Framingham risk score and severity of coronary artery disease

Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Easy-to-perform and reliable parameters are needed to predict the presence and severity of CAD and to implement efficient diagnostic and therapeutic modalities. We aimed to examine whether the Framingham risk scoring system can be used for this purpose. A total of 222 patients (96 women, 126 men; mean age, 59.1 +/- 11.9 years) who underwent coronary angiography were enrolled in the study. Presence of > %50 stenosis in a coronary artery was assessed as critical CAD. The Framingham risk score (FRS) was calculated for each patient. CAD severity was assessed by the Gensini score. The relationship between the FRS and the Gensini score was analyzed by correlation and regression analyses. The mean Gensini score was 18.9 +/- 25.8, the median Gensini score was 7.5 (0-172), the mean FRS was 7.7 +/- 4.2, and the median FRS was 7 (0-21). Correlation analysis revealed a significant relationship between FRS and Gensini score (r = 0.432, p < 0.0001). This relationship was confirmed by linear regression analysis (beta = 0.341, p < 0.0001). A cut-off level of 7.5 for FRS predicted severe CAD with a sensitivity of 68 % and a specificity of 73.6 % (ROC area under curve: 0.776, 95 % CI: 0.706-0.845, PPV: 78.1 %, NPV: 62.3 %, p < 0.0001). Our work suggests that the FRS system is a simple and feasible method that can be used for prediction of CAD severity. As the sample size was small in our study, further large-scale studies are needed on this subject to draw solid conclusions.