Type 2 & other diabetes

Estimated glucose disposal rate outperforms inflammation surrogate markers in predicting cardiometabolic multimorbidity among middle-aged and older adults

Cardiovasc DiabetolPublished Prospective cohort study

Main finding · Incident cardiometabolic multimorbidityResult — go to the resultHazard ratio 2.07 95% CI 1.80–2.38

Authors' conclusion

Among middle-aged and older adults, eGDR is significantly associated with incident cardiometabolic multimorbidity regardless of inflammation status. Low eGDR demonstrates superior discriminative ability compared to hs-CRP. These findings suggest that eGDR may serve as a more comprehensive biomarker for cardiometabolic risk stratification by capturing insulin resistance and metabolic dysfunction.

Study context

Population
Participants aged ≥45 years from China Health and Retirement Longitudinal Study (CHARLS) with complete baseline data
Participants
7,589 participants
Exposure
Lowest vs highest estimated glucose disposal rate (eGDR) quartile; eGDR vs hs-CRP for prediction
Outcome
Incident cardiometabolic multimorbidity (co-occurrence of ≥2 of diabetes, heart disease, stroke)
Follow-up
9-year follow-up

Main finding

Incident cardiometabolic multimorbidity

Hazard ratio

2.07

95% CI 1.80–2.38

Lowest eGDR quartilevs Highest eGDR quartile
HR 2.07 (95% CI 1.80–2.38)

As reported in the abstract

Participants developing cardiometabolic multimorbidity
2,263

Observational data: associations, not effects.

Further findings

Joint association: low eGDR by inflammation status

Low eGDR with low inflammation, HR
1.52 (95% CI 1.33-1.74)
Low eGDR with high inflammation, HR
1.80 (95% CI 1.58-2.04)

Concordance index (C-index) of basic model plus marker

C-index with eGDR
0.676
C-index with hs-CRP
0.643
eGDR vs hs-CRP C-index
P < 0.001

Original publication

Estimated glucose disposal rate outperforms inflammation surrogate markers in predicting cardiometabolic multimorbidity among middle-aged and older adults. Cardiovasc Diabetol. Published 11 June 2026. doi:10.1186/s12933-026-03249-2

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

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