Literature DB >> 20386359

Gene-based warfarin dosing compared with standard of care practices in an orthopedic surgery population: a prospective, parallel cohort study.

Gwendolyn A McMillin1, Roberta Melis, Andrew Wilson, Michael B Strong, Nathan A Wanner, Russell G Vinik, Christopher L Peters, Robert C Pendleton.   

Abstract

Warfarin remains a difficult drug to manage due to a narrow therapeutic range and wide interindividual variability in dose requirements. The relationship between warfarin sensitivity and CYP2C9 and VKORC1 variants is strong, and is the basis for several proposed dosing algorithms. Here a gene-based dosing algorithm was compared with standard of care dosing in patients receiving warfarin to prevent venous thromboembolism after joint replacement surgery. Participants (n = 229) were adults (> or =18 years) undergoing elective total hip or knee arthroplasty and receiving warfarin under the direction of a dedicated anticoagulation services team. Patients were assigned to genotype-based or standard of care dosing arms in an alternating fashion. Initial dose for patients was determined by validated algorithms from Sconce 2005 and Pendleton 2008. Management was based on INR, but dose was adjusted less aggressively for patients with CYP2C9 variants. The primary endpoint was reduction in the incidence of adverse events; additional endpoints included time to first therapeutic INR (1.8-2.9), time to first supratherapeutic INR, and percent of INR determinations that fell below, within, and above the therapeutic range. Endpoints did not achieve statistical significance, possibly due to the management of this study by a dedicated and experienced anticoagulation services team. Trends in the data suggest that patients with genetic variants progressed to a therapeutic INR faster than patients in whom genetic variants were not detected, and there were fewer adverse events in the genotype-based dosing arm. In addition, the results of this study confirm those of others demonstrating clear relationship of genotype for CYP2C9 and VKORC1 with warfarin dose requirements; as the number of variants in these genes increases, the dose requirement decreases. Of note, the gene-based algorithm utilized here significantly underpredicted the dose requirement for participants with no variants, indicating that patients with no variants should be managed with a different algorithm than patients who inherit genetic variants in CYP2C9 and/or VKORC1. In conclusion, gene-based dosing did not improve warfarin management as defined by INR dose response, using the described protocols for implementation. Findings suggest alternative strategies for dosing based on the presence or absence of genetic variants is needed.

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Year:  2010        PMID: 20386359     DOI: 10.1097/FTD.0b013e3181d925bb

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  19 in total

1.  Testing of VKORC1 and CYP2C9 alleles to guide warfarin dosing. Test category: pharmacogenomic (treatment).

Authors:  Daurice Grossniklaus
Journal:  PLoS Curr       Date:  2010-09-14

2.  Myocardial ischaemia after hip and knee arthroplasty: incidence and risk factors.

Authors:  Anne Ruth Bass; Tomás Rodriguez; Gina Hyun; Francisco Gerardo Santiago; Jacqueline Ilji Kim; Scott Christopher Woller; Brian Foster Gage
Journal:  Int Orthop       Date:  2015-07-09       Impact factor: 3.075

Review 3.  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

Review 4.  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

Review 5.  Cardiovascular drugs and the genetic response.

Authors:  Sonny Dandona
Journal:  Methodist Debakey Cardiovasc J       Date:  2014 Jan-Mar

6.  The influence of VKORC1 and CYP2C9 mutations on warfarin response after total hip and knee arthroplasty.

Authors:  Eric S Wise; Stephen P Gadomski; William G McMaster; Robert J Wilson; Justin K Nelms; Kyle M Hocking; Colleen M Brophy
Journal:  J Orthop       Date:  2015-11-28

7.  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

Review 8.  Warfarin pharmacogenetics: does more accurate dosing benefit patients?

Authors:  Charles Eby
Journal:  Semin Thromb Hemost       Date:  2012-10-09       Impact factor: 4.180

Review 9.  Effect of genetic variants, especially CYP2C9 and VKORC1, on the pharmacology of warfarin.

Authors:  Erik Fung; Nikolaos A Patsopoulos; Steven M Belknap; Daniel J O'Rourke; John F Robb; Jeffrey L Anderson; Nicholas W Shworak; Jason H Moore
Journal:  Semin Thromb Hemost       Date:  2012-10-06       Impact factor: 4.180

Review 10.  Warfarin Pharmacogenetics: New Life for an Old Drug.

Authors:  Ming-Shien Wen; Ming Ta Michael Lee
Journal:  Acta Cardiol Sin       Date:  2013-05       Impact factor: 2.672

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