Is It Time to Move Beyond TIR to Time in Tight Range (TITR)? Real-World Data from Over 20,000 Users of Continuous Glucose Monitoring in Patients with Type 1 and Type 2 Diabetes
Authors' conclusion
The data detail how CV affects the AG relationship with TIR/TITR, which has implications for CGM interpretation.
Study context
- Population
- Continuous glucose monitoring (CGM) users with T1D or T2D
- Participants
- 22,006 users
- Exposure
- T1D vs T2D on multiple daily injections (MDI) or pumps vs T2D on basal insulin vs T2D not on insulin
- Outcome
- Relationship between average glucose (AG) and TIR/TITR
Main finding
As reported in the abstract
T2D groups, regardless of treatment type, had the highest TIR and TITR, with lowest coefficient of variation (CV)
23-30%
T1D had the lowest TIR and TITR, with the highest CVs
36-38%
Observational data: associations, not effects.
Original publication
Is It Time to Move Beyond TIR to TITR? Real-World Data from Over 20,000 Users of Continuous Glucose Monitoring in Patients with Type 1 and Type 2 Diabetes. Diabetes Technol Ther. Published 1 February 2024. doi:10.
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