| Objectives: To explore the relationship between Atherogenic Index of Plasma(AIP)and Lipid Accumulation Product(LAP)and Coronary Heart Disease(CHD)in hypertensive people in rural areas of Northeast China,which provides some help for the early diagnosis and treatment of coronary heart disease in hypertensive patients.Methods: This study was a cross-sectional survey with data from 11956 villagers over35 years old who participated in the Northeast Rural Cardiovascular and Cerebrovascular Health Research Cohort from 2012 to 2013.In this study,people with hypertension were screened out,people with missing values in the study variables were removed,and 5933 respondents were finally included.Use Epi Data3.1 to enter the collected data and build a database for statistical analysis using SPSS24.0 statistical software.The population was described by means and standard deviation or composition ratio,and the t-test,ANOVA and chi-square test were used for intergroup analysis.A multivariate adjustment model was established using the logistic regression model to analyze the association between the risk of AIP,LAP and CHD.The association between AIP,LAP and CHD was further explored through stratified analysis,and the Receiver Operating Characteristic(ROC)curve was plotted to evaluate AIP The predictive value of LAP for CHD.Results: 1.This study finally included 5933 students,including 2901 males(48.9%)and 3032 females(51.1%);aged 35.10-92.98 years(57.47±10.25)years old.There were407 patients with coronary heart disease,and the prevalence rate was 6.9%.The basic characteristics of the CHD group and the non-CHD group were compared,and there were no significant differences between the two groups except SBP and DBP,in terms of age,gender,education level,labor intensity,diabetes history,smoking history,drinking history,and BMI level,WC,GLU,TC,TG,HDL-C,LDL-C,glomerular filtration rate,AIP,LAP levels were statistically significant.2.Taking the AIP level as a continuous variable,after multi-factor adjustment,the results show that AIP and CHD have a significant independent positive correlation,and the risk of CHD will increase for each additional SD unit of AIP 1.231-fold(OR: 1.231,95%CI: 1.090-1.390,P=0.001).The AIP quartile was treated as a categorical variable,(Quartile 1: ≤-0.20;Quartile 2:-0.19-0.02;Quartile 3: 0.03-0.25;Quartile 4: ≥0.26)still observed significant correlation trends,and CHD was observed from Q1-Q4 The risk is increasing all the time.Through stratified analysis,the association between AIP level and CHD was further understood,and in the study population with abnormal AIP,in addition to diabetes history and drinking history,the risk of CHD in patients with abnormal AIP compared with the normal population with AIP was different Gender,age,BMI level,smoking history,labor intensity,and education level were statistically significant.3.Taking LAP level as a continuous variable,after adjusting the covariate,the results show that LAP and CHD are independently positively correlated,and in the fully adjusted model,LAP and CHD Risk was positively correlated and the difference was statistically significant(OR: 1.207,95% CI: 1.057-1.378,P=0.005).LAP was treated as a four-class classification(Quartile 1: ≤17.71;Quartile 2: 17.72-32.61;Quartile 3: 32.62-58.26;Quartile 4: ≥58.27),in models 1 to 5,it can be found that from the lowest group(Q1)to the highest group(Q4),the risk of CHD is increasing.In addition to BMI level,diabetes history and drinking history,the risk of CHD in patients with abnormal LAP compared with normal LAP population was statistically significant in stratified variables such as gender,age,education level,labor intensity,smoking history.4.AIP,LAP and CHD were used as ROC curves,and the area under the curve predicted by AIP for coronary heart disease was 0.5856(95% CI: 0.5571-0.6142),and the best cut-off value was-0.075,sensitivity 39.76%,specificity 74.69%;LAP predicted the area under the curve of coronary heart disease as 0.5937(95% CI: 0.5648-0.6227),with an optimal cut-off of 31.37,a sensitivity of 49.33%,and a specificity of66.34%.Conclusions: 1.AIP is positively correlated with the risk of CHD in hypertensive population,and has certain predictive value for CHD in hypertensive population.The best cut-off value of AIP for predicting CHD is-0.075.2.There is a positive correlation between LAP and the risk of CHD in hypertensive patients,and LAP has a certain predictive value for CHD in hypertensive patients.The best cut-off value of LAP for predicting CHD is 31.37. |
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