Glucose Color Index: Development and Validation of a Novel Measure of the Shape of Glycemic Variability.

ABSTRACT:

Background

Standard continuous glucose monitoring (CGM) metrics: mean glucose, standard deviation, coefficient of variation, and time in range, fail to capture the shape of variability in the CGM time series. This information could facilitate improved diabetes management.

Methods

We analyzed CGM data from 141 adults with type 2 diabetes in the Hyperglycemic Profiles in Obstructive Sleep Apnea (HYPNOS) trial. Participants in HYPNOS wore CGM sensors for up to two weeks at two time points, three months apart. We calculated the log-periodogram for each time period, summarizing using disjoint linear models. These summaries were combined into a single value, termed the Glucose Color Index (GCI), using canonical correlation analysis. We compared the between-wear correlation of GCI

SUBMITTER: Sartini J 

PROVIDER: S-EPMC11571314 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature