factor: 2.953

9.  Quality of anticoagulation control and hemorrhage risk among African American and European American warfarin users.

Authors:  Nita A Limdi; Todd M Brown; Aditi Shendre; Nianjun Liu; Charles E Hill; Timothy M Beasley
Journal:  Pharmacogenet Genomics       Date:  2017-10       Impact factor: 2.089

10.  Rationale and design of the Clarification of Optimal Anticoagulation through Genetics trial.

Authors:  Stephen E Kimmel; Benjamin French; Jeffrey L Anderson; Brian F Gage; Julie A Johnson; Yves D Rosenberg; Nancy L Geller; Scott E Kasner; Charles S Eby; Jungnam Joo; Michael D Caldwell; Samuel Z Goldhaber; Robert G Hart; Denise Cifelli; Rosemary Madigan; Colleen M Brensinger; Suzanne Goldberg; Robert M Califf; Jonas H Ellenberg
Journal:  Am Heart J       Date:  2013-07-12       Impact factor: 4.749

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