The Association of Time-in-Range and Time-in-Tight-Range with Retinopathy Progression in the Virtual Diabetes Control and Complications Trial Continuous Glucose Monitoring Dataset
Authors' conclusion
The associations of TIR and TITR with retinopathy development or progression were similar to HbA1c in the virtual DCCT CGM dataset.
Study context
- Population
- Participants in the DCCT with a virtual continuous glucose monitoring (CGM) trace
- Participants
- 1,441 participants
- Comparison
- Time-in-range (TIR) vs time-in-tight-range (TITR) vs HbA1c as predictors of retinopathy development/progression
- Primary endpoint
- Development/progression of retinopathy
Methodological detailsvirtual CGM dataset, Discrete Cox proportional hazard models
- Virtual CGM dataset
- Discrete Cox proportional hazard models
Primary result
As reported in the abstract
Retinopathy development/progression, adjusted HR per 1.0 SD change
TIR, adjusted HR (95% CI) per 1.0 SD
2.67
2.33–3.06
TITR, adjusted HR (95% CI) per 1.0 SD
2.74
2.36–3.18
HbA1c, adjusted HR (95% CI) per 1.0 SD
2.37
2.13–2.65
Further findings
Predictive performance (Harrell's C-statistic)
- Survival models adjusted for TIR, TITR or HbA1c had similar predictive performance
Original publication
The Association of Time-in-Range and Time-in-Tight-Range with Retinopathy Progression in the Virtual Diabetes Control and Complications Trial Continuous Glucose Monitoring Dataset. Diabetes Technol Ther. Published 24 February 2025. doi:10.
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