Literature DB >> 27383664

A systematic analysis and comparison of warfarin initiation strategies.

Benjamin French1, Le Wang, Brian F Gage, Richard B Horenstein, Nita A Limdi, Stephen E Kimmel.   

Abstract

OBJECTIVE: Randomized trials have reported inconsistent evidence on the effectiveness of algorithms that use genotypes to initiate warfarin therapy. The Clarification of Optimal Anticoagulation through Genetics (COAG) trial initiated therapy on the basis of predicted maintenance doses, with a pharmacogenetic-guided algorithm in one study group and a clinically guided algorithm in the other. The European Pharmacogenetics of Anticoagulant Therapy (EU-PACT) consortium initiated therapy on the basis of loading doses, with an algorithm-based prediction in one study group and a fixed-dose regimen in the other. To understand the differences between these trials, we compared the initial doses between alternative dosing algorithms (the pharmacogenetic-guided and clinically guided algorithms developed by Gage and colleagues and those developed by the International Warfarin Pharmacogenetics Consortium) and between the COAG and EU-PACT dose-initiation strategies.
METHODS: This was a secondary analysis of the COAG trial - a double-blind, randomized-controlled trial (2009-2013) - conducted at 18 clinical centers in the USA, which included 1010 adults initiating warfarin therapy, of whom 719 achieved maintenance dose.
RESULTS: Among COAG participants, the distribution of initial doses differed between algorithms, but showed similar prediction accuracy for maintenance dose. However, had the COAG trial implemented the EU-PACT strategy, the 3-day initial dose would have been 4.8 mg greater among participants randomized to pharmacogenetic-guided dosing, but only 2.5 mg greater among participants randomized to clinically guided dosing (P<0.001).
CONCLUSION: Compared with the COAG trial, the EU-PACT trial used systematically larger loading doses in the pharmacogenetic-guided group and might have inadequately adjusted for clinical variability in warfarin dose requirements in the fixed-dose group.

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Year:  2016        PMID: 27383664      PMCID: PMC5014593          DOI: 10.1097/FPC.0000000000000235

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  30 in total

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2.  Anticoagulation therapy: genotype-guided anticoagulation therapy-the jury is still out.

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Journal:  Nat Rev Cardiol       Date:  2013-12-03       Impact factor: 32.419

3.  A proposal for an individualized pharmacogenetics-based warfarin initiation dose regimen for patients commencing anticoagulation therapy.

Authors:  P J Avery; A Jorgensen; A K Hamberg; M Wadelius; M Pirmohamed; F Kamali
Journal:  Clin Pharmacol Ther       Date:  2011-09-28       Impact factor: 6.875

4.  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
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5.  Comparison of warfarin pharmacogenetic dosing algorithms in a racially diverse large cohort.

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6.  A pharmacogenetic versus a clinical algorithm for warfarin dosing.

Authors:  Stephen E Kimmel; Benjamin French; Scott E Kasner; Julie A Johnson; Jeffrey L Anderson; Brian F Gage; Yves D Rosenberg; Charles S Eby; Rosemary A Madigan; Robert B McBane; Sherif Z Abdel-Rahman; Scott M Stevens; Steven Yale; Emile R Mohler; Margaret C Fang; Vinay Shah; Richard B Horenstein; Nita A Limdi; James A S Muldowney; Jaspal Gujral; Patrice Delafontaine; Robert J Desnick; Thomas L Ortel; Henny H Billett; Robert C Pendleton; Nancy L Geller; Jonathan L Halperin; Samuel Z Goldhaber; Michael D Caldwell; Robert M Califf; Jonas H Ellenberg
Journal:  N Engl J Med       Date:  2013-11-19       Impact factor: 91.245

7.  Validation and comparison of pharmacogenetics-based warfarin dosing algorithms for application of pharmacogenetic testing.

Authors:  Nitin Roper; Barry Storer; Robert Bona; Min Fang
Journal:  J Mol Diagn       Date:  2010-03-12       Impact factor: 5.568

8.  Prospective alpha allocation in the Clarification of Optimal Anticoagulation through Genetics (COAG) trial.

Authors:  Jungnam Joo; Nancy L Geller; Benjamin French; Stephen E Kimmel; Yves Rosenberg; Jonas H Ellenberg
Journal:  Clin Trials       Date:  2010-08-06       Impact factor: 2.486

9.  Influence of CYP2C9 and VKORC1 on warfarin response during initiation of therapy.

Authors:  N A Limdi; H Wiener; J A Goldstein; R T Acton; T M Beasley
Journal:  Blood Cells Mol Dis       Date:  2009-03-17       Impact factor: 3.039

10.  Dosing algorithms to predict warfarin maintenance dose in Caucasians and African Americans.

Authors:  H Schelleman; J Chen; Z Chen; J Christie; C W Newcomb; C M Brensinger; M Price; A S Whitehead; C Kealey; C F Thorn; F F Samaha; S E Kimmel
Journal:  Clin Pharmacol Ther       Date:  2008-07-02       Impact factor: 6.875

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  4 in total

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Review 2.  Pharmacogenomics of CYP2C9: Functional and Clinical Considerations.

Authors:  Ann K Daly; Allan E Rettie; Douglas M Fowler; John O Miners
Journal:  J Pers Med       Date:  2017-12-28

3.  Machine Learning for Prediction of Stable Warfarin Dose in US Latinos and Latin Americans.

Authors:  Heidi E Steiner; Jason B Giles; Hayley Knight Patterson; Jianglin Feng; Nihal El Rouby; Karla Claudio; Leiliane Rodrigues Marcatto; Leticia Camargo Tavares; Jubby Marcela Galvez; Carlos-Alberto Calderon-Ospina; Xiaoxiao Sun; Mara H Hutz; Stuart A Scott; Larisa H Cavallari; Dora Janeth Fonseca-Mendoza; Jorge Duconge; Mariana Rodrigues Botton; Paulo Caleb Junior Lima Santos; Jason H Karnes
Journal:  Front Pharmacol       Date:  2021-10-29       Impact factor: 5.810

Review 4.  Warfarin Pharmacogenomics in Diverse Populations.

Authors:  Justin B Kaye; Lauren E Schultz; Heidi E Steiner; Rick A Kittles; Larisa H Cavallari; Jason H Karnes
Journal:  Pharmacotherapy       Date:  2017-09-06       Impact factor: 4.705

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