Abstract: Objective: To investigate the application of Coronary Artery Disease-Reporting and Data System (CAD-RADS) in the diagnosis of coronary atherosclerotic heart disease(CAD) and its risk factors, and to clarify the effective strength of different risk factors in the diagnosis of CAD by using CAD-RADS. Methods: All the data of 266 patients, who were initially suspected with CAD and underwent CT angiography, were collected and diagnosed by using CAD-RADS and were divided into CAD group(n=174) and non-CAD group(n=69). The informations of age, gender, hypertension, hyperlipemia, diabetes, smoking, serum uric acid (UA) levels, and plasma fibrinogen (FIB) levels of the patients in two groups were analyzed;single factor analysis and multivariate Logstic regression analysis were used to analyze the risk factors of CAD diagnosed by CAD-RADS. Results: Compared with non-CAD group,the ratios of male, hypertension, diabetes,smoking of the patients in CAD group were increased (P<0.05),and the age and the level of UA of the patients in CAD group were also increased (P<0.05). The Logistic regression analysis results showed that age and diabetes were the independent risk factors for CAD diagnosed by CAD-RADS. Conclusion: There are many independent risk factors for CAD diagnosed by CAD-RADS, and age and diabetes are the most correlated risk factors for CAD.

Key words: Coronary Artery Disease-Reporting and Data System, risk factor, CT angiography, coronary atherosclerotic heart disease