In symptomatic patients, coronary artery calcium score predicted coronary stenosis of more than 50% more accurately than conventional risk factors, according to results of the Euro-CCAD study.
For the retrospective study, researchers analyzed 5,515 symptomatic patients (mean age, 60 years; 60.6% men) from seven centers in six countries. All were assessed for conventional risk factors and had a coronary artery calcium (CAC) score taken using local CT protocol. All were assessed for presence and amount of coronary artery stenosis by conventional or CT coronary angiography.
Rachel Nicoll, BSc, a PhD candidate from the department of public health and clinical medicine, Umeå University and Heart Centre, Umeå, Sweden, and colleagues determined that 28% of patients had significant coronary stenosis, defined as > 50%; 64% had CAC score > 0; median CAC score was 21 and mean number of risk factors was 2.6 per patient.
Predictors of major coronary stenosis
In a multivariate analysis of the conventional risk factors, the following variables predicted coronary stenosis > 50%: male sex (B = 1.07; OR = 2.92; 95% CI, 2.52-3.39), diabetes (B = 0.7; OR = 2.01; 95% CI, 1.67-2.42), smoking (B = 0.36; OR = 1.44; 95% CI, 1.25-1.65), hypercholesterolemia (B = 0.28; OR = 1.32; 95% CI, 1.15-1.51), hypertension (B = 0.24; OR = 1.28; 95% CI, 1.1-1.47), family history of CAD (B = 0.2; OR = 1.23; 95% CI, 1.07-1.4) and age (B = 0.03; OR = 1.03; 95% CI, 1.027-1.04).
When the researchers added CAC score to the multivariate model, it became the most significant predictor of coronary stenosis > 50% (B = 1.25; OR = 3.48; 95% CI, 3.19-3.81), and was true regardless of how stenosis was assessed. Male sex, diabetes, smoking, family history and age remained significant predictors, but hypercholesterolemia and hypertension did not, they wrote.
When they analyzed the 3,106 patients for whom obesity data was available, they determined that obesity was not a significant predictor of coronary stenosis > 50% (P = .68).
Sensitivity of risk factors and/or CAC score for prediction of coronary stenosis > 50% was higher when assessed by conventional angiogram than by CT angiogram, but specificity was higher when measured by CT angiogram, Nicoll and colleagues wrote.
They wrote that accuracy of CT angiogram for predicting coronary stenosis > 50% using the CAC score only was higher (area under the curve = 0.85) than the accuracy of conventional angiogram for predicting coronary stenosis > 50% using CAC score and conventional risk factors (AUC = 0.81).
“This supports the current application of using CT [coronary angiography] for diagnosing patients at intermediate risk with significant stenosis,” Nicoll and colleagues wrote. “These results support those of others and show that the CAC score is highly predictive for significant stenosis. It should therefore maintain its position in the screening process of symptomatic patients, particularly those at intermediate risk, with the caveat that 5.5% of our patients with zero CAC nevertheless had significant stenosis.” – by Erik Swain
Disclosure: The researchers report no relevant financial disclosures.