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Associations Between Hypoglycemia Awareness Status and Symptoms of Hypoglycemia Among Adults with Type 1 or Insulin-Treated Type 2 Diabetes Using the Hypo-METRICS Smartphone Application

  • Gilberte Martine-Edith*
  • , Natalie Zaremba
  • , Patrick Divilly
  • , Uffe Søholm
  • , Melanie Broadley
  • , Petra Martina Baumann
  • , Zeinab Mahmoudi
  • , Mikel Gomes
  • , Namam Ali
  • , Evertine J. Abbink
  • , Bastiaan de Galan
  • , Julie Brøsen
  • , Ulrik Pedersen-Bjergaard
  • , Allan A. Vaag
  • , Rory J. McCrimmon
  • , Eric Renard
  • , Simon Heller
  • , Mark Evans
  • , Monika Cigler
  • , Julia K. Mader
  • Stephanie A. Amiel, Jane Speight, Frans Pouwer, Hypo-RESOLVE Consortium
*Corresponding author for this work
  • King's College London
  • University College Dublin
  • Deakin University
  • University of Southern Denmark
  • Medical University of Graz
  • Novo Nordisk Foundation
  • Radboud University Nijmegen
  • Maastricht University Medical Center and Cardiovascular Research Institute Maastricht (CARIM)
  • Maastricht University
  • University of Copenhagen
  • Steno Diabetes Center
  • Clinical Genetics, Ninewells Hospital & Medical School, Dundee, UK
  • Centre Hospitalier Universitaire de Montpellier
  • Université de Montpellier
  • University of Sheffield, School of Medicine and Biomedical Sciences
  • University of Cambridge
  • University of Leicester

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Introduction: This study examined associations between hypoglycemia awareness status and hypoglycemia symptoms reported in real-time using the novel Hypoglycaemia—MEasurement, ThResholds and ImpaCtS (Hypo-METRICS) smartphone application (app) among adults with insulin-treated type 1 (T1D) or type 2 diabetes (T2D). Methods: Adults who experienced at least one hypoglycemic episode in the previous 3 months were recruited to the Hypo-METRICS study. They prospectively reported hypoglycemia episodes using the app for 10 weeks. Any of eight hypoglycemia symptoms were considered present if intensity was rated between “A little bit” to “Very much” and absent if rated “Not at all.” Associations between hypoglycemia awareness (as defined by Gold score) and hypoglycemia symptoms were modeled using mixed-effects binary logistic regression, adjusting for glucose monitoring method and diabetes duration. Results: Of 531 participants (48% T1D, 52% T2D), 45% were women, 91% white, and 59% used Flash or continuous glucose monitoring. Impaired awareness of hypoglycemia (IAH) was associated with lower odds of reporting autonomic symptoms than normal awareness of hypoglycemia (NAH) (T1D odds ratio [OR] 0.43 [95% confidence interval {CI} 0.25-0.73], P = 0.002); T2D OR 0.51 [95% CI 0.26-0.99], P = 0.048), with no differences in neuroglycopenic symptoms. In T1D, relative to NAH, IAH was associated with higher odds of reporting autonomic symptoms at a glucose concentration <54 than >70 mg/dL (OR 2.18 [95% CI 1.21-3.94], P = 0.010). Conclusion: The Hypo-METRICS app is sensitive to differences in hypoglycemia symptoms according to hypoglycemia awareness in both diabetes types. Given its high ecological validity and low recall bias, the app may be a useful tool in research and clinical settings. The clinical trial registration number is NCT04304963.
Original languageEnglish
Pages (from-to)566-574
Number of pages9
JournalDiabetes Technology and Therapeutics
Volume26
Issue number8
Early online date2024
DOIs
Publication statusPublished - 1 Aug 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

  • Hypo-METRICS
  • Hypoglycemia awareness
  • Hypoglycemia symptoms

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