Literature DB >> 15213846

The risk of bleeding complications in patients with cytochrome P450 CYP2C9*2 or CYP2C9*3 alleles on acenocoumarol or phenprocoumon.

Loes E Visser1, Ron H N van Schaik, Martin van Vliet, Paul H Trienekens, Peter A G M De Smet, Arnold G Vulto, Albert Hofman, Cornelia M van Duijn, Bruno H Ch Stricker.   

Abstract

The principal enzyme involved in coumarin metabolism is CYP2C9. Allelic variants of CYP2C9, CYP2C9*2 and CYP2C9*3, code for enzymes with reduced activity. Despite increasing evidence that patients with these genetic variants require lower maintenance doses of anticoagulant therapy, there is lack of agreement among studies on the risk of bleeding and CYP2C9 polymorphisms. It was, therefore, our objective to study the effect of the CYP2C9 polymorphisms on bleeding complications during initiation and maintenance phases of coumarin anticoagulant therapy. The design of the study was a population-based cohort in a sample of the Rotterdam Study, a study in 7,983 subjects. All patients who started treatment with acenocoumarol or phenprocoumon in the study period from January 1, 1991 through December 31, 1998 and for whom INR data were available were included. Patients were followed until a bleeding complication, the end of their treatment, death or end of the study period. Proportional hazards regression analysis was used to estimate the risk of a bleeding complication in relation to CYP2C9 genotype after adjustment for several potentially confounding factors such as age, gender, target INR level, INR, time between INR measurements, and aspirin use. The effect of variant genotype on bleeding risk was separately examined during the initiation phase of 90 days after starting therapy with coumarins. The 996 patients with analysable data had a mean follow-up time of 481 days (1.3 years); 311 (31.2%) had at least 1 variant CYP2C9 allele and 685 (68.8%) had the wild type genotype. For patients with the wild type genotype, the rate of minor bleeding, major bleeding and fatal bleeding was 15.9, 3.4 and 0.2 per 100 treatment-years, respectively. For patients with a variant genotype, the rate of minor, major and fatal bleeding was 14.6, 5.4 and 0.5 per 100 treatment-years. Patients with a variant genotype on acenocoumarol had a significantly increased risk for a major bleeding event (HR 1.83, 95% CI: 1.01-3.32). During the initiation phase of therapy we found no effect of variant genotype on bleeding risk. In this study among outpatients of an anticoagulation clinic using acenocoumarol or phenprocoumon, having a variant allele of CYP2C9 was associated with an increased risk of major bleeding events in patients on acenocoumarol, but not in patients on phenprocoumon. Although one might consider the assessment of the CYP2C9 genotype of a patient for dose adjustment before starting treatment with acenocoumarol, a prospective randomised trial should demonstrate whether this reduces the increased risk of major bleeding events.

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Year:  2004        PMID: 15213846     DOI: 10.1160/TH03-12-0741

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  23 in total

1.  A pharmacokinetic-pharmacodynamic model for predicting the impact of CYP2C9 and VKORC1 polymorphisms on fluindione and acenocoumarol during induction therapy.

Authors:  Céline Verstuyft; Xavier Delavenne; Alexandra Rousseau; Annie Robert; Michel Tod; Bertrand Diquet; Martine Lebot; Patrice Jaillon; Laurent Becquemont
Journal:  Clin Pharmacokinet       Date:  2012-01-01       Impact factor: 6.447

Review 2.  Comparative pharmacokinetics of vitamin K antagonists: warfarin, phenprocoumon and acenocoumarol.

Authors:  Mike Ufer
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

Review 3.  Oral anticoagulant therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.

Authors:  Walter Ageno; Alexander S Gallus; Ann Wittkowsky; Mark Crowther; Elaine M Hylek; Gualtiero Palareti
Journal:  Chest       Date:  2012-02       Impact factor: 9.410

Review 4.  [CYP2D6-, CYP2C9- and CYP2C19-based dose adjustments: when do they make sense?].

Authors:  A Seeringer; J Kirchheiner
Journal:  Internist (Berl)       Date:  2008-07       Impact factor: 0.743

5.  Sustained atrial fibrillation increases the risk of anticoagulation-related bleeding in heart failure.

Authors:  Jürgen H Prochaska; Sebastian Göbel; Markus Nagler; Torben Knöpfler; Lisa Eggebrecht; Heidrun Lamparter; Marina Panova-Noeva; Karsten Keller; Meike Coldewey; Christoph Bickel; Michael Lauterbach; Roland Hardt; Christine Espinola-Klein; Hugo Ten Cate; Thomas Rostock; Thomas Münzel; Philipp S Wild
Journal:  Clin Res Cardiol       Date:  2018-06-09       Impact factor: 5.460

6.  Cytochrome P450 2C9 variants influence response to celecoxib for prevention of colorectal adenoma.

Authors:  Andrew T Chan; Ann G Zauber; Meier Hsu; Aurora Breazna; David J Hunter; Rebecca B Rosenstein; Craig J Eagle; Ernest T Hawk; Monica M Bertagnolli
Journal:  Gastroenterology       Date:  2009-02-21       Impact factor: 22.682

7.  Pharmacogenetics of anticoagulants.

Authors:  Anders Rane; Jonatan D Lindh
Journal:  Hum Genomics Proteomics       Date:  2010-09-13

Review 8.  Pharmacogenetics of oral anticoagulants: a basis for dose individualization.

Authors:  Simone Stehle; Julia Kirchheiner; Andreas Lazar; Uwe Fuhr
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

9.  Dependency of phenprocoumon dosage on polymorphisms in the VKORC1 and CYP2C9 genes.

Authors:  Berisha Qazim; Claudia Stöllberger; Walter Krugluger; Astrid Dossenbach-Glaninger; Josef Finsterer
Journal:  J Thromb Thrombolysis       Date:  2008-07-16       Impact factor: 2.300

10.  The Rotterdam Study: 2010 objectives and design update.

Authors:  Albert Hofman; Monique M B Breteler; Cornelia M van Duijn; Harry L A Janssen; Gabriel P Krestin; Ernst J Kuipers; Bruno H Ch Stricker; Henning Tiemeier; André G Uitterlinden; Johannes R Vingerling; Jacqueline C M Witteman
Journal:  Eur J Epidemiol       Date:  2009       Impact factor: 8.082

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