Coronary artery calcium (CAC) score is a neglected biomarker that can be derived from non-cardiac chest computed tomography scan and represents a surrogate for atherosclerosis. We created a simulation model using different CAC score values in the MESA coronary artery risk score in a population derived from the Fourier Trial. CAC score could modulate the sample sizes of cardiovascular trials in primary and secondary prevention and offer new primary prevention treatments to high-risk subjects with reasonable numbers needed to treat comparable to secondary prevention trials.
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