Long-term risk of cardiovascular events after detecting silent coronary atheromatosis using computed tomography

Coronary calcium score (CCS) and coronary computed tomography angiography (CTA) assessments using multidetector computed tomography are invaluable for atheromatosis screening. We studied their usefulness in cardiovascular risk assessments, and compared evaluations using the Systematic COronary Risk Evaluation (SCORE) algorithm with those from CTA and CSS assessments in terms of their ability to predict cardiovascular events in Mediterranean patients.

Two hundred and sixty-six asymptomatic patients whose mean age was 55.4 years, 89.5% of whom were men, were evaluated using CTA and CCS and followed for more than 10 years. The CTA and CCS risk predictions were compared with those determined using the SCORE algorithm designed for low-risk populations.

Coronary lesions were present in 140 (53.4%) patients. Of the lesions, 17% were noncalcified, 17% were mixed, and 66% were calcified; in addition, 24.2% of the patients who had lesions had cardiovascular events during follow-up (P<0.00001), but just 2.9% of the patients without lesions. Detection of atheromatosis using computed tomography was associated with an increased risk of cardiovascular disease events at more than 10 years [odds ratio (OR): 6.828; 95% confidence interval (CI): 2.001-23.305; P=0.002]. This OR was higher than that obtained for intermediate-risk individuals (OR: 4.818; 95% CI: 1.360-17.075; P=0.015) and lower than that determined for high-risk individuals (OR: 9.395; 95% CI: 2.489-35.460; P=0.001) using the SCORE algorithm, and higher that that determined for CCS assessments (OR: 3.916; 95% CI: 1.572-9.751; P=0.03). More cardiovascular events were associated with higher amounts of calcium.

The detection of atheromatosis using the CCS and CTA was associated with an increased risk of cardiovascular events at more than 10 years. CTA and CCS assessments had a higher OR than that associated with assessments of patients at intermediate risk using the SCORE algorithm.