The interdependence of targets for continuous glucose monitoring outcomes in type 1 diabetes with automated insulin delivery
Authors' conclusion
We developed a methodology to establish interdependent CGM targets for therapies with CGM data outputs. In AID with the 780G system, a GMI <7% requires time in ranges close to consensus targets. Targets for GMI, TIR, TITR, TA180 and TA250 could be reduced to targets for GMI or TIR, whereas targets for time in hypoglycaemia are not inherently tied to GMI/TIR targets.
Study context
- Population
- Individuals with T1D using the 780G automated insulin delivery (AID) system (real-world data)
- Participants
- 41,692 vs 14,459
- Exposure
- Aged >15 years vs Aged ≤15 years
- Aged >15 yearsn = 41,692
- Aged ≤15 yearsn = 14,459
- Outcome
- Interdependent targets for TIR, TITR, TA180, TA250, TB70 and TB54 based on GMI benchmarks
Methodological detailsROC analysis, correlation, regression and principal component analysis
- ROC analysis
- Correlation, regression and principal component analysis
Main finding
As reported in the abstract
Targets required for GMI <6.5% (aged >15 years)
- TIR target
- >81%
- TITR target
- >58%
- TA180 target
- <15%
- TA250 target
- <1.9%
- Sensitivity, specificity and accuracy of these targets
- >90%
- Correlation of time in hypoglycaemia with glucose management indicator (GMI) (modest; poor sensitivity, specificity and accuracy)
- −0.21 to −0.43
- Two dimensions (GMI, TIR, TITR, TA180, TA250; TB70, TB54) explaining total variability
- 95%
- Variability in remaining CGM metrics explained by GMI (or TIR) and TB70
- >81%
Observational data: associations, not effects.
Further findings
Individuals aged ≤15 years
- Similar results to those aged >15 years
Original publication
The interdependence of targets for continuous glucose monitoring outcomes in type 1 diabetes with automated insulin delivery. Diabetes Obes Metab. Published 26 September 2024. doi:10.
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