Statin Use in Primary Prevention: A Simple Trial-Based Approach Compared With Guideline-Recommended Risk Algorithms for Selection of Eligible Patients

Background Cardiovascular disease risk assessment tools help identify individuals likely to benefit from preventative therapies. In this study we compared outcomes using the American College of Cardiology/American Heart Association (ACC/AHA) risk algorithm and the Framingham Risk Score (FRS) tool in the Heart Outcomes Prevention Evaluation (HOPE)-3 study. Methods We compared outcomes using the ACC/AHA algorithm and the FRS with those seen in HOPE-3, which randomized participants to 10 mg rosuvastatin or placebo. The first coprimary outcome was the composite of death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke; second coprimary outcome additionally included heart failure, cardiac arrest, and revascularization. Results Relative risks using risk scores were similar to those observed in the HOPE-3. Hazards ratios for the first coprimary outcome according to risk categories of ≤ 10%, 10%-20%, and ≥ 20% using the ACC/AHA algorithm were 0.82 (95% confidence interval [CI], 0.53-1.28), 0.72 (95% CI, 0.53-0.96), and 0.72 (95% CI, 0.55-0.93), and absolute risk reduction (ARR) of 0.18%, 1.33%, and 1.85%, respectively, over a median of 5.6 years. Corresponding results using the FRS were 0.69 (95% CI, 0.36-1.35), 0.73 (95% CI, 0.52-1.01), and 0.75 (95% CI, 0.60- 0.94); and ARR of 1.32%, 0.61%, and 1.43%. Hazard ratios for the second coprimary outcome were 0.77 (95% CI, 0.51-1.14), 0.73 (95% CI, 0.56-0.95), and 0.74 (95% CI, 0.58-0.94); and ARR of 0.36%, 1.49%, and 1.85%, using the ACC/AHA algorithm and 0.76 (95% CI, 0.41-1.41), 0.70 (95% CI, 0.52-0.95), and 0.76 (95% CI, 0.62-0.94); and ARR of 1.08%, 0.83%, and 1.56% using the FRS. Conclusions The pragmatic HOPE-3 trial approach identifies in an ethnically diverse primary prevention population individuals at intermediate risk who benefit from statin therapy using simple clinical characteristics without the need for complex, currently used risk assessment tools.