Association of the estimated glucose disposal rate combined with a body shape index with all-cause and cardiovascular-specific mortality among individuals with cardiovascular-kidney-metabolic syndrome

Cardiovasc DiabetolPublished Population-based cohort study

Authors' conclusion

Both eGDR and ABSI are independent and combined predictors of mortality risk among individuals with CKM syndrome. Their combined use significantly improves risk stratification and machine learning models provide an effective tool for precise risk assessment in this population.

Study context

Population
Individuals with stage 0–4 cardiovascular-kidney-metabolic (CKM) syndrome, National Health and Nutrition Examination Survey (NHANES) 1999–2018
Participants
18,186 individuals
Exposure
Combined estimated glucose disposal rate (eGDR) and a body shape index (ABSI) categories
Outcome
All-cause and cardiovascular-specific mortality
Methodological detailsNHANES 1999-2018, multivariable-adjusted Cox proportional hazards models, machine learning prediction models
  • NHANES 1999-2018
  • Multivariable-adjusted Cox proportional hazards models
  • Machine learning prediction models

Main finding

As reported in the abstract

All-cause and cardiovascular-specific mortality by combined eGDR and ABSI
Low-eGDR and High-ABSIHazard ratio (95% CI)
All-cause mortality; highest risk
2.79(2.30–3.38)
Cardiovascular-specific mortality; highest risk
4.53(2.96–6.92)
All-cause deaths during follow-up
2536
Cardiovascular-specific deaths during follow-up
790

Observational data: associations, not effects.

Further findings

OutcomeValues
Machine learning prediction (best: XGBoost)XGBoost AUC all-cause mortality 0.877 · AUC cardiovascular-specific mortality 0.850

Machine learning prediction (best: XGBoost)

XGBoost best performance among six machine learning algorithms

Original publication

Association of the estimated glucose disposal rate combined with a body shape index with all-cause and cardiovascular-specific mortality among individuals with cardiovascular-kidney-metabolic syndrome. Cardiovasc Diabetol. Published 12 March 2026. doi:10.1186/s12933-026-03127-x

Composed by AI from the published abstract and checked against it. How Briefs are made →

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