Design and In Silico Evaluation of an Exercise Decision Support System Using Digital Twin Models
Authors' conclusion
The exDSS tool significantly improved glucose outcomes during and after exercise versus following clinical guidelines and no intervention providing motivation for clinical evaluation of the exDSS system.
Study context
- Population
- People with T1D; 30-minute exercise sessions (676 aerobic, 631 resistance)676 aerobic, 631 resistance sessions
- Participants
- 247 people
- Comparison
- exDSS recommendations vs clinical guidelines vs no intervention
- Outcome
- Mean TIR (70-180 mg/dL), aerobic exercise
- Follow-up
- During and after exercise
Methodological detailsdigital twin models, scenarios from a large, free-living study
- Digital twin models
- Scenarios from a large, free-living study
Main finding
As reported in the abstract
exDSS vs No intervention: P < 0.0001 · exDSS vs Clinical guidelines: P < 0.0001
Further findings
Mean
| Outcome | exDSS | Clinical guidelines | No intervention | P value |
|---|---|---|---|---|
| Mean TIR (70-180 mg/dL), resistance exerciseexDSS vs No intervention | 87.3% | 80.3% | 72.3% | P < 0.0001 |
| Mean TIR (70-180 mg/dL), resistance exerciseexDSS vs Clinical guidelines | P < 0.0001 |
Safety
Time in low glucose (<70 mg/dL), aerobic exercise — exDSS vs No intervention
P < 0.0001
Time in low glucose (<70 mg/dL), resistance exercise — exDSS vs No intervention
P < 0.0001
| Outcome | P value |
|---|---|
| Time in low glucose (<70 mg/dL), aerobic exerciseexDSS vs Clinical guidelines · comparable | P = N.S. |
| Time in low glucose (<70 mg/dL), resistance exerciseexDSS vs Clinical guidelines · comparable | P = N.S. |
Original publication
Design and In Silico Evaluation of an Exercise Decision Support System Using Digital Twin Models. J Diabetes Sci Technol. Published 23 February 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →