Continuous Glucose Monitoring Metrics Predict All-Cause Mortality in Diabetes: A Real-world Long-term Study.

ABSTRACT:

Objective

Investigate the association between continuous glucose monitoring (CGM)-derived glucose metrics and all-cause mortality in patients with type 1 or type 2 diabetes (T1D or T2D).

Research design and methods

We analyzed data from 2,752 adults (≥21 years old) with diabetes (65% T2D) from the Veterans Affairs Healthcare System who received Dexcom CGM between 2015 and 2020. All participants had ≥10 days of CGM data over landmark (LM) periods (14 days, 3 months, and 6 months) merged with electronic health records. All-cause mortality was assessed over 5 years from CGM initiation. Cox models evaluated associations between mortality and CGM metrics: mean glucose (MG, mg/dL), time in range (TIR, %), time above range (TAR, %), coefficient of variation (CV), and glycemic risk

SUBMITTER: Okuno T 

PROVIDER: S-EPMC12451845 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature