An Assessment of Clinical Continuous Glucose Monitoring Targets for Older and High-Risk People Living with Type 1 Diabetes
Authors' conclusion
Changes in TIR are not associated with changes in TBR.
Study context
- Population
- Adults with T1D using manual insulin dosing at baseline (61 on MDI, 59 on non-CGM augmented pumps); 50% randomized to automated insulin dosing (AID); 3 weeks masked continuous glucose monitoring (CGM) at baseline and 26 weeks
- Participants
- 120 adults
- Primary endpoint
- Correlations between CGM TIR (70-180 mg/dL), TBR (<70 mg/dL), TAR (>180 mg/dL) and glucose CV
- Follow-up
- Baseline and 26 weeks
Methodological detailsmasked CGM
- Masked CGM
Primary result
As reported in the abstract
Correlations of CGM metrics · baseline
Time in range (TIR) vs time above range (TAR) (strong)
r = −0.966
P < 0.0001
TIR vs time below range (TBR) (weak)
r = 0.363
P < 0.0001
TIR vs coefficient of variation (CV) (weak)
r = 0.037
P = 0.687
CV vs TBR (moderate)
r = 0.726
P < 0.0001
Further findings
Correlations of changes in CGM metrics · over 26 weeks
- ΔTIR vs ΔTAR (strong)
- r = −0.945; P < 0.001
- ΔTIR vs ΔTBR (weak)
- r = 0.025; P = 0.802
- ΔCV vs ΔTAR (not significant)
- r = −0.064; P = 0.526
- ΔCV vs ΔTBR
- r = 0.770; P = <0.001
Associations in participants aged >60 years (n = 15) vs younger · baseline
- Associations were similar for participants aged >60 years vs younger subjects
Original publication
An Assessment of Clinical Continuous Glucose Monitoring Targets for Older and High-Risk People Living with Type 1 Diabetes. Diabetes Technol Ther. Published 13 December 2022. doi:10.
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