ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025
Association Between the Triglyceride-Glucose Index and All-Cause Mortality Among Patients with Diabetes and Chronic Kidney Disease: A Retrospective Cohort Study.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
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4 authors.
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Abstract
Aim: This study aimed to explore the relationship between the triglyceride-glucose index (TyG) and all-cause mortality among patients with diabetes and chronic kidney disease (CKD). Methods: This was a retrospective cohort study that included 512 patients with diabetes and CKD. The TyG index was considered the exposure factor, and patients were divided into three groups based on the tertiles of the TyG index. The association between the TyG index and all-cause mortality was evaluated using multivariate Cox regression analysis, subgroup analysis, sensitivity analysis, restricted cubic spline (RCS) plot, and receiver operating characteristic (ROC) curves. Results: Significant differences in clinical and metabolic parameters were observed across TyG tertiles, and all-cause mortality was markedly higher in the T3 group (P < 0.001). Multivariate Cox regression analysis showed that in the fully adjusted model (Model 3), the TyG index remained an independent risk factor, both as a continuous variable (HR = 1.582, 95% CI: 1.089-2.298, P = 0.016) and as a categorical variable (T3 vs T1, HR = 3.300, 95% CI: 1.820-5.984, P < 0.001). Subgroup analysis further confirmed consistent associations across various populations, including different age, sex, and comorbidity strata. Sensitivity analysis excluding patients with estimated glomerular filtration rate < 15 mL/min/1.73m Conclusion: The TyG index was independently and nonlinearly associated with all-cause mortality in patients with diabetes and CKD. These findings suggest that the TyG index may serve as a useful, non-invasive biomarker for risk stratification and mortality prediction in this high-risk population, with potential clinical implications for improving long-term management and prognosis.
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