The Study Of The Relation Risk Of Coronary Artery Calcification

Objective: Coronary CT angiography(CTA)was used to perform imaging examination of coronary arteries.Coronary artery calcification scores(CACS)were used to quantitatively evaluate the degree of coronary artery calcification(CAC).Risk factors affecting CAC.Methods: 217 patients with coronary heart disease who underwent 320-line coronary CTA examination from October 2017 to December 2018 at the First Affiliated Hospital of Henan University of Science and Technology.According to different CACS,the patients were divided into 55 cases without calcification group(CACS=0),77 cases with low calcification group(CACS=1~100 points),51 cases with middle calcification group(CACS=101-400 points),34 cases with high calcification group(CACS>400 points).Collect general clinical data,serological findings,coronary CTA results,analyze and compare them,then compare the statistically significant ones with correlation and order multivariate logistic regression analysis,and use ROC curve to assess high risk The predictive value of factors on CAC.Results: Four groups of patients with age,body mass index(BMI),hypertension,diabetes,systolic blood pressure,diastolic blood pressure,pulse pressure difference,low density lipoprotein cholesterol(LDL-C),blood glucose,glycation Glycosylated hemoglobin(HbA1c),uric acid,thyroid stimulating hormone(TSH),and epicardial adipose tissue volume(EATV)were statistically different(P<0.05).There were more patients without calcification in the lower age group,and fewer patients with high calcification.The older the group,the more patients with high calcification,the difference was statistically different(P<0.05).There were significant differences in coronary artery stenosis between different groups of CAC patients(P<0.05).Correlation analysis showed that age,BMI,systolic blood pressure,LDL-C,TSH,EATV were positively correlated with CACS,and there was a linear correlation(P<0.05).Ordered multivariate logistic regression showed that age,BMI,hypertension,diabetes,LDL-C,HbA1 c,and EATV were still independent risk factors for CAC after adjusting for other risk factors.The ROC curve shows that age,BMI,LDL-C,HbA1 c,and EATV can predict the occurrence of CAC,with the area under the EATV curve(AUC)being the largest.Conclusion:1.The incidence of CAC in patients with coronary heart disease in this study is 74.7%,the incidence is higher,and the more severe the calcification,the more common patients with coronary artery stenosis.2.CAC is affected by many risk factors.Age,BMI,hypertension,diabetes,LDL-C,HbA1 c and EATV are risk factors for CAC,of which EATV has the greatest predictive value.