Literature DB >> 17989110

Randomized trial of genotype-guided versus standard warfarin dosing in patients initiating oral anticoagulation.

Jeffrey L Anderson1, Benjamin D Horne, Scott M Stevens, Amanda S Grove, Stephanie Barton, Zachery P Nicholas, Samera F S Kahn, Heidi T May, Kent M Samuelson, Joseph B Muhlestein, John F Carlquist.   

Abstract

BACKGROUND: Pharmacogenetic-guided dosing of warfarin is a promising application of "personalized medicine" but has not been adequately tested in randomized trials. METHODS AND
RESULTS: Consenting patients (n=206) being initiated on warfarin were randomized to pharmacogenetic-guided or standard dosing. Buccal swab DNA was genotyped for CYP2C9 *2 and CYP2C9 *3 and VKORC1C1173T with a rapid assay. Standard dosing followed an empirical protocol, whereas pharmacogenetic-guided dosing followed a regression equation including the 3 genetic variants and age, sex, and weight. Prothrombin time international normalized ratio (INR) was measured routinely on days 0, 3, 5, 8, 21, 60, and 90. A research pharmacist unblinded to treatment strategy managed dose adjustments. Patients were followed up for up to 3 months. Pharmacogenetic-guided predicted doses more accurately approximated stable doses (P<0.001), resulting in smaller (P=0.002) and fewer (P=0.03) dosing changes and INRs (P=0.06). However, percent out-of-range INRs (pharmacogenetic = 30.7%, standard = 33.1%), the primary end point, did not differ significantly between arms. Despite this, when restricted to wild-type patients (who required larger doses; P=0.001) and multiple variant carriers (who required smaller doses; P<0.001) in exploratory analyses, results (pharmacogenetic = 29%, standard = 39%) achieved nominal significance (P=0.03). Multiple variant allele carriers were at increased risk of an INR of > or = 4 (P=0.03).
CONCLUSIONS: An algorithm guided by pharmacogenetic and clinical factors improved the accuracy and efficiency of warfarin dose initiation. Despite this, the primary end point of a reduction in out-of-range INRs was not achieved. In subset analyses, pharmacogenetic guidance showed promise for wild-type and multiple variant genotypes.

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Year:  2007        PMID: 17989110     DOI: 10.1161/CIRCULATIONAHA.107.737312

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  207 in total

1.  Genetic warfarin dosing: tables versus algorithms.

Authors:  Brian S Finkelman; Brian F Gage; Julie A Johnson; Colleen M Brensinger; Stephen E Kimmel
Journal:  J Am Coll Cardiol       Date:  2011-02-01       Impact factor: 24.094

2.  Pharmacogenomics training using an instructional software system.

Authors:  John A Springer; Nicholas V Iannotti; Michael D Kane; Kevin Haynes; Jon E Sprague
Journal:  Am J Pharm Educ       Date:  2011-03-10       Impact factor: 2.047

3.  Integration of genetic, clinical, and INR data to refine warfarin dosing.

Authors:  P Lenzini; M Wadelius; S Kimmel; J L Anderson; A L Jorgensen; M Pirmohamed; M D Caldwell; N Limdi; J K Burmester; M B Dowd; P Angchaisuksiri; A R Bass; J Chen; N Eriksson; A Rane; J D Lindh; J F Carlquist; B D Horne; G Grice; P E Milligan; C Eby; J Shin; H Kim; D Kurnik; C M Stein; G McMillin; R C Pendleton; R L Berg; P Deloukas; B F Gage
Journal:  Clin Pharmacol Ther       Date:  2010-04-07       Impact factor: 6.875

Review 4.  Implications of pharmacogenetic testing for patients taking warfarin or clopidogrel.

Authors:  Megan M Donohue; David L Tirschwell
Journal:  Curr Neurol Neurosci Rep       Date:  2011-02       Impact factor: 5.081

5.  Anticoagulant therapy: warfarin sensitivity genotyping closer to clinical practice.

Authors:  Sarina A van der Zee; Jonathan L Halperin
Journal:  Nat Rev Cardiol       Date:  2010-10       Impact factor: 32.419

Review 6.  Personalized medicine: understanding probabilities and managing expectations.

Authors:  Zachary Laksman; Allan S Detsky
Journal:  J Gen Intern Med       Date:  2010-09-28       Impact factor: 5.128

Review 7.  Personalized vascular medicine: individualizing drug therapy.

Authors:  Emil M Degoma; Giovanni Rivera; Scott M Lilly; M Haris U Usman; Emile R Mohler
Journal:  Vasc Med       Date:  2011-10       Impact factor: 3.239

8.  Pharmacokinetic and pharmacodynamic re-evaluation of a genetic-guided warfarin trial.

Authors:  Carlo Federico Zambon; Vittorio Pengo; Stefania Moz; Dania Bozzato; Paola Fogar; Andrea Padoan; Mario Plebani; Francesca Groppa; Giovanni De Rosa; Roberto Padrini
Journal:  Eur J Clin Pharmacol       Date:  2018-02-02       Impact factor: 2.953

9.  A Bayesian dose-individualization method for warfarin.

Authors:  Daniel F B Wright; Stephen B Duffull
Journal:  Clin Pharmacokinet       Date:  2013-01       Impact factor: 6.447

10.  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

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