Objective:A study to investigate the relationship between epicardial adipose tissue thickness and presence of coronary artery stenosis and coronary artery disease(CAD) risk factors. To observe the changes of the epicardial adipose tissue thickness before and after standardization and ration by BSA with CHD and no-CHD( stenosis<50%); and survey the sensibility and stability of the epicardial adipose tissue thickness before and after standardization and ration by BSA with coronary artery stenosis.Heart, Brain, and pulmonary other disease history were got rid of.Methods:Select 219 cases of our Hospital in October 2013 to December 2014 by rcceiving coronary angiography people. According to the result coronary angiography were devided into three groups:CHD, no-CHD(stenosis<50%), no-CHD(no stenosis). The selected patient’s name, sex, age, smoking history, blood pressure, blood sugar, the biochemical markers and ultrasound indicator was recorded. The related risk factors for coronary heart disease(CHD) was selected according to univariate and multivariate Logistic regression analysis model. Relationship between EAT thickness and CHD other risk factors were analyzed by multiple linear. The obtained data was compared by ROC curve to determine the best predictive value of risk factors for CHD and the optimal cufoff. Survey the sensibility and stability of the EAT before and after standardization and ration by BSA to reflect coronary artery stenosis by statistical methods.Results:EAT and Genisi of CHD group was higher than no-CHD(stenosis<50%)group and no-CHD(no stenosis) group.We find no statistical differences in EAT between no-CHD(stenosis<50%) group and no-CHD(no stenosis) group(P>0.05).EAT after standardization were obviously different between no-CHD(stenosis<50%) group and no-CHD(no stenosis) group(P<0.01). The indicators before and after standardization were all obviously different between CHD group and no-CHD(stenosis<50%). The study showed that the significant correlation between EAT, high blood pressure, WHR, apo A1 and whether occuring CHD and may be independent risk factor for CHD according to univariate and multivariate Logistic regression analysis model. ROC curve analysis showed that EAT thickness was better predictive value for CHD than high blood pressureã€WHR.The best cutoff point was 5.25 mm. There was a positive correlation between EAT thickness and Gensini score(r=0.836,P<0.01). EAT thickness wasincreased by coronary artery stenosis degree.There was a positive correlation between EAT thickness and age,WHR and a negtive correlation between EAT thickness and apo A1.Conclusion: EAT before and after standardization were gradually increasing with the rise of the coronary artery stenosis degree. Gensini score were gradually increasing with the rise of the coronary artery stenosis degree. EAT in relation to body surface area reflect the changes of coronary artery stenosis degree more sensitively compare to the indicators before standardization. EAT thickness can be used as an independent risk factor for coronary heart disease occuring. EAT has more sensitive redictive value for the occurrence of CHD. EAT has a good correlation with age and obesity. |