Correlation Between Plasma SuPAR Level And Coronary Plaque Stability, Severity Of Coronary Lesions In Patients With Coronary Heart Disease And Prediction Of Coronary Heart Disease

Objective: To explore the correlation between plasma suPAR level and coronary atherosclerotic plaque stability, coronary lesions severity in patients with coronary heart disease(CHD) and prediction of CHD.Methods: 149 enrolled patients were divided into acute coronary syndrome(ACS) group(69 cases), stable angina pectoris(SAP) group(35 cases) and control group(45 cases) according to the clinical manifestation and angiographic results. The plasma suPAR levels measured by enzyme linked immunosorbent assay(ELISA) were compared among the groups. The correlation between plasma suPAR level and CHD was analyzed. The relationships of plasma suPAR level with coronary lesions count and Gensini score were studied. ROC curve was performed to evaluate the predictive performance of suPAR for CHD and to identify the optimal cut-off value for predicting the presence of CHD.Results:(1) The plasma suPAR levels in ACS group and SAP group were higher than that in control group(P < 0.05), and plasma suPAR level was significantly higher in ACS group compared to the SAP group(P < 0.05).(2) Statistically significant correlations were observed between plasma suPAR level and the number of diseased vessels(P < 0.05) and Gensini score(P < 0.05).(3)Using simple and partial correlation analysis, plasma suPAR level was positively correlated with CHD. In addition, multivariate logistic regression analysis revealed that suPAR was an independent risk factor of CHD(OR = 3.405, P <0.01).(4) The ROC curve showed that the optimal cut-off point for suPAR to predict CHD was 1.771ng/mL.The area under the ROC curve was 0.745(95%CI=0.661?0.828,P<0.001).Conclusions: Plasma suPAR level was positively correlated with atherosclerotic plaque stability and coronary lesions severity in patients with CHD. suPAR may serve as an independent risk factor of CHD. The cut-off value of suPAR may be one of the indicators to predict CHD.