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Published on: February 28, 2012
Estimating Vitamin K Antagonist Anticoagulation Benefit in People With Atrial Fibrillation Accounting for Competing
Sachin J Shah1, Carl van Walraven2, Sun Young Jeon3
1Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA (S.J.S., D.E.S.).
Competing risks of death significantly alter anticoagulant benefit estimates in atrial fibrillation patients. The standard CHA2DS2-VASc model overestimates benefits, particularly for those with shorter life expectancies.
Area of Science:
- Cardiology
- Clinical Trials
- Pharmacology
Background:
- Atrial fibrillation (AF) patients face high mortality, partly from non-vascular causes.
- The competing risk of death can diminish the perceived benefit of anticoagulation.
- Assessing anticoagulant efficacy requires accounting for competing risks.
Purpose of the Study:
- To evaluate if competing risks materially impact the estimated anticoagulant benefit in AF patients.
- To compare the guideline-endorsed CHA2DS2-VASc model with a competing risk model for estimating VKA benefit.
Main Methods:
- Secondary analysis of 12 randomized controlled trials involving AF patients treated with VKAs versus placebo or antiplatelets.
- Estimated absolute risk reduction (ARR) of VKAs for stroke/systemic embolism using CHA2DS2-VASc and a competing risk model.
- Compared benefit estimates based on varying life expectancies.
Main Results:
- The CHA2DS2-VASc model overestimated VKA's ARR compared to the competing risk model (median 3-year ARR: 6.9% vs. 5.2%).
- Benefit overestimation by CHA2DS2-VASc was more pronounced in patients with lower life expectancies.
- For lowest decile life expectancy, the 3-year ARR difference was 4.7%; for highest decile, it was -1.3%.
Conclusions:
- Vitamin K antagonist (VKA) anticoagulants are highly effective in reducing stroke risk in AF.
- The CHA2DS2-VASc model overestimates VKA benefits by not accounting for competing risks and nonlinear benefit.
- Benefit overestimation is greatest with shorter life expectancies and longer estimation horizons.
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