The prognostic role of glycemic variability in predicting the risk of adverse cardiovascular events in patients with cardiovascular diseases: a meta-analysis.

ABSTRACT:

Background

Glycemic variability (GV) reflects glucose fluctuations, and increased GV is associated with adverse cardiovascular outcomes. We systematically evaluated the association between GV, measured by the mean amplitude of glycemic excursions (MAGE) and standard deviation (SD), and cardiovascular risk in patients with pre-existing cardiovascular disease (CVD).

Materials and methods

We searched PubMed, Embase, Scopus, Web of Science, and CENTRAL through May 2025 for studies on GV and cardiovascular outcomes in patients with established cardiovascular disease. Random-effects models with Knapp-Hartung adjustment were used to pool the risk ratios (RRs) and 95% confidence intervals (CIs). Subgroup, sensitivity, and meta-regression analyses were used to explore heterogeneity.

SUBMITTER: Darouei B 

PROVIDER: S-EPMC12751544 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature