Clinically Similar Clusters of Daily Continuous Glucose Monitoring Profiles: Tracking the Progression of Glycemic Control Over Time
Authors' conclusion
Daily CGM profiles can be classified into one of 32 prefixed CSCs, which enables a host of applications, for example, tabulated data interpretation and algorithmic approaches to treatment, database indexing, pattern recognition, and tracking disease progression.
Study context
- Population
- Daily continuous glucose monitoring (CGM) profiles in health, and T1D and T2D on different treatments204,710 daily CGM profiles
- Outcome
- Clinically similar clusters (CSCs) of daily CGM profiles
Methodological detailstraining, validation and testing sets, clinically similar clusters (CSCs) defined on 23,916 profiles (Training set), finalised on 37,758 profiles (Validation set), robustness tested on 143,036 profiles (Testing set)
- Training, validation and testing sets
- CSCs defined on 23,916 profiles (Training set), finalised on 37,758 profiles (Validation set), robustness tested on 143,036 profiles (Testing set)
Performance
As reported in the abstract
Final set of CSCs
32 clusters
Any daily CGM profile classifiable to a single CSC, approximating common glycemic metrics (regression with 0 intercept) for all Time in Range (TIR) and several other metrics: R-squares
≥0.83
Correlation
≥0.91
Original publication
Clinically Similar Clusters of Daily Continuous Glucose Monitoring Profiles: Tracking the Progression of Glycemic Control Over Time. Diabetes Technol Ther. Published 31 July 2023. doi:10.
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