Clinically relevant stratification of patients with type 2 diabetes by using continuous glucose monitoring data
Main finding · AlbuminuriaResult — go to the resultOdds ratio 1.24 95% CI 1.03–1.39Authors' conclusion
Subtyping patients with T2DM using CGM data may help identify high-risk patients for microvascular complications and provide insights into the underlying pathophysiology. This method may help refine clinically meaningful stratification of patients with T2DM and inform personalized diabetes care.
Study context
- Population
- Patients with T2D who wore blinded continuous glucose monitoring (CGM) at an academic medical centre; validation in an independent population of 773 patients with T2D773 in validation set
- Participants
- 3,119 patients
- Exposure
- CGM-derived T2D subgroups
- Outcome
- Albuminuria
Methodological detailssingle academic medical centre, blinded CGM, k-means clustering, independent validation population
- Single academic medical centre
- Blinded CGM
- K-means clustering
- Independent validation population
Main finding
As reported in the abstract
Odds ratio
1.24
95% CI 1.03–1.39
Group Cvs Group D
OR 1.24 (95% CI 1.03–1.39)
Observational data: associations, not effects.
Further findings
Clinical phenotypes incl. β-cell function and insulin resistance indices
- Subgroups differed significantly
- all p < .001
Original publication
Clinically relevant stratification of patients with type 2 diabetes by using continuous glucose monitoring data. Diabetes Obes Metab. Published 26 February 2024. doi:10. 1111/ dom. 15512
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