| Objective:The purpose of this study was to explore the traditional and new risk factors of acute coronary syndrome(ACS),and the relationship between related risk factors and severity of coronary artery disease.Early identification and intervention of ACS risk factors can reduce the occurrence and development of it,and to provide some help for its disease assessment.Methods:A total of 166 patients with chest pain,chest tightness in the Department of Cardiology,Affiliated Hospital of Guilin Medical College,were collected from July 2016 to October2017.According to the results of American Heart Association and the American Heart Association(ACC/AHA)and coronary angiography,51 patients were divided into ACS group(n=51),56 patients were divided into SAP group(n=56)and 59 patients were divided into control group group(n=59).Other heart,kidney,lung diseases,acute and slow infection,infection,malignant tumor and other diseases were excluded,anticoagulant and antiplatelet drugs were not taken in the last 2 weeks,and the clinical data were complete.The age and sex of each group were recorded,height and weight were measured,and body mass index(BMI)was calculated.Patients were asked whether they had history of smoking,hypertension or diabetes.Determination of resting heart rate after admission,PLT,PDW,MPV,PCT,FIB,D-D,CysC,TG,CHOL,LDL-c,HDL-c,UA and blood gas analysis.The severity of coronary artery disease was evaluated based on the results of coronary angiography.The above indexes were analyzed by the statistical software SPSS18.0.test.Results:(1)The comparison of basic data between three groups:ACS group and SAP group were compared with control group:Resting heart rate and BMI,smoking increased significantly,the difference was statistically significant.There was no significant difference between ACS group and SAP group.And there was no significant difference in age,sex,history of hypertension and diabetes between the three groups.(2)The comparison of the laboratory data between the three groups:ACS group and SAP group were compared with control group:the level of MPV,FIB was increased,the difference was statistically significant(P<0.05).And the ACS group compared with the SAP group:the level of MPV and FIB significantly increased.ACS group and SAP group were compared with control group:the level of LDL-c increased and HDL-c level decreased significantly(P<0.05).There was no significant difference between ACS group and SAP group.The ACS group was compared with the control group:the levels of D-D and HCO3~-level decreased,and the difference was statistically significant(P<0.05).There was no significant difference in the level of Cys C between the three groups.(3)Taking ACS as dependent variable,chi square test and one-way ANOVA(P<0.05)were used to carry out multivariate Logistic regression analysis,it is suggested that resting heart rate,LDL-c,MPV,FIB and acid replacement are risk factors for ACS.(4)Pearson correlation analysis suggests,there was a significant positive correlation between resting heart rate,MPV,FIB and Gensini score in ACS group.There was a significant negative correlation between HCO3~-and Gensini score.The correlation between LDL-c and Gensini score was not statistically significant.Spearman correlation analysis shows that,In ACS group,the resting heart rate,MPV and FIB were positively correlated with the number of diseased branches.There was no significant correlation between LDL-c,HCO3~-and the number of diseased branches.Conclusion:(1)Resting heart rate,smoking BMI,MPV,LDL-C,HDL-c,FIB,D-D,HCO3~-were closely associated with ACS,and LDL-c was a traditional independent risk factor for ACS.Resting heart rate,MPV,FIB were new independent risk factors for ACS.(2)The rate of resting heart rate increased rapidly,the level of MPV,FIB and the degree of metabolic acidosis were increased,which was closely related to the severity of coronary artery disease. |