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Cost Estimation of Cardiovascular Disease Events in the US

Author

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  • Amy O’Sullivan
  • Jaime Rubin
  • Joshua Nyambose
  • Andreas Kuznik
  • David Cohen
  • David Thompson

Abstract

Background: In this study, we developed cost prediction equations that facilitate estimation of the costs of various cardiovascular events for patients of specific demographic and clinical characteristics over varying time horizons. Methods: We used administrative claims data and generalized linear models to develop cost prediction equations for selected cardiovascular events, including myocardial infarction (MI), angina, strokes and revascularization procedures. Separate equations were estimated for patients with events and for their propensity score-matched controls. Attributable costs were estimated on a monthly basis for the first 36 months after each event and annually thereafter, with differences in survival between cases and controls factored into the longitudinal cost calculations. The regression models were used to estimate event costs ($US, year 2007 values) for the average patient in each event group, over various time periods ranging from 1 month to lifetime. Results: When the equations are run for the average patient in each event group, attributable costs of each event in the acute phase (i.e. first 3 years) are substantial (e.g. MI $US73 300; hospitalization for angina $US36 000; nonfatal haemorrhagic stroke $US71 600). Furthermore, for most events, cumulative costs remain substantially higher among cases than among controls over the remaining lifetime of the patients. Conclusions: This study provides updated estimates of medical care costs of cardiovascular events among a managed care population over various time horizons. Results suggest that the economic burden of cardiovascular disease is substantial, both in the acute phase as well as over the longer term. Copyright Adis Data Information BV 2011

Suggested Citation

  • Amy O’Sullivan & Jaime Rubin & Joshua Nyambose & Andreas Kuznik & David Cohen & David Thompson, 2011. "Cost Estimation of Cardiovascular Disease Events in the US," PharmacoEconomics, Springer, vol. 29(8), pages 693-704, August.
  • Handle: RePEc:spr:pharme:v:29:y:2011:i:8:p:693-704
    DOI: 10.2165/11584620-000000000-00000
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    References listed on IDEAS

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    5. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
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    Cited by:

    1. Daniel F. Otero-Leon & Mariel S. Lavieri & Brian T. Denton & Jeremy Sussman & Rodney A. Hayward, 2023. "Monitoring policy in the context of preventive treatment of cardiovascular disease," Health Care Management Science, Springer, vol. 26(1), pages 93-116, March.
    2. Wesley J. Marrero & Mariel S. Lavieri & Jeremy B. Sussman, 2021. "Optimal cholesterol treatment plans and genetic testing strategies for cardiovascular diseases," Health Care Management Science, Springer, vol. 24(1), pages 1-25, March.
    3. Eric T Roberts & Aaron Horne & Seth S Martin & Michael J Blaha & Ron Blankstein & Matthew J Budoff & Christopher Sibley & Joseph F Polak & Kevin D Frick & Roger S Blumenthal & Khurram Nasir, 2015. "Cost-Effectiveness of Coronary Artery Calcium Testing for Coronary Heart and Cardiovascular Disease Risk Prediction to Guide Statin Allocation: The Multi-Ethnic Study of Atherosclerosis (MESA)," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-20, March.

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