Prediction of presence and severity of coronary artery disease using prediction for atherosclerotic cardiovascular disease risk in China scoring system

BACKGROUND: Coronary artery disease (CAD) is one of the leading causes of death and disease burden in China and worldwide. A practical and reliable prediction scoring system for CAD risk and severity evaluation is urgently needed for primary prevention. AIM: To examine whether the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) scoring system could be used for this purpose. METHODS: A total of 6813 consecutive patients who underwent diagnostic coronary angiography were enrolled. The China-PAR score was calculated for each patient and CAD severity was assessed by the Gensini score (GS). RESULTS: Correlation analysis demonstrated a significant relationship between China-PAR and GS (r = 0.266, P < 0.001). In receiver operating characteristic curve analysis, the cut-off values of China-PAR for predicting the presence and the severity of CAD were 7.55% with a sensitivity of 55.8% and specificity of 71.8% [area under the curve (AUC) = 0.693, 95% confidence interval: 0.681 to 0.706, P < 0.001], and 7.45% with a sensitivity of 58.8% and specificity of 67.2% (AUC = 0.680, 95% confidence interval: 0.665 to 0.694, P < 0.001), respectively. CONCLUSION: The China-PAR scoring system may be useful in predicting the presence and severity of CAD.