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IDEA-FAST clinical study protocol: Identifying digital end-points of fatigue, sleep quality and daytime sleepiness in N = 2000

  • University of Kiel
  • Johnson & Johnson
  • University of Brescia
  • ASST Spedali Civili Brescia Hospital
  • Karolinska Institutet
  • Erasmus University Rotterdam
  • Newcastle University
  • Newcastle Upon Tyne Hospitals NHS Foundation Trust
  • George-Huntington-Institut GmbH
  • Sanofi
  • European Federation of Crohn's & Ulcerative Colitis Associations (EFCCA)
  • University of Glasgow
  • MediBioSense Ltd
  • Leiden University
  • Universidade de Lisboa
  • Centre for Epidemiology Versus Arthritis
  • Manchester University Hospitals NHS Foundation Trust
  • Manchester Academic Health Science Centre
  • European Clinical Research Infrastructure Network (ECRIN)
  • Johnson & Johnson Medical GmbH
  • Salford Royal Hospital
  • University of Manchester
  • University of Exeter
  • University of Limerick
  • Cambridge Cognition Ltd.
  • Beaumont Hospital
  • European Huntington's Association
  • University College Cork
  • University Hospital Schleswig-Holstein
  • University of Lübeck
  • Parkinson's UK
  • Madrid Parkinson Association
  • Imperial College London
  • Stavanger University Hospital
  • iXscient Ltd.

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Background Fatigue, impaired sleep quality and daytime sleepiness, common in neurodegenerative and immune-mediated diseases, are debilitating and have serious societal and economic implications. Currently, measurement of these symptoms largely relies on self-reported questionnaires, which are burdensome for patients and lack sensitivity, granularity and reliability. Methods Building on a preceding feasibility study and qualification advice of the European Medicines Agency, the Clinical Observational Study of the European project Identifying Digital Endpoints to Assess FAtigue, Sleep and acTivities of daily living in Neurodegenerative disorders and Immune-mediated inflammatory diseases (IDEA-FAST) investigates the relationship between digital and clinical parameters of the target concepts of fatigue, reduced sleep quality and daytime sleepiness. Results Between 2022 and 2025, 2000 people are being recruited at 24 European sites – 500 with Parkinson's disease, 500 with inflammatory bowel disease, 200 with each of the following diseases: Huntington's disease, rheumatoid arthritis, systemic lupus erythematosus, primary Sjögren's syndrome and 200 healthy volunteers. Participants are followed over a 24-week period with four visits, each including a 1-week assessment phase at home using CE-certified digital health (including active and passive) technologies. The latter collect information on physical activity, physiology, cognition as well as social interaction and behaviour as core dimensions of the target concepts. Conclusion This study will help to develop reliable, valid and efficient digital endpoints of fatigue, impaired sleep quality and daytime sleepiness for use in future clinical studies and trials.

Original languageEnglish
JournalDigital Health
Volume12
DOIs
Publication statusE-pub ahead of print - 31 Mar 2026
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by the Innovative Medicines Initiative (Grant No. 853981).

Keywords

  • Digital health technologies
  • Huntington's disease
  • immune-mediated disorders
  • inflammatory bowel disease
  • Parkinson's disease

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