Prediction of coronary artery disease severity using CHADS₂, CHA₂DS₂-VASc and CHA₂DS₂-VASc-HSF scores

Objective To determine the value of CHADS₂, CHA₂DS₂-VASc and CHA₂DS₂-VASc-HSF scores for prediction of CAD severity. Methods Clinical data about 429 patients who underwent coronary angiography in the department of cardiology in Chinese PLA General Hospital from January 2013 to December 2013 were collected. These patients were divided into control group (n=51) and CAD group (n=378) based on the result of CAG. According to the clinical data, CHADS₂, CHA₂DS₂-VASc and CHA₂DS₂-VASc-HSF scores were respectively calculated. Furthermore, AUC were calculated to access the predictive ability of three kinds of scores. Results The CHADS₂, CHA₂DS₂-VASc and CHA₂DS₂-VASc-HSF scores were correlated with the number of diseased vessels (r=0.317, P< 0.01; r=0.332, P< 0.01; r=0.330, P< 0.01, respectively) and the Gensini score (r=0.240, P< 0.01; r=0.274, P< 0.01; r=0.295, P< 0.01, respectively). For prediction of CAD, the cut-off value of CHA₂DS₂-VASc-HSF score was ≥ 3 with a sensitivity of 86.0% and a specificity of 80.4% (AUC 0.832, 95% CI 0.766 to 0.898, P< 0.001). Conclusion CHADS₂, CHA₂DS₂-VASc and especially CHA₂DS₂-VASc-HSF score can predict the individual risk of developing CAD.