Literature DB >> 28032893

Anticoagulation endpoints with clinical implementation of warfarin pharmacogenetic dosing in a real-world setting: A proposal for a new pharmacogenetic dosing approach.

M J Arwood1,2, J Deng3, K Drozda4, O Pugach5, E A Nutescu6,7,8, S Schmidt3, J D Duarte1,2, L H Cavallari1,2.   

Abstract

Achieving therapeutic anticoagulation efficiently with warfarin is important to reduce thrombotic and bleeding risks and is influenced by genotype. Utilizing data from a diverse population of 257 patients who received VKORC1 and CYP2C9 genotype-guided warfarin dosing, we aimed to examine genotype-associated differences in anticoagulation endpoints and derive a novel pharmacogenetic nomogram to more optimally dose warfarin. We observed significant differences across patients with 0, 1, or ≥2 reduced-function VKORC1 or CYP2C9 alleles, respectively, in time to achieve therapeutic international normalized ratio (INR) (7.8 ± 5.8, 7.2 ± 4.7, and 5.4 ± 4.6 days, P = 0.0004) and mean percentage of time in therapeutic range in the first 28 days (22.2, 27.8, and 32.2%, P = 0.0127) with use of existing pharmacogenetic algorithms. These data suggest that more aggressive dosing is necessary for patients with 0 to 1 VKORC1/CYP2C9 variants to more efficiently achieve therapeutic anticoagulation. Herein, we provide a novel kinetic/pharmacodynamic-derived dosing nomogram optimized for a heterogeneous patient population.
© 2016 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2016        PMID: 28032893      PMCID: PMC5395307          DOI: 10.1002/cpt.558

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  44 in total

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Authors:  Gordon H Guyatt; Elie A Akl; Mark Crowther; David D Gutterman; Holger J Schuünemann
Journal:  Chest       Date:  2012-02       Impact factor: 9.410

2.  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

3.  Genotypes of the cytochrome p450 isoform, CYP2C9, and the vitamin K epoxide reductase complex subunit 1 conjointly determine stable warfarin dose: a prospective study.

Authors:  John F Carlquist; Benjamin D Horne; Joseph B Muhlestein; Donald L Lappé; Bryant M Whiting; Matthew J Kolek; Jessica L Clarke; Brent C James; Jeffrey L Anderson
Journal:  J Thromb Thrombolysis       Date:  2006-12       Impact factor: 2.300

4.  A polymorphism in the VKORC1 regulator calumenin predicts higher warfarin dose requirements in African Americans.

Authors:  D Voora; D C Koboldt; C R King; P A Lenzini; C S Eby; R Porche-Sorbet; E Deych; M Crankshaw; P E Milligan; H L McLeod; S R Patel; L H Cavallari; P M Ridker; G R Grice; R D Miller; B F Gage
Journal:  Clin Pharmacol Ther       Date:  2010-03-03       Impact factor: 6.875

5.  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

6.  A prospective, randomized pilot trial of model-based warfarin dose initiation using CYP2C9 genotype and clinical data.

Authors:  Michael A Hillman; Russell A Wilke; Steven H Yale; Humberto J Vidaillet; Michael D Caldwell; Ingrid Glurich; Richard L Berg; John Schmelzer; James K Burmester
Journal:  Clin Med Res       Date:  2005-08

7.  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

8.  A method to determine the optimal intensity of oral anticoagulant therapy.

Authors:  F R Rosendaal; S C Cannegieter; F J van der Meer; E Briët
Journal:  Thromb Haemost       Date:  1993-03-01       Impact factor: 5.249

Review 9.  The epidemiology of venous thromboembolism.

Authors:  Richard H White
Journal:  Circulation       Date:  2003-06-17       Impact factor: 29.690

10.  Early adoption of dabigatran and its dosing in US patients with atrial fibrillation: results from the outcomes registry for better informed treatment of atrial fibrillation.

Authors:  Benjamin A Steinberg; Dajuanicia N Holmes; Jonathan P Piccini; Jack Ansell; Paul Chang; Gregg C Fonarow; Bernard Gersh; Kenneth W Mahaffey; Peter R Kowey; Michael D Ezekowitz; Daniel E Singer; Laine Thomas; Eric D Peterson; Elaine M Hylek
Journal:  J Am Heart Assoc       Date:  2013-11-25       Impact factor: 5.501

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  14 in total

1.  Pharmacogenetic Implementation Lessons From the "Real World".

Authors:  D M Roden
Journal:  Clin Pharmacol Ther       Date:  2017-03-25       Impact factor: 6.875

2.  Use of electronic health record data from diverse primary care practices to identify and characterize patients' prescribed common medications.

Authors:  Allison M Cole; Kari A Stephens; Imara West; Gina A Keppel; Ken Thummel; Laura-Mae Baldwin
Journal:  Health Informatics J       Date:  2018-12-10       Impact factor: 2.681

Review 3.  Precision dosing of warfarin: open questions and strategies.

Authors:  Xi Li; Dan Li; Ji-Chu Wu; Zhao-Qian Liu; Hong-Hao Zhou; Ji-Ye Yin
Journal:  Pharmacogenomics J       Date:  2019-02-12       Impact factor: 3.550

4.  Nonlinear Machine Learning in Warfarin Dose Prediction: Insights from Contemporary Modelling Studies.

Authors:  Fengying Zhang; Yan Liu; Weijie Ma; Shengming Zhao; Jin Chen; Zhichun Gu
Journal:  J Pers Med       Date:  2022-04-29

5.  Evaluation of oral anticoagulants with vitamin K epoxide reductase in its native milieu.

Authors:  Xuejie Chen; Da-Yun Jin; Darrel W Stafford; Jian-Ke Tie
Journal:  Blood       Date:  2018-08-08       Impact factor: 22.113

6.  Warfarin and vitamin K epoxide reductase: a molecular accounting for observed inhibition.

Authors:  Sangwook Wu; Xuejie Chen; Da-Yun Jin; Darrel W Stafford; Lee G Pedersen; Jian-Ke Tie
Journal:  Blood       Date:  2018-05-09       Impact factor: 22.113

Review 7.  Opportunities and Challenges in Cardiovascular Pharmacogenomics: From Discovery to Implementation.

Authors:  Dan M Roden; Sara L Van Driest; Quinn S Wells; Jonathan D Mosley; Joshua C Denny; Josh F Peterson
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

Review 8.  Pharmacogenetics to guide cardiovascular drug therapy.

Authors:  Julio D Duarte; Larisa H Cavallari
Journal:  Nat Rev Cardiol       Date:  2021-05-05       Impact factor: 32.419

9.  A novel vitamin K derived anticoagulant tolerant to genetic variations of vitamin K epoxide reductase.

Authors:  Xuejie Chen; Yizhou Liu; Natsuko Furukawa; Da-Yun Jin; G Paul Savage; Darrel W Stafford; Yoshitomo Suhara; Craig M Williams; Jian-Ke Tie
Journal:  J Thromb Haemost       Date:  2021-01-22       Impact factor: 5.824

10.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics-Guided Warfarin Dosing: 2017 Update.

Authors:  J A Johnson; K E Caudle; L Gong; M Whirl-Carrillo; C M Stein; S A Scott; M T Lee; B F Gage; S E Kimmel; M A Perera; J L Anderson; M Pirmohamed; T E Klein; N A Limdi; L H Cavallari; M Wadelius
Journal:  Clin Pharmacol Ther       Date:  2017-04-04       Impact factor: 6.875

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