Abstract:

Objective To analyze the changes of cholesterol levels of the patients with acute coronary syndrome （ACS）， and to explore the predictive value of residual cholesterol （RC） levels in the occurrence of ACS. Methods A total of 220 ACS patients were selected as ACS group； 220 healthy people underwent physical examination at the same time were selected as control group. The general informations including serum levels of total cholesterol （TC）， low density lipoprotein cholesterol （LDL-c） and high density lipoprotein cholesterol （HDL-c） of the subjects in two groups were collected， and the levels of serum non-high density lipoprotein cholesterol （non HDL-c） and serum residual cholesterol （RC） were calculated. Logistic regression analysis was used to analyze the risk factors of the ACS patients and their correlations with the levels of various lipid components. The receiver operating characteristic curve（ROC） and the area under （AUC） were used to evalue the predictive values of various blood lipid components in the ACS. Results The single factor analysis results showed that compared with control group，the percentages of the patients with hypertension and smoking in ACS group were increased（P<0.01），the levels of TC， RC， LDL-c，non HDL-c of the patients in ACS group were increased（P<0.01），and the level of HDL-c was decreased（P<0.01）.The multivariate Logistic regression analysis results showed that hypertension （OR=0.496， P=0.005）， smoking （OR=0.458， P=0.002），RC level （OR=24.051，P<0.01）， and non HDL-c level（OR=1.711， P<0.01） were the independent risk factors for the occurrence of ACS. The ROC curve analysis results show that compared with non-HDL-c level， the AUC of RC level was larger，which had the higher predictive value for the occurrence of the ACS patients. Conclusion RC level is an independent risk factor for the occurrence of ACS， and has certain predictive value for the occurrence of ACS.

Key words: Acute coronary syndrome, Blood lipid, Residual cholesterol, Risk factor