Literature DB >> 21231897

Pharmacoeconomic evaluation of warfarin pharmacogenomics.

Joyce Hs You1.   

Abstract

INTRODUCTION: the merit of applying pharmacogenomics in the induction phase of warfarin therapy for personalized dosing is controversial and highly dependent on its cost-effectiveness. AREAS COVERED: published studies on pharmacoeconomics of warfarin pharmacogenomic application are reviewed. A literature search was done using Medline and Embase covering the period 2000 - 2010. Decision tree and Markov modeling were the most frequently used methods in the reviewed reports. Studies incorporating clinical efficacy data of genotype-guided dosing algorithm had shown that warfarin pharmacogenomics would improve quality-adjusted life-years (QALYs) gained. Nevertheless, it was unlikely to be cost-effective for general patients. Influential factors to improve the cost-effectiveness included low genotyping cost, high effectiveness in improving anticoagulation control/event rate, and applying warfarin pharmacogenomics to patients with high bleeding risk or at practice sites with suboptimal management of anticoagulation control. EXPERT OPINION: warfarin pharmacogenomics would improve QALYs and could possibly be cost-effective in selected patient groups or practice sites.

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Year:  2011        PMID: 21231897     DOI: 10.1517/14656566.2011.521153

Source DB:  PubMed          Journal:  Expert Opin Pharmacother        ISSN: 1465-6566            Impact factor:   3.889


  13 in total

1.  Impact of incorporating ABCB1 and CYP4F2 polymorphisms in a pharmacogenetics-guided warfarin dosing algorithm for the Brazilian population.

Authors:  Letícia C Tavares; Nubia E Duarte; Leiliane R Marcatto; Renata A G Soares; Jose E Krieger; Alexandre C Pereira; Paulo Caleb Junior Lima Santos
Journal:  Eur J Clin Pharmacol       Date:  2018-07-26       Impact factor: 2.953

2.  CYP2C9 and VKORC1 polymorphisms influence warfarin dose variability in patients on long-term anticoagulation.

Authors:  Paulo Caleb Junior Lima Santos; Carla Luana Dinardo; Isolmar Tadeu Schettert; Renata Alonso Gadi Soares; Liz Kawabata-Yoshihara; Isabela Martins Bensenor; José Eduardo Krieger; Paulo Andrade Lotufo; Alexandre Costa Pereira
Journal:  Eur J Clin Pharmacol       Date:  2012-09-19       Impact factor: 2.953

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.  Association between VKORC1 gene polymorphism and warfarin dose requirement and frequency of VKORC1 gene polymorphism in patients from Kerman province.

Authors:  Mohammad Javad Soltani Banavandi; Naghmeh Satarzadeh
Journal:  Pharmacogenomics J       Date:  2020-01-06       Impact factor: 3.550

Review 5.  Personalizing medicine with clinical pharmacogenetics.

Authors:  Stuart A Scott
Journal:  Genet Med       Date:  2011-12       Impact factor: 8.822

6.  Warfarin anticoagulant therapy: a Southern Italy pharmacogenetics-based dosing model.

Authors:  Cristina Mazzaccara; Valeria Conti; Rosario Liguori; Vittorio Simeon; Mario Toriello; Angelo Severini; Corrado Perricone; Alfonso Meccariello; Pasquale Meccariello; Dino Franco Vitale; Amelia Filippelli; Lucia Sacchetti
Journal:  PLoS One       Date:  2013-08-26       Impact factor: 3.240

Review 7.  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

8.  Economic analyses of genetic tests in personalized medicine: clinical utility first, then cost utility.

Authors:  Scott D Grosse
Journal:  Genet Med       Date:  2013-10-10       Impact factor: 8.822

9.  Cost-effectiveness of dabigatran versus genotype-guided management of warfarin therapy for stroke prevention in patients with atrial fibrillation.

Authors:  Joyce H S You; Kia K N Tsui; Raymond S M Wong; Gergory Cheng
Journal:  PLoS One       Date:  2012-06-22       Impact factor: 3.240

Review 10.  Opioid therapy pharmacogenomics for noncancer pain: efficacy, adverse events, and costs.

Authors:  Yan Xu; Ana Johnson
Journal:  Pain Res Treat       Date:  2013-09-18
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