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Glucometrics and device satisfaction in children and adolescents with type 1 diabetes using different treatment modalities: A multicenter real-world observational study

  • Valentino Cherubini
  • , Andrea Fargalli
  • , Claudia Arnaldi
  • , Marta Bassi
  • , Riccardo Bonfanti
  • , Giulia Patrizia Bracciolini
  • , Francesca Cardella
  • , Sara Dal Bo
  • , Maurizio Delvecchio
  • , Francesca Di Candia
  • , Roberto Franceschi
  • , Sabrina Maria Galassi
  • , Francesco Gallo
  • , Vanna Graziani
  • , Antonio Iannilli
  • , Chiara Mameli
  • , Marco Marigliano
  • , Nicola Minuto
  • , Sara Monti
  • , Enza Mozzillo
  • Filomena Pascarella, Barbara Predieri, Ivana Rabbone, Rosalia Roppolo, Riccardo Schiaffini, Valentina Tiberi, Davide Tinti, Sonia Toni, Andrea Scaramuzza, Benedetta Vestrucci, Rosaria Gesuita

Research output: Contribution to journalArticlepeer-review

Abstract

Aims: To analyze metabolic outcomes, diabetes impact and device satisfaction in children and adolescents with type 1 diabetes in Italy who used different treatment modalities for diabetes care in a real-life context. Methods: In this multicenter, nationwide, cross-sectional study, 1464 participants were enrolled at a routine visit. The following treatment modalities were considered MDI + SMBG; MDI + CGM; Sensor Augmented Pump Therapy; predictive management of low glucose; Hybrid Closed Loop (HCL); Advanced Hybrid Closed Loop (AHCL). Health related quality of life was evaluated by the Italian version of the Diabetes Impact and Device Satisfaction Scale (DIDS) questionnaire. Results: Patients treated with AID systems were more likely to have HbA1c ≤ 6.5 %, higher percentage of time with glucose levels between 70 and 180 mg/dL, lower percentage of time with glucose levels above 180 mg/dL, higher device satisfaction, and reduced impact of diabetes. All the therapeutic modalities with respect to MDI + CGM, except for MDI + SMBG, contributed to increase the device satisfaction. HCL and AHCL respect to MDI + CGM were associated with lower diabetes impact. Conclusion: Real-life use of automated insulin delivery systems is associated with reduced type 1 diabetes impact, increased device satisfaction, and achievement of glycemic goals.

Original languageEnglish
Article number111621
JournalDiabetes Research and Clinical Practice
Volume210
DOIs
Publication statusPublished - Apr 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Children and adolescents
  • DIDS
  • Diabetes technology
  • Health related quality of life
  • Treatment modalities
  • Type 1 diabetes

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