Identification of clinically meaningful automatically detected postprandial glucose excursions in individuals with type 1 diabetes using personal continuous glucose monitoring
Authors' conclusion
The frequency of GRID-excursions with very high postprandial peaks is a simple, reliable CGM-derived marker to guide targeted interventions in adults with type 1 diabetes.
Study context
- Population
- Adults with T1D using continuous glucose monitoring (CGM) for ≥90 days through the Korean National Home Care Pilot Program, Samsung Medical Center, April 2019–July 2024
- Participants
- 287 adults
- Outcome
- Association of GRID-excursion characteristics (peak glucose ≥7.8, ≥10.0, ≥13.9 mmol/L; time-to-peak) with TIR
Methodological detailscross-sectional assessment with longitudinal validation
- Cross-sectional assessment with longitudinal validation
Main finding
As reported in the abstract
- Higher frequency of excursions with very high peaks (≥13.9 mmol/L) showed the strongest inverse association with time in range (TIR), regardless of time-to-peak
- More frequent excursions with longer time-to-peak were also linked to lower TIR
Observational data: associations, not effects.
Further findings
>5 % TIR improvement after CGM education (longitudinal)
- Initially four or more high-peak excursions: significantly greater odds of achieving >5 % TIR improvement, independent of baseline HbA1c
Original publication
Identification of clinically meaningful automatically detected postprandial glucose excursions in individuals with type 1 diabetes using personal continuous glucose monitoring. Diabetes Res Clin Pract. Published 19 October 2025. doi:10.
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