Risk factors and risk model construction of coronary heart disease in patients with type 2 diabetes mellitus in Suining area
10.3969/j.issn.1006-2483.2023.03.022
- VernacularTitle:四川遂宁地区2型糖尿病患者并发冠心病危险因素及风险模型构建
- Author:
Tao HE
1
;
Zhen TAN
1
;
Gang HUANG
1
;
Xiaojun HE
1
;
Xue DENG
1
Author Information
1. Department of Second Cardiovascular Centerward , Suining Central Hospital , Suining , Sichuan 629000 , China
- Publication Type:Journal Article
- Keywords:
Type 2 diabetes mellitus;
Coronary heart disease (CHD);
Risk factors;
Prediction model
- From:
Journal of Public Health and Preventive Medicine
2023;34(3):102-105
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the risk factors of coronary heart disease (CHD) in patients with type 2 diabetes mellitus (T2M) in Suining area, and build a risk prediction model to provide theoretical basis for the prevention and treatment of CHD in PATIENTS with T2M. Methods A total of 476 T2M patients treated in our hospital from January 2021 to December 2021 were selected and divided into experimental group (n=79) and control group (n=397) according to whether they had coronary heart disease. The angiographic characteristics of coronary artery lesions in patients with T2M combined with coronary heart disease were observed. Age, sex, body mass index (BMI), smoking, alcohol consumption , T2M course, FBG, FINS, HOMA, TC, LDL-C, SBP, DBP and UA levels of all patients were analyzed. Univariate analysis and Logistic regression were used to analyze the influencing factors of coronary heart disease and establish a risk prediction model. ROC curve was used to predict the efficiency of the model. Results A total of 79 cases (16.60%) of patients with T2M complicated with coronary heart disease, including 64 cases (81.01%) of patients with T2M complicated with coronary artery disease. Mild stenosis in 5 cases (6.33%), moderate stenosis in 20 cases (25.32%) and severe stenosis in 54 cases (68.35%); The mean age, smoking proportion, BMI, T2M course and the levels of FBG, FINS, HOMA-IR, TC, LDL-C, SBP, DBP and UA in experimental group were significantly higher than those in control group (P<0.05). Multivariate logistic regression analysis showed that advanced age, increased SBP, increased LDL-C, and increased FBG were independent risk factors for CORONARY heart disease in T2M patients in Suining area (OR=1.476 , 2.674 , 2.984 , 3.572 , P<0.05). According to the above four independent factors and their corresponding regression coefficients, the expression of risk prediction model was P=1/[1+e-(-0.513+0.919×(old age)+1.129×(increased SBP)+ 1.724×(increased FBG)+ 1.529×(increased LDL-C)]. ROC curve was used to analyze the predictive performance of the regression model. The results showed that the AUC of the risk prediction model for coronary heart disease in T2M patients was 0.728, 95% CI (0.651-0.829). Conclusions T2M patients in Suining have a high risk of coronary heart disease. For elderly patients with elevated SBP, LDL-C and FBG, the risk of coronary heart disease can be assessed by predictive model and targeted intervention measures can reduce the risk of coronary heart disease in T2M patients.
