DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks-a prospective observational study using digital markers and artificial intelligence-study protocol.

Journal: BMJ open respiratory research
PMID: 38777583

Abstract

INTRODUCTION: Asthma attacks are a leading cause of morbidity and mortality but are preventable in most if detected and treated promptly. However, the changes that occur physiologically and behaviourally in the days and weeks preceding an attack are not always recognised, highlighting a potential role for technology. The aim of this study 'DIGIPREDICT' is to identify early digital markers of asthma attacks using sensors embedded in smart devices including watches and inhalers, and leverage health and environmental datasets and artificial intelligence, to develop a risk prediction model to provide an early, personalised warning of asthma attacks.

Authors

  • Amy Hai Yan Chan
    School of Pharmacy, The University of Auckland Faculty of Medical and Health Sciences, Auckland, Region, New Zealand a.chan@auckland.ac.nz.
  • Braden Te Ao
    School of Population Health, University of Auckland, Auckland, New Zealand.
  • Christina Baggott
    Department of Respiratory Medicine and Respiratory research unit, Waikato Hospital, Hamilton, New Zealand.
  • Alana Cavadino
    School of Population Health, University of Auckland, Auckland, New Zealand.
  • Amber A Eikholt
    University Medical Centre Groningen, Groningen Research Institute for Asthma and COPD, Groningen, Netherlands.
  • Matire Harwood
    School of Population Health, University of Auckland, Auckland, New Zealand.
  • Joanna Hikaka
    Te Kupenga Hauora Māori, University of Auckland, Auckland, New Zealand.
  • Dianna Gibbs
    Pinnacle Midlands Health Network, Hamilton, New Zealand.
  • Mariana Hudson
    School of Pharmacy, The University of Auckland Faculty of Medical and Health Sciences, Auckland, Region, New Zealand.
  • Farhaan Mirza
  • Muhammed Asif Naeem
    Department of IT and Software Engineering, Auckland University of Technology, Auckland, New Zealand.
  • Ruth Semprini
    Medical Research Institute of New Zealand, Wellington, New Zealand.
  • Catherina L Chang
    Department of Respiratory Medicine and Respiratory research unit, Waikato Hospital, Hamilton, New Zealand.
  • Kevin C H Tsang
    Asthma UK Center for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
  • Syed Ahmar Shah
    Asthma UK Center for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
  • Aron Jeremiah
    Department of Electrical, Computer and Software Engineering, University of Auckland, Auckland, New Zealand.
  • Binu Nisal Abeysinghe
    Department of Electrical, Computer and Software Engineering, University of Auckland, Auckland, New Zealand.
  • Rajshri Roy
    Department of Nutrition and Dietetics, University of Auckland, Auckland, New Zealand.
  • Clare Wall
    Department of Nutrition and Dietetics, University of Auckland, Auckland, New Zealand.
  • Lisa Wood
    Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.
  • Stuart Dalziel
    Children's Emergency Department, Starship Children's Hospital, Auckland, New Zealand.
  • Hilary Pinnock
    Usher Institute, The University of Edinburgh, Edinburgh, UK.
  • Job F M van Boven
    Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.
  • Partha Roop
    Department of Electrical, Computer and Software Engineering, Faculty of Engineering, University of Auckland, Auckland 1010, New Zealand.
  • Jeff Harrison
    School of Pharmacy, The University of Auckland Faculty of Medical and Health Sciences, Auckland, Region, New Zealand.

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