A New Index of Insulin Sensitivity from Glucose Sensor and Insulin Pump Data: In Silico and In Vivo Validation in Youths with Type 1 Diabetes
Authors' conclusion
SISP is suitable for estimating SI in both closed- and open-loop settings, provided that the subject wears a CGM sensor and a subcutaneous insulin pump.
Study context
- Population
- Virtual adults (UVa/Padova T1D Simulator) and youths with T1D; two consecutive meals (breakfast and lunch, at 7 and 11 am) with 70 g carbohydrate each
- Participants
- 100 vs 10
- Comparison
- SISP vs oral glucose minimal model sensitivity (SI)
- Simulatedn = 100
- Realn = 10
- Outcome
- SISP estimation precision and correlation with SIMM
Methodological detailsin silico and in vivo, simulated and real datasets, validation against gold standard SIMM
- In silico and in vivo
- Simulated and real datasets
- Validation against gold standard SIMM
Performance
As reported in the abstract
| Test or model | Value | Meals with good precision (median CV <20%) | R (SISP vs SIMM) |
|---|---|---|---|
| Real | 100% | 100% | 0.83 |
| Simulated | 91% | 91% | 0.82 |
Value
Real100%
Simulated91%
Meals with good precision (median CV <20%)
Real100%
Simulated91%
R (SISP vs SIMM)
Real0.83
Simulated0.82
- SISP and SIMM highly correlated, P < 0.001
- R = 0.82 and R = 0.83
Original publication
A New Index of Insulin Sensitivity from Glucose Sensor and Insulin Pump Data: In Silico and In Vivo Validation in Youths with Type 1 Diabetes. Diabetes Technol Ther. Published 17 February 2023. doi:10.
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