Cost effectiveness analysis of a next generation risk assessment score for cardiovascular disease

Abstract

Objectives:

The goal of this study is to determine the cost-effectiveness of MIRISK VP, a next generation coronary heart disease risk assessment score, in correctly reclassifying and appropriately treating asymptomatic, intermediate risk patients.

Study design:

A Markov model was employed with simulated subjects based on the Multi-Ethnic Study of Atherosclerosis (MESA). This study evaluated three treatment strategies: (i) practice at MESA enrollment, (ii) current guidelines, and (iii) MIRISK VP in MESA.

Methods:

The model assessed patient healthcare costs and outcomes, expressed in terms of life years and quality-adjusted life years (QALYs), over the lifetime of the cohort from the provider and payer perspective. A total of 50,000 hypothetical individuals were used in the model. A sensitivity analysis was conducted (based on the various input parameters) for the entire cohort and also for individuals aged 65 and older.

Results:

Guiding treatment with MIRISK VP leads to the highest net monetary benefits when compared to the ‘Practice at MESA Enrollment’ or to the ‘Current Guidelines’ strategies. MIRISK VP resulted in a lower mortality rate from any CHD event and a modest increase in QALY of 0.12–0.17 years compared to the other two approaches.

Limitations:

This study has limitations of not comparing performance against strategies other than the FRS, the results are simulated as with all models, the model does not incorporate indirect healthcare costs, and the impact of patient or physician behaviors on outcomes were not taken into account.

Conclusions:

MIRISK VP has the potential to improve patient outcomes compared to the alternative strategies. It is marginally more costly than both the ‘Practice at MESA Enrollment’ and the ‘Current Guidelines’ strategies, but it provides increased effectiveness, which leads to positive net monetary benefits over either strategy.

Keywords::

• Cost-effectiveness analysis
• Cardiovascular disease
• Risk prediction
• Health economics
• MIRISK VP

Transparency

Declaration of funding

Funding for the study was provided by Aviir, Inc., Irvine, CA, USA.

Declaration of financial and other relationships

EH, MB, and CF are employees of Aviir, Inc. ML and KT are paid consultants to Aviir, Inc.

Acknowledgments

The authors thank Dr Matthew D. Solomon and Professor Nathan Wong for their critical review of the manuscript. The authors would also like to thank Mr Jason Moore for his review of the modeling assumptions and Mr Jean-Ezra Yeung for helping with the preparation of the manuscript.