AIMS: In this retrospective study we assessed the predictive value of the coronary @entity460 score for significant (>50%) @entity850 relative to conventional risk factors. METHODS AND RESULTS: We investigated 5515 symptomatic @entity1 from Denmark, France, Germany, Italy, Spain and the USA. All had risk factor assessment, computed tomographic coronary angiogram (CTCA) or conventional angiography and a CT scan for coronary artery @entity460 (CAC) scoring. 1539 (27.9%) @entity1 had significant @entity850 , 5.5% of whom had zero CAC. In 5074 @entity1 , multiple binary regression showed the most important predictor of significant @entity850 to be male gender (B=1.07) followed by @entity6 (B=0.70) smoking, hypercholesterolaemia, @entity101 , family history of CAD and age but not @entity28 . When the log transformed CAC score was included, it became the most powerful predictor (B=1.25), followed by male gender (B=0.48), @entity6 , smoking, family history and age but hypercholesterolaemia and @entity101 lost significance. The CAC score is a more accurate predictor of >50% @entity850 than risk factors regardless of the means of assessment of @entity850 . The sensitivity of risk factors, CAC score and the combination for prediction of >50% @entity850 when measured by conventional angiogram was considerably higher than when assessed by CTCA but the specificity was considerably higher when assessed by CTCA. The accuracy of CTCA for predicting >50% @entity850 using the CAC score alone was higher (AUC=0.85) than using a combination of the CAC score and risk factors with conventional angiography (AUC=0.81). CONCLUSION: In symptomatic @entity1 , the CAC score is a more accurate predictor of significant @entity3979 than conventional risk factors.

The coronary @entity460 score is a more accurate predictor of significant XXXX than conventional risk factors in symptomatic @entity1 : Euro-CCAD study.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes', 'diabetes mellitus'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obesity'] @entity3979 :: ('MESH:D023921', 'Disease') :: ['coronary stenosis'] @entity460 :: ('MESH:D002118', 'Chemical') :: ['calcium'] @entity850 :: ('MESH:D003251', 'Disease') :: ['stenosis']
@entity3979 :: (MESH:D023921,Disease) :: ['coronary stenosis']
