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Purpose: Currently, stenotic coronary plaques are detected and treated without considering their “vulnerability” to rupture. In this study, we evaluated the potential clinical benefits and cost-effectiveness of a hypothetical catheter-based strategy for the detection and treatment of vulnerable/high-risk plaques in patients with coronary artery disease using decision analysis.
Methods: In a new hypothetical strategy, vulnerable coronary plaques are detected with a catheter-based test and treated with a drug-eluting stent, regardless of degree of stenosis. We developed a Markov-decision model to compare the new strategy with current practice (angioplasty followed by stent placement in stenotic arteries). Monte Carlo simulations were performed from a societal perspective, costs were converted to year 2003 U.S. dollars, and future costs and outcomes were discounted at 3%. Sensitivity analyses were performed to evaluate the effect of assumptions such as the prevalence of plaques and treatment effect.
Results: In 60-year old male patients with coronary stenoses the new strategy would be less expensive and more effective than current practice ($43,103 vs. $44,003 and 10.17 vs. 9.86 quality-adjusted life years, respectively). The benefits of the new strategy were robust in sensitivity analyses (e.g., if the prevalence of vulnerable plaques in this patient group was 50% or more and the sensitivity and specificity of the new test were at least 0.80).
Conclusion: The detection of non-stenotic vulnerable plaques with a catheter-based test followed by their treatment with a drug-eluting stent could be a less expensive and more effective strategy than current practice in patients with coronary artery disease. If applied to 1 million such patients in the US undergoing catheterization, the new strategy could add 310,000 quality-adjusted life years and save $826 million dollars per year.
See more of Poster Session - Utility Theory; Health Economics; Patient & Physician Preferences; Simulation; Technology Assessment
See more of The 26th Annual Meeting of the Society for Medical Decision Making (October 17-20, 2004)