Relationship Between the Triglyceride-Glucose Index and Type 2 Diabetic Macroangiopathy: A Single-Center Retrospective Analysis

Haipeng Yao; Zhen Sun; Wei Yuan; Chen Shao; Honghua Cai; Lihua Li; Yongjiang Qian; Zhongqun Wang

doi:10.2147/DMSO.S387040

Relationship Between the Triglyceride-Glucose Index and Type 2 Diabetic Macroangiopathy: A Single-Center Retrospective Analysis

Diabetes Metab Syndr Obes. 2022 Nov 9:15:3483-3497. doi: 10.2147/DMSO.S387040. eCollection 2022.

Authors

Haipeng Yao¹, Zhen Sun¹, Wei Yuan¹, Chen Shao¹, Honghua Cai², Lihua Li³, Yongjiang Qian¹, Zhongqun Wang¹

Affiliations

¹ Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
² Department of Burns and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
³ Department of Pathology, Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.

Abstract

Purpose: The research explores the relationship between the triglyceride-glucose index (TyG index) and the macroangiopathy risk in single-center hospitalized type 2 diabetes mellitus (T2DM) patients and develops a risk prediction nomogram model.

Patients and methods: A total of 858 patients with T2DM were studied retrospectively. Lasso regression was used to eliminate unimportant factors, and multivariate logistic regression analysis was used to investigate the association between the TyG index and macrovascular disease in T2DM. A nomogram model was constructed to predict macrovascular disease in T2DM and tested using the bootstrap technique, and the efficacy of the nomogram model was investigated using ROC curves. The multivariate Cox proportional hazards model estimated the association between the TyG index and all-cause mortality.

Results: TyG index, high-density lipoprotein, red blood cell count, hypertension, history of taking ACEI/ARB drugs, and aortic calcification were closely related to macrovascular complications. In Cox proportional hazard model, the HRs of TyG index were 1.89 (95% confidence interval (CI) 1.29-2.76, p < 0.001) after adjusting for covariates. The risk of all-cause mortality in T2DM with macrovascular complications was significantly higher than in diabetic patients without vascular disease. In the ROC curve analysis, the cut-off value of the TyG index for macrovascular complications of T2DM was 9.31 (AUC: 0.702, 95% CI 0.67-0.74, p < 0.001).

Conclusion: TyG index predicts future macrovascular disease in diabetic patients independently of known cardiovascular risk factors, suggesting that TyG index may be a useful marker for prognosis in diabetic patients.

Keywords: cardiovascular events; diabetes; risk factors; triglyceride-glucose index; vascular complications.

Grants and funding

This work was supported as follows: the National Natural Science Foundation of China (82070455); the related Foundation of Jiangsu Province (BK20201225, BE2022780).