Correlation Between Atherogenic Index Of Plasma(AIP) And Serum Uric Acid With Degree Of Coronary Artery Stenosis In Patients With Coronary Heart Disease

Objective:To compare the related risk factors of coronary heart disease(CHD)and explore the correlation between AIP and blood uric acid levels to predict the severity of coronary artery disease in coronary atherosclerotic heart disease(CAD),so as to provide a basis for early prevention of coronary artery disease and selection of reasonable preventive treatment scheme for high-risk lesions.Methods:The data of 304 patients who were admitted to the Cardiovascular Department of Subei People’s Hospital from September 2020 to September 2021 and underwent coronary angiography(CAG)were collected.184 patients who met the diagnostic criteria for CHD after CAG,and the remaining 120 patients who did not meet the diagnostic criteria were set as the control group.The normal distribution data between the control group and the coronary heart disease group were analyzed using two independent sample t-tests,the non normal distribution data were analyzed using Mann Whitney U test,and the comparison of count data between groups was performed using Chi square test.According to the angiographic results,patients in the coronary heart disease group were divided into three subgroups:53 patients in the single vessel lesion group,57 patients in the double vessel lesion group,and 74 patients in the multi vessel lesion group.Data between the groups that conformed to the normal distribution were compared using one-way analysis of variance.At the same time,another grouping method is based on the Gensini score according to the pathological segment and stenosis degree of coronary angiography results,and the correlation between the Gensini score and various factors is analyzed by multiple linear regression.105 patients with a Gensini score of 60<were in the middle and low risk group;79 patients with Gensini score≥60 were classified as highrisk groups,and ROC curve analysis was used based on whether they were high-risk.Collect general data of patients,measure blood lipid data of each group,and calculate the value of AIP according to the formula AIP=log(TG/HDL-C).Results:1.Compare the data of patients in the coronary heart disease group and noncoronary heart disease groupMale,hypertension,age,diabetes,smoking history,lipoprotein in coronary heart disease group α、LDL-C,creatinine,and uric acid were higher in the non-coronary heart disease group than in the non-coronary heart disease group(P<0.05);HDL-C in the coronary heart disease group was lower than that in the non-coronary heart disease group(P<0.05);There was no significant difference in total cholesterol and triglycerides between the two groups(P>0.05)2.Comparison between coronary heart disease patients and non-coronary heart disease patients of different gendersThere was no significant difference in serum uric acid levels between male patients with coronary heart disease and male non coronary heart disease patients;The serum uric acid level in women with coronary heart disease was higher than that in women without coronary heart disease(P<0.05)3.Comparison of test results among different lesion groups in patients with coronary heart diseaseAge,total cholesterol level,lipoprotein in different lesion groups a There was no significant difference in the levels of low-density lipoprotein and low-density lipoprotein(P>0.05);As the number of lesions increased,the patient’s AIP,serum uric acid level,and total triglycerides increased;High density lipoprotein decreased.4.Comparison of blood lipid level,AIP,blood uric acid level and Gensini score in patients with coronary heart disease.Total triglycerides,AIP,and blood uric acid levels were positively correlated with Gensini scores,while high-density lipoprotein was negatively correlated with Gensini scores5.Multiple linear regression analysis of AIP,serum uric acid,and Gensini score.The results of multiple linear regression analysis showed that the regression equation was significant,F=122.558,P<0.001.Uric acid(β=0.456,P<0.001)、AIP(β=0.548(P<0.001)had a significant positive impact on the Gensini score.These variables collectively explain a 57.10%variation in the Gensini score.6.Blood uric acid and AIP predict the number of lesion branches and the ROC curve of coronary artery diseaseThe maximum Yoden index for AIP diagnosis of multiple vessel lesions was 0.394,the critical point AIP value was 0.1761,the sensitivity was 67.2%,the specificity was 72.3%,and the area under the curve was 0.723(95%CI:0.664～0.782,P<0.01);The maximum Jordan index for patients with multiple vessel lesions diagnosed with uric acid was 0.379,and the critical point serum uric acid was 329.5 μ Mol/L,sensitivity 70.2%,specificity 67.6%,area under curve 0.736(95CI:0.680～0.793,P<0.01).In patients diagnosed with AIP,the maximum Jordan index for high risk coronary artery disease was 0.546,the critical point AIP value was 0.1829,the sensitivity was 84.8%,the specificity was 69.8%,and the area under the curve was 0.826(95%CI:0.774～0.878,P<0.01);In patients with uric acid diagnosis,the maximum Jordan index for coronary artery disease risk is 0.368,and the critical point serum uric acid is 329.5 μ Mol/L,sensitivity 75.9%,specificity 60.9%,area under curve 0.72(95CI:0.654～0.786,P<0.01).The combination of AIP and uric acid levels was used to diagnose the number of lesions,with a maximum Jordan index of 0.707,sensitivity of 80.2%,specificity of 90.6%,and area under the curve of 0.909(95%CI:0.863-0.955,P<0.01);The combination of AIP and uric acid levels was used to diagnose high-risk lesions,with a maximum Jordan index of 0.654,sensitivity of 83.5%,specificity of 81.9%,and area under the curve of 0.888(95%CI:0.84-0.936,P<0.01).Conclusion:1.Male,hypertension,aging,diabetes,smoking history,lipoprotein α、LDL-C,creatinine,and uric acid are risk factors for coronary heart disease,while HDL-C is a protective factor for coronary heart disease;There was no significant difference in total cholesterol and triglycerides.The difference in uric acid values among women with coronary heart disease is more significant.2.TG,AIP,and blood uric acid levels are positively correlated with coronary artery severity,while HDL-C is negatively correlated with coronary artery disease severity.3.AIP and blood uric acid levels can be used to predict the number and severity of coronary artery lesions.