Introduction
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in developed countries. Therefore, we use different risk assessment tools in order to detect the individuals with “high risk” and manage them in earlier stages. We primarily aimed to compare these risk assessment tools regarding their ability to discriminate the patients with “severe” coronary artery disease (CAD).
Material-Method
A total of 414patients (297men; 61.0± 12.6 years) who underwent coronary angiography were enrolled in the study and evaluated for major risk factors. Cardiovascular risk was defined using Framingham, SCORE and PCRAE tools and the risk category was defined for each patient. Severe CAD was defined as having >50% stenosis in at least one of the major coronary arteries and/or having previous coronary stenting or coronary by-pass surgery.
Material-Method
A total of 414patients (297men; 61.0± 12.6 years) who underwent coronary angiography were enrolled in the study and evaluated for major risk factors. Cardiovascular risk was defined using Framingham, SCORE and PCRAE tools and the risk category was defined for each patient. Severe CAD was defined as having >50% stenosis in at least one of the major coronary arteries and/or having previous coronary stenting or coronary by-pass surgery.
Results
A total of 271 (65.4%) patients had severe CAD. Comparison of ROC curves of mentioned 3 risk assessment tools in terms of finding severe CAD showed no significant difference (Area under the curve of ROC curves belonging Framingham, SCORE and PCRAE tools were 0.727, 0.694 and 0,717, respectively; p>0.05). But. When the individual patients were classified as “mild”, “moderate” or “high” regarding their cardiovascular risk, the number of patients in “high” risk group was significantly different with PCRAE compared to Framingham and SCORE tools (73.4%, 27.5% and 37.9 %, respectively; p<0.001). In addition, the percentage of patients who are not classified in “high risk group” despite having severe CAD was also different among these risk assessment tools (67.8% with Framingham, 55.3% with SCORE and 18.0% with PCRAE; p<0.001). Logistic regression revealed that hypertension, hyperlipidemia, diabetes mellitus, renal failure and being a male were independent factors to detect the individuals having severe CAD (X2:87.050, p<0.001).
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