Heterogeneity of continuous glucose monitoring features and their clinical associations in a type 2 diabetes population
Authors' conclusion
In examining the characteristics of different features extracted from CGM data in a large population of individuals with T2D, we found that the features were heterogeneously associated with different clinical comorbidities related to diabetes. This work motivates further research to investigate the relationship between CGM features and health outcomes in T2D to enable precision medicine.
Study context
- Population
- Individuals with T2D with continuous glucose monitors (CGM) and electronic health record data; 25 daily CGM features extracted over a 30-day periodfinal analysis
- Participants
- 6,533 individuals
- Outcome
- CGM features and their association with clinical covariates
- Follow-up
- 30-day period
Main finding
As reported in the abstract
30-day period
- Four distinct clusters of CGM features emerged
- CGM features had heterogeneous discriminatory power with clinical covariates, incl. laboratory values and claims for diabetic complications
- Glycemic variability features (e.g. CV) showed markedly lower p-values than mean glucose in many association tests for diabetic complications
Observational data: associations, not effects.
Original publication
Heterogeneity of continuous glucose monitoring features and their clinical associations in a type 2 diabetes population. Diabetes Obes Metab. Published 19 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →