ORIGINAL RESEARCH article

Front. Digit. Health

Sec. Health Technology Implementation

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1596188

This article is part of the Research TopicDigital Medicine and Artificial IntelligenceView all 3 articles

"One-Year Evaluation of Automated Insulin Delivery Systems in Adults with Type 1 Diabetes."

Provisionally accepted
Pedro  PujantePedro Pujante1,2*Ana  Victoria GarcíaAna Victoria García2Elsa  Villa-FernándezElsa Villa-Fernández2,3Miguel  García-VillarinoMiguel García-Villarino2,3Tomás  González-VidalTomás González-Vidal1,2Lucía  Díaz NayaLucía Díaz Naya2,4Gala  Gutiérrez BueyGala Gutiérrez Buey2,4Brenda  VeiguelaBrenda Veiguela2,4Diego  Rivas-OteroDiego Rivas-Otero1,2Edelmiro Luis  Menendez TorreEdelmiro Luis Menendez Torre1,2,3,5Elias  DelgadoElias Delgado1,2,3,5*Jessica  AresJessica Ares1,2,3Carmen  LambertCarmen Lambert2*
  • 1Central University Hospital of Asturias, Oviedo, Spain
  • 2Health Research Institute of Asturias (ISPA), Oviedo, Spain
  • 3University of Oviedo, Oviedo, Asturias, Spain
  • 4University Hospital of Cabueñes, Gijón, Spain
  • 5Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Madrid Community, Spain

The final, formatted version of the article will be published soon.

Introduction: This study evaluates the effectiveness of four commercially available automated insulin delivery (AID) systems in routine clinical practice for type 1 diabetes management and compares their first-year outcomes.Materials and Methods: This retrospective study (October 2020 - October 2023) included glucometric data from type 1 diabetes patients collected from the Asturias Automatic Insulin Devices Registry. People with type 1 diabetes using four different AID systems (Minimed™780G (MM780G), Accu-Chek® Insight-Diabeloop (DBLG), Tandem-Control-IQ, and Ypsopump Cambridge HCL-app (Cam-APS)) were included in the study. Primary outcomes were glycaemic control after one year. Secondary outcomes compared the results between the four systems.Results: 174 patients (60: MM780G, 45: DBLG, 30: Control-IQ, 39: Cam-APS), aged 18-73, predominantly women, were enrolled. At baseline, glycemic control, measured by the achievement of the international consensus targets [TBR (Time Below Range)<4%; TIR(Time in Range)>70% and TAR (Time Above Range) <25%] was only met by 9.72% of participants, while after one year of an AID system use, it improved to more than 52%. When comparing between systems, TIR improved significantly after 1 year in all systems. However, Control-IQ did not show improvement in mean glucose and Glucose management index (GMI) and only users of DBLG showed improvement in coefficient of variation (CV). MM780G users achieved the best results after 12 months in mean glucose, TIR and GMI. However, their baseline situation was also better than that of the other groups.Conclusion: This study confirms that, after 12 months of routine clinical use, the use of commercially available automated insulin delivery (AID) systems significantly improves glycemic control in individuals with type 1 diabetes. However, the degree of improvement varies depending on the specific system used.These findings underscore the importance of selecting and optimizing AID systems individually to maximize clinical benefits in type 1 diabetes management.

Keywords: automated insulin delivery, type 1 diabetes, hybrid close loop, diabetes technology, Insulin

Received: 19 Mar 2025; Accepted: 17 Jun 2025.

Copyright: © 2025 Pujante, García, Villa-Fernández, García-Villarino, González-Vidal, Díaz Naya, Buey, Veiguela, Rivas-Otero, Menendez Torre, Delgado, Ares and Lambert. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Pedro Pujante, Central University Hospital of Asturias, Oviedo, 33011, Spain
Elias Delgado, Central University Hospital of Asturias, Oviedo, 33011, Spain
Carmen Lambert, Health Research Institute of Asturias (ISPA), Oviedo, Spain

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