Your browser doesn't support javascript.
loading
Correlation between the volume of epicardial adipose tissue and SNYTAX score in patients with coronary artery atherosclerosis / 实用放射学杂志
Journal of Practical Radiology ; (12): 1574-1577, 2016.
Article in Chinese | WPRIM | ID: wpr-503031
ABSTRACT
Objective To explore the correlation between the epicaridal adipose tissue (EAT)volume and the SNYTAX score in patients with coronary artery diseases and to evaluate its clinical value.Methods Epicardial fat volume of 102 patients with coronary heart disease in our hospital were measured on dual-source CT angiography images,SNYTAX scores were calculated,and level of blood lipids,blood glucose (Glu),blood pressure,renal functional parameters and body mass index(BMI)were collected.Depending on SNYTAX scores,patients were divided into three groups (mild 0-22,moderate 23-32 and severe>33).The difference of EAT volume between groups and correlation with other indicators were analyzed.With indictors statistical significant in one-factor analysis,multi-ple regression equation was constructed to evaluate the risk factors of coronary artery diseases,particularly correlation between EAT volume and SNYTAX score.Results EAT,TC,TG,HDL,HbALc,GLu and BMI were significant different between three groups. Pearson regression showed that EAT,TC,GLu and BMI were independently risk factor in relation to the value of SNYTAX.Among them,standardized regressive coefficient of the EAT volume was the highest (β=0.52).Conclusion EAT volume is significantly positively correlated with the SNYTAX score in coronary heart disease,which can be as an effective predictor for its severity and prognosis.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Journal of Practical Radiology Year: 2016 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Journal of Practical Radiology Year: 2016 Type: Article