A new model constructed using biochemical indices for predicting cardiac diastolic function in patients with type 2 diabetes mellitus
10.3969/j.issn.1006-6187.2025.03.003
- VernacularTitle:基于生化指标构建2型糖尿病患者心脏舒张功能预测模型的研究
- Author:
Chenzi LI
1
;
Shoujun WANG
1
Author Information
1. 450052 郑州大学第一附属医院内分泌科
- Publication Type:Journal Article
- Keywords:
Diabetes mellitus,type 2;
Cardiac diastolic function;
Renal function;
Cardiovascular kidney metabolic syndrome
- From:
Chinese Journal of Diabetes
2025;33(3):173-177
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a new model for predicting cardiac function in patients with type 2 diabetes mellitus(T2DM)by using biochemical indicators,in order to find the intrinsic factors affecting cardiac function in T2DM patients.Methods A total of 361 patients with T2DM admitted to the Department of Endocrinology of The First Affiliated Hospital of Zhengzhou University from January 2023 to January 2024 were retrospectively selected.They were divided into T2DM group(n=117)and decreased ventricular diastolic function group(n=244)according to cardiac function.General characteristics and biochemical indicators were collected in the two groups,as well as echocardiography.Logistic regression was used to construct a new prediction model.The area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the accuracy of the model,and the Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results Age,DM duration,TC,urea,serum creatinine(Scr),25(OH)D3 and HDL-C were higher,while TG,triglyceride and glucose product index,serum uric acid(SUA)and glomerular filtration rate(eGFR)were lower in the ventricular diastolic function decline group than in the T2DM group(P<0.05).Logistic regression analysis showed that the duration of DM,urea,Scr,SUA and eGFR were the influencing factors for cardiac diastolic function decline inpatients with T2DM,and the prediction model was constructed as follows:y=7.054+0.097×ln DM duration+0.209×ln urea-0.203×ln Scr-0.003×ln SUA-0.052×ln eGFR,AUC was 0.832,sensitivity was 0.713,specificity was 0.803,cut-off value was 0.69,and the model fitted well and had certain predictive value.Conclusions The decline of cardiac diastolic function in patients with T2DM is related to DM duration,urea,SUA,Scr and eGFR.The new model has a good predictive effect on cardiac function in patients with T2DM and provides clinical value.
