Your browser doesn't support javascript.
loading
Application of Coronary Artery Disease-Reporting and Data System in risk factor analysis of patients with coronary artery disease / 吉林大学学报(医学版)
Journal of Jilin University(Medicine Edition) ; (6): 617-621, 2017.
Article in Chinese | WPRIM | ID: wpr-610115
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.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Risk factors Language: Chinese Journal: Journal of Jilin University(Medicine Edition) Year: 2017 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Risk factors Language: Chinese Journal: Journal of Jilin University(Medicine Edition) Year: 2017 Type: Article