Exploring The Correlation Study Of Age/EF Ratio In Predicting Acute And Critical Coronary Heart Disease Based On Propensity Score Matching

BackgroundCoronary heart disease is currently one of the common diseases that endanger the health of urban and rural residents in my country.Among them,acute myocardial ischemia caused by acute myocardial ischemia is the main cause of death from coronary heart disease.How to predict the acute and critical coronary heart disease early is particularly important.The ACEF score and its derivative scores based on the age/EF ratio as the core element have been used to clinically predict the prognosis of coronary heart disease,and the accuracy is not significantly different from that of the European cardiac surgery risk assessment system.Age is an independent risk factor for coronary heart disease.EF value is an important parameter reflecting the cardiac ejection function,but there are few studies on the correlation between age/EF ratio and acute and critical coronary heart disease.ObjectiveClarify the correlation between age/EF ratio and acute and critical coronary heart disease,and provide reference data for improving the diagnosis and treatment system of acute and critical coronary heart disease.MethodsA total of 3,060 people who underwent coronary angiography from January 2016 to December 2018 were selected from the Henan Provincial Cardiovascular Disease Clinical Data and Sample Resource Library Engineering Research Center,and the number of coronary artery lesions was determined based on the results of coronary angiography,and the Gensini score was used for evaluation the degree of coronary artery disease.The measurement data in the baseline data are described by the median and quartile;the count data are described by the rate and percentage.Propensity score matching eliminates difference between groups,and binary logistic regression analyzes the correlation between age/EF ratio and hospital admission.Application of receiver operating characteristic(Receiver Operating Characteristic,ROC)curve to determine the best diagnostic threshold.Using multiple logistic regression to analyze the correlation between the age/EF ratio and the number of coronary artery lesions in coronary heart disease.Partial correlation was used to analyze the correlation between the age/EF ratio and the degree of coronary artery disease in coronary heart disease.Results1.A total of 3,060 patients were enrolled in this study,of whom 13.4% were admitted to the emergency department(n=409)and 61.0% were male(n=1867).Men,smoking history,alcohol drinking history,and hypertension history accounted for a relatively high proportion of people admitted to the emergency department.2.The binary multivariate logistic regression analysis showed that the age/EF ratio and the emergency admission of coronary heart disease were associated with OR= 2.995(95% CI 2.091-4.290,P<0.001).After the propensity score was matched to eliminate confounding factors,the age/EF ratio was correlated with coronary heart disease,OR=15.510(95% CI 8.201-29.333,P<0.001).The above results are verified in the subgroup analysis(male: OR= 3.113,95% CI 1.954-4.960,P<0.001;female: OR= 3.140,95% CI1.615-6.104,P= 0.01;≥65 years old: OR= 2.772,95% CI 1.495-5.140,P= 0.001;<65years: OR= 3.241,95% CI 1.710-6.144,P<0.001).3.The age/EF ratio predicts emergency admission for coronary heart disease:AUC=0.607,95%CI 0.575-0.639,P<0.001,cut-off value is 1.1188,sensitivity is 45.5%,and specificity is 77.1%.4.Multivariate logistic regression analysis showed that compared with avascular disease,the age/EF ratio increased by one unit,and the risk of single,double,and three-vessel coronary artery disease was increased(single: OR= 2.241,95% CI 1.161-4.326,P=0.016;double branch: OR= 5.303,95% CI 2.725-10.319,P<0.001;three branches: OR= 18.082,95% CI 9.563-34.190,P<0.001).The results of partial correlation analysis suggested that the age/EF ratio was positively correlated with Gensini score,ρ=0.291,P<0.001.ConclusionAn increase in the age/EF ratio increases the risk of emergency admission to coronary heart disease,and can reflect the degree of coronary artery disease,which has the potential to predict the emergency and critical illness of coronary heart disease.