Analysis of factors associated with coronary atherosclerotic heart disease
Coronary atherosclerotic heart disease is a heart disease in which blood vessels are narrowed or even blocked due to coronary atherosclerosis and coronary artery spasm leads to myocardial ischemia or myocardial necrosis.China is a country with a high incidence of coronary heart disease,and the prevalence and mortality rates are on the rise.To a certain extent,coronary heart disease can seriously endanger the life safety of patients and even lead to the death of patients.Therefore,the key to improving the prognosis of coronary heart disease is to effectively predict and diagnose coronary heart disease,increase the clinical diagnosis of coronary heart disease in the early stage,and optimize the intervention measures for coronary heart disease.It has always been a hot topic of clinical research to find predictors with high predictive value for coronary heart disease,and to accurately and early screen asymptomatic or suspected patients with coronary heart disease through economical,simple and non-invasive examinations,to improve prognosis and reduce the mortality rate.This article mainly explores the correlation between coronary heart disease and uric acid levels,retinal microvascular changes,and non-alcoholic fatty liver disease,to provide ideas for the establishment of a new prediction model for coronary heart disease and provide a basis for early clinical screening of asymptomatic or suspected coronary heart disease patients.