The Correlation Between Serum Uric Acid Level And Coronary Artery Stenosis In Elderly Patients

Objective:This study was conducted to clarify the correlation between serum uric acid levels and coronary artery（referred to as coronary artery）stenosis in elderly patients.This study also determined whether serum uric acid can be used as a risk factor for coronary artery stenosis.Methods:A total of 450 elderly patients who were hospitalized for coronary atherosclerotic heart disease from 2019-1 to 2020-6 in Handan Central Hospital and underwent coronary angiography and percutaneous coronary intervention for the first time during hospitalization were selected.Collecting the general information of selected patients and laboratory test indicators such as glycosylated hemoglobin(Hb A_1c)and serum uric acid（SUA）,calculating their body mass index（BMI）,Gensini score（When the Gensini score was higher,coronary artery stenosis was more severe）.The selected patients were randomly divided into groups,and there was no significant difference in hypertension,hyperlipidemia and diabetes mellitus(Hb A_1c≥6.5 was used as the diagnostic basis of diabetes mellitus).Firstly,To determine the influencing factors of hyperuricemia.The aged patients were divided into hyperuricemia（HUA）group and Non-hyperuricemia（NHUA）group by SUA level.Secondly,To determine the factors affecting the severity of coronary artery stenosis.The Gensini integral was calculated according to the results of coronary angiography,and then the integral was divided into four groups according to the quartile method.HUA group was divided into three groups by every 20μmol/L SUA as intercept for further research,Q1:420μmol/L<SUA≤440μmol/L,Q2:440μmol/L<SUA≤460μmol/L,Q3:SUA>460μmol/L.Comparing the differences between the three groups and coronary artery stenosis.Last but not least,to analyze the correlation between SUA and some risk factors of coronary artery stenosis.Using SPSS 25.0 software,t-test or one-way ANOVA was used to measure normal data,rank sum test was used for non-normal data,chi-square or fisher exact probability method was used for classified data,and Logistic regression analysis was used to determine risk factors.Because the SUA value was too large,the original value of 1/10（SUA/10）was selected for data conversion and then regression analysis.Kendall’s tau-b was used to analyze the correlation.The difference was statistically significant（P<0.05）.Results:1.By comparing the basic clinical data between HUA group and NHUA group found that BMI was statistically different.Through the binary logistic regression analysis,found that BMI[OR=1.150,95%CI（1.036～1.277）]was the risk factor for the HUA（P<0.05）.2.By comparing the basic clinical data of the degree of coronary stenosis among the four groups.The obtained results indicated that Age and SUA were statistically different.After adjusting for age by orderly multivariate logistic regression,found that SUA/10[OR=1.042,95%CI（1.022～1.062）]was still the risk factor for coronary artery stenosis（P<0.05）.HUA group was divided into three groups by every 20μmol/L SUA as intercept for further research.the correlation between the three groups and coronary artery stenosis showed that SUA>460μmol/L was 4.477times higher than 420μmol/L<SUA≤440μmol/L[OR=4.477,95%CI（1.837～10.914）]in elderly patients who suffering from coronary artery stenosis.3.The correlation analysis showed that SUA was positive correlation with BMI,Triglyceride,Alcohol consumption,and the extent of coronary stenosis,and negatively correlated with High-density lipoprotein cholesterol.Conclusion:1.In HUA group and NHUA group,BMI was the risk factor for HUA.2.Among the four groups of coronary artery stenosis,the SUA/10was the hazard factor for coronary stenosis,In the HUA group by further stratification of the SUA level found that the higher the SUA level,the higher the risk of coronary stenosis.3.SUA was positive correlation with BMI,Triglyceride,Drinking,and the extent of coronary stenosis,and SUA was negative correlation with High-density lipoprotein cholesterol.