Literature DB >> 29650716

Cardiovascular Genetic Risk Testing for Targeting Statin Therapy in the Primary Prevention of Atherosclerotic Cardiovascular Disease: A Cost-Effectiveness Analysis.

Jamie Jarmul1, Mark J Pletcher1, Kristen Hassmiller Lich1, Stephanie B Wheeler1, Morris Weinberger1, Christy L Avery1, Daniel E Jonas1, Stephanie Earnshaw1, Michael Pignone1.   

Abstract

BACKGROUND: It is unclear whether testing for novel risk factors, such as a cardiovascular genetic risk score (cGRS), improves clinical decision making or health outcomes when used for targeting statin initiation in the primary prevention of atherosclerotic cardiovascular disease (ASCVD). Our objective was to estimate the cost-effectiveness of cGRS testing to inform clinical decision making about statin initiation in individuals with low-to-intermediate (2.5%-7.5%) 10-year predicted risk of ASCVD. METHODS AND
RESULTS: We evaluated the cost-effectiveness of testing for a 27-single-nucleotide polymorphism cGRS comparing 4 test/treat strategies: treat all, treat none, test/treat if cGRS is high, and test/treat if cGRS is intermediate or high. We tested a set of clinical scenarios of men and women, aged 45 to 65 years, with 10-year ASCVD risks between 2.5% and 7.5%. Our primary outcome measure was cost per quality-adjusted life-year gained. Under base case assumptions for statin disutility and cost, the preferred strategy is to treat all patients with ASCVD risk >2.5% without cGRS testing. For certain clinical scenarios, such as a 57-year-old man with a 10-year ASCVD risk of 7.5%, cGRS testing can be cost-effective under a limited set of assumptions; for example, when statins cost $15 per month and statin disutility is 0.013 (ie, willing to trade 3 months of life in perfect health to avoid 20 years of statin therapy), the preferred strategy (using a willingness-to-pay threshold of $50 000 per quality-adjusted life-year gained) is to test and treat if cGRS is intermediate or high. Overall, the results were not sensitive to assumptions about statin efficacy and harms.
CONCLUSIONS: Testing for a 27-single-nucleotide polymorphism cGRS is generally not a cost-effective approach for targeting statin therapy in the primary prevention of ASCVD for low- to intermediate-risk patients.
© 2018 American Heart Association, Inc.

Entities:  

Keywords:  cardiovascular disease; clinical decision making; genetic testing; quality-adjusted life-year; risk factors

Mesh:

Substances:

Year:  2018        PMID: 29650716     DOI: 10.1161/CIRCOUTCOMES.117.004171

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  5 in total

1.  Integrating a Polygenic Risk Score for Coronary Artery Disease as a Risk-Enhancing Factor in the Pooled Cohort Equation: A Cost-Effectiveness Analysis Study.

Authors:  Deo Mujwara; Geoffrey Henno; Stephen T Vernon; Siyang Peng; Paolo Di Domenico; Brock Schroeder; George B Busby; Gemma A Figtree; Giordano Bottà
Journal:  J Am Heart Assoc       Date:  2022-06-14       Impact factor: 6.106

2.  Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore.

Authors:  Jerry Zeng Yang Wong; Jia Hui Chai; Yen Shing Yeoh; Nur Khaliesah Mohamed Riza; Jenny Liu; Yik-Ying Teo; Hwee Lin Wee; Mikael Hartman
Journal:  BMC Health Serv Res       Date:  2021-04-23       Impact factor: 2.655

Review 3.  Monogenic and Polygenic Models of Coronary Artery Disease.

Authors:  Evan D Muse; Shang-Fu Chen; Ali Torkamani
Journal:  Curr Cardiol Rep       Date:  2021-07-01       Impact factor: 3.955

4.  Cost-effectiveness of Financial Incentives for Patients and Physicians to Manage Low-Density Lipoprotein Cholesterol Levels.

Authors:  Ankur Pandya; David A Asch; Kevin G Volpp; Stephen Sy; Andrea B Troxel; Jingsan Zhu; Milton C Weinstein; Meredith B Rosenthal; Thomas A Gaziano
Journal:  JAMA Netw Open       Date:  2018-09-07

5.  Value of genetic testing in the prevention of coronary heart disease events.

Authors:  Yrjänä Hynninen; Miika Linna; Eeva Vilkkumaa
Journal:  PLoS One       Date:  2019-01-15       Impact factor: 3.240

  5 in total

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