ArticleDiabetology & metabolic syndrome2025
Association between estimated glucose disposal rate with the all-cause and cause-specific mortality among the population with cardiometabolic syndrome.
Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Longitudinal changes and cumulative exposure of estimated glucose disposal rate and all-cause mortality in middle-aged and older Chinese adults.Scientific reports · 2026Article
- Head-to-head comparison of fasting-insulin-based versus non-insulin-based insulin resistance surrogates for predicting all-cause and cardiovascular mortality in hypertensive adults across the glycemic continuum: a prospective cohort study.Cardiovascular diabetology · 2026Article
- Association Between Estimated Glucose Disposal Rate and Biological Aging Among U.S. Adults: A Cross-Sectional Study.Health science reports · 2026Article
- Changes in the estimated glucose disposal rate and cardiometabolic multimorbidity in middle-aged and older adults.Cardiovascular diabetology · 2026Article
- Low estimated glucose disposal rate (eGDR) predicts decreased all-cause mortality in critically ill patients with cardiorenal syndrome (CRS): analysis of the MIMIC-IV database.Scientific reports · 2025Article
- Association of estimated glucose disposition rate with aging acceleration and mortality risk in individuals with cardiovascular-kidney-metabolic syndrome: evidence from two large national population-based studies.Cardiovascular diabetology · 2025Article
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Authors and funding
12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundEstimated glucose disposal rate (eGDR) is considered as a reliable alternative indicator of insulin resistance. However, the relationship between eGDR levels and mortality among individuals with cardiometabolic syndrome (CMS), as well as within different glucose metabolic states in this population, remains unclear.
methodsWe conducted a cohort study on 9928 CMS participants from the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2018. The relationship between eGDR levels and mortality in the CMS population was evaluated using multivariable Cox proportional hazards regression models and restricted cubic splines (RCS). Finally, stratified analysis was performed to determine the relationship between eGDR levels and mortality in different subgroups.
resultsCox regression analysis showed a significant correlation between eGDR levels and both all-cause and cause-specific mortality in the entire CMS population (all p < 0.05). RCS analysis revealed a non-linear relationship between eGDR levels and both all-cause (p for overall < 0.001, p for non-linear < 0.001) and diabetes specific mortality (p for overall < 0.001, p for non-linear = 0.004) in CMS population, while a linear relationship with cardiovascular specific mortality (p for overall < 0.001, p for non-linear = 0.091). In participants with baseline diabetes mellitus (DM), eGDR levels were significantly correlated with all-cause mortality, cardiovascular specific mortality, and diabetes specific mortality (all p < 0.05). In CMS participants with baseline pre-diabetes mellitus (Pre-DM), eGDR levels were significantly correlated with cardiovascular-specific and diabetes-specific mortality (all p < 0.05). In CMS participants with baseline normal glucose regulation (NGR), eGDR levels were only significantly related to diabetes specific mortality (p < 0.05).
conclusionThere is a significant correlation between eGDR levels and both all-cause and cause-specific mortality in the entire CMS population. Furthermore, the protective effect of high eGDR levels on mortality persists across various glucose metabolic states.
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