Linking Estimated Glucose Disposal Rate to Major Adverse Cardio-Cerebrovascular Events in Populations With and Without Diabetes: A Systematic Review and Meta-Analysis.

Background: Insulin resistance (IR) contributes significantly to major adverse cardio-cerebrovascular events (MACCE), with the estimated glucose disposal rate (eGDR) serving as a novel marker for assessing IR. This systematic review and meta-analysis investigate the association between eGDR and MACCE outcomes, aiming to clarify its predictive value across different diabetes statuses. Methods: We searched databases for studies examining the relationship between eGDR and MACCE, including myocardial infarction (MI), stroke, ischemic heart disease (IHD), cardiovascular disease (CVD), and all-cause mortality. We compared groups with the lowest versus highest eGDR. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using random effect models. Subgroup analyses assessed eGDR efficacy by diabetes status. Results: Our search identified 16 studies with 198 626 participants. The group with the lowest eGDR had a significantly higher risk of MACCE compared to the group with the highest eGDR (HR = 2.21, 95% CI 1.17-4.18). Additionally, the group with the lowest eGDR had notably worse outcomes for all-cause mortality, MI, stroke, CVD, and IHD with HRs of 2.03 (95% CI 1.05-3.90), 1.82 (95% CI 1.30-2.55), 2.82 (95% CI 1.66-4.69), 2.95 (95% CI 1.99-4.37), and 7.97 (95% CI 2.57-24.73), respectively. Subgroup analyses revealed consistent results for CVD in both populations with diabetes and non-diabetes status, for stroke in the population with non-diabetes status, and for IHD in the population with diabetes. Conclusions: Lower eGDR, indicating higher IR, is linked with a significantly increased risk of MACCE. This parameter could enhance risk stratification models for predicting MACCE. Further studies are needed to evaluate the clinical role of eGDR in managing cardio-cerebrovascular risk across subgroups.