IDEA-FAST is a 24-week, multi-center observational study recruiting 2,000 participants (including 500 with Parkinson's disease) to develop and validate CE-certified digital endpoints for fatigue, sleep quality, and daytime sleepiness using active and passive wearable and digital measures.

By creating validated, sensitive digital outcome measures for fatigue and sleep, the study can improve measurement precision and remote monitoring in PD clinical trials, facilitating better-powered therapeutic evaluations and faster detection of treatment effects.

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.