A digital twin-enhanced decision support system improves time-in-range in type 1 diabetes: a randomized clinical trial

Most individuals with type 1 diabetes (T1D) worldwide continue to be managed with multiple daily injections or sensor-augmented pumps. Decision-support systems (DSSs) have emerged as cost-effective tools to enhance treatment adherence and glucose control. We conducted a randomized, open-label, parallel-group study to evaluate STUDIA, a DSS incorporating a digital twin-enabled simulation-assisted bolus calculator. Twenty-eight participants with T1D used either the simulation-assisted calculator or traditional carbohydrate counting for prandial insulin dosing, with glucose monitored using Freestyle Libre. After four weeks, the group using the simulation-assisted calculator showed a 7% increase in time in the target glucose range (70-180 mg/dL) compared to the control (p < 0.001), along with a lower hypoglycemia incidence rate (RR 0.31, p = 0.022). Model performance yielded a mean absolute percentage error at 60 min of 19.2 ± 6.7%, increasing at longer horizons, with most discrepancies between simulation and sensor falling into no-risk or slight-risk zones. These findings support the safety, feasibility, and potential clinical utility of the STUDIA system in people with T1D.

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Publication Details

Journal
Scientific Reports
Published
2025-11-13
DOI
https://doi.org/10.1038/s41598-025-23165-x
Citations
1
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
1.29
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article

A digital twin-enhanced decision support system improves time-in-range in type 1 diabetes: a randomized clinical trial

Hernán Álvarez, Alex Ramírez Rincón, John Jairo Zuleta Tobón, Laura Lema-Pérez et al.
1 citations
Scientific Reports
Diabetes Management and Research
1.29
article

A digital twin-enhanced decision support system improves time-in-range in type 1 diabetes: a randomized clinical trial

Hernán Álvarez, Alex Ramírez Rincón, John Jairo Zuleta Tobón, Laura Lema-Pérez, Carlos E. Builes‐Montaño, José Garcia‐Tirado
article en
1 citations

Abstract

Most individuals with type 1 diabetes (T1D) worldwide continue to be managed with multiple daily injections or sensor-augmented pumps. Decision-support systems (DSSs) have emerged as cost-effective tools to enhance treatment adherence and glucose control. We conducted a randomized, open-label, parallel-group study to evaluate STUDIA, a DSS incorporating a digital twin-enabled simulation-assisted bolus calculator. Twenty-eight participants with T1D used either the simulation-assisted calculator or traditional carbohydrate counting for prandial insulin dosing, with glucose monitored using Freestyle Libre. After four weeks, the group using the simulation-assisted calculator showed a 7% increase in time in the target glucose range (70-180 mg/dL) compared to the control (p < 0.001), along with a lower hypoglycemia incidence rate (RR 0.31, p = 0.022). Model performance yielded a mean absolute percentage error at 60 min of 19.2 ± 6.7%, increasing at longer horizons, with most discrepancies between simulation and sensor falling into no-risk or slight-risk zones. These findings support the safety, feasibility, and potential clinical utility of the STUDIA system in people with T1D.

Scientific ReportsVol. 15(1)
Universidad Pontificia Bolivariana (CO), Norwegian University of Science and Technology (NO), University Hospital of Bern (CH), Universidad de Antioquia (CO), Universidad Nacional de Colombia (CO), Hospital Pablo Tobon Uribe (CO), Universidad de Medellín (CO)
Openalex Percentile: Top 14%
Diabetes Management and Research
1.29
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