Key result
Persistently low eGDR trajectories linked to ~82% higher incident CVD risk.
Why the study?
Estimated glucose disposal rate (eGDR) is associated with cardiovascular disease (CVD) risk, but whether longitudinal eGDR trajectory patterns convey prognostic information for incident CVD beyond cumulative eGDR exposure remained unclear.
Do longitudinal estimated glucose disposal rate (eGDR) trajectory patterns predict incident cardiovascular disease beyond cumulative average eGDR exposure in middle-aged and older adults without baseline CVD?
Cohort (n=4,823)
Yes
Do longitudinal estimated glucose disposal rate (eGDR) trajectory patterns predict incident cardiovascular disease beyond cumulative average eGDR exposure in middle-aged and older adults without baseline CVD?
Longitudinal trajectories of estimated glucose disposal rate (eGDR), particularly persistently low and declining patterns, independently predict incident cardiovascular disease risk beyond cumulative average eGDR exposure.
Answers are grounded in this paper and cite their sources.
eGDR trajectories may refine CVD risk prediction beyond averages; extends cumulative models but should not yet change practice.
Background Estimated glucose disposal rate (eGDR) is an accessible surrogate of insulin sensitivity and has been associated with cardiovascular disease (CVD) risk. However, whether longitudinal eGDR trajectory patterns convey prognostic information beyond cumulative eGDR exposure remains unclear. We aimed to characterize distinct eGDR trajectories and evaluate their associations with incident CVD in two prospective cohorts. Methods We included 4,823 CVD-free adults aged 45 years or older from the Health and Retirement Study (HRS, n=3,258) and the English Longitudinal Study of Ageing (ELSA, n=1,565). Latent class mixed models identified four eGDR trajectory classes across three waves. Associations with incident CVD were examined using multivariable Cox models. We further fitted joint models including both trajectory class and cumulative average eGDR to assess their independent contributions. Results: Compared with the persistently high trajectory, the persistently low and declining trajectories were associated with higher CVD risk in both cohorts. In joint models, whereas trajectory class showed residual prognostic signal, particularly in HRS, with directionally consistent but less precise estimates in ELSA. In HRS, adding trajectory class improved model fit beyond cumulative average eGDR alone, whereas adding cumulative average eGDR to the trajectory model did not. Direct pairwise comparisons showed that the declining-then-rising trajectory was associated with lower risk than the declining trajectory in HRS, with directionally similar but imprecise estimates in ELSA. Conclusions: Longitudinal eGDR trajectory patterns may convey prognostic information not fully captured by cumulative average eGDR alone. These findings suggest that the temporal pattern of insulin sensitivity may be clinically relevant in addition to cumulative exposure, while the potentially favorable profile of recovery trajectories warrants cautious interpretation and external replication.
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Pan et al. (2026) conducted a cohort in Cardiovascular disease risk in CVD-free middle-aged and older adults (n=4,823). Persistently low estimated glucose disposal rate (eGDR) trajectory (Class 2) vs. Persistently high eGDR trajectory (Class 1) was evaluated on Incident cardiovascular disease (new-onset heart disease or stroke) in the HRS cohort (HR 1.82, 95% CI 1.36-2.44, p=<0.001). Persistently low eGDR trajectories increased incident CVD risk compared to persistently high trajectories in both HRS (HR 1.82, 95% CI 1.36-2.44) and ELSA (HR 1.71, 95% CI 1.24-2.36).
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