Using wearable devices and AI to predict COPD flare-ups
Official title: Early Prediction of Acute Exacerbations of COPD Using Wearable and Portable Remote Monitoring Technology With AI/ML Empowered Platforms: A Prospective Clinical Study
Run by McGill University Health Centre/Research Institute of the McGill University Health Centre · NCT06802003 · Data updated 2026-11-12
This study is testing if wearable devices and daily symptom reports can help predict flare-ups in people with COPD using artificial intelligence.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 40 Years and up |
| Sex | All |
| Enrollment | 50 (estimated) |
| Sponsor | McGill University Health Centre/Research Institute of the McGill University Health Centre Academic / other |
| Locations | 1 site (Montreal, Quebec) |
| Status | Recruiting |
| Started | May 22, 2025 |
| Main results expected | May 31, 2026 |
| Study ends | August 31, 2026 |
| Registry record updated | May 28, 2025 |
| Trial ID | NCT06802003 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults aged 40 and older with a history of COPD exacerbations and a significant smoking history.
✕Probably not a fit
Patients without a COPD diagnosis or those unable to operate the required devices will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to gather real-time physiological data from patients with chronic obstructive pulmonary disease (COPD) using wearable devices and handheld oscillometers. Participants will report their symptoms daily, and the collected data will be utilized to develop and validate artificial intelligence and machine learning models for predicting acute exacerbations of COPD. The study also seeks to establish a new classification system for the severity of these exacerbations based on the relationships between physiological measurements and self-reported symptoms.
Why it matters
Potential benefit: If successful, this study could enable early prediction of COPD exacerbations, potentially improving patient management and outcomes.
How similar studies have gone: Other studies have shown promise in using wearable technology and AI for monitoring chronic conditions, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Males/females, age ≥ 40, former/current smokers with ≥10 pack-year smoking history * FEV1/FVC \< 0.7, with 80% \< FEV1 ≤50% (moderate, 'GOLD 2') 50% \< FEV1 ≤ 30% (severe, 'GOLD 3') or FEV1 \< 30% (very severe, 'GOLD 4') COPD * History of 2 or more exacerbations in the preceding 12 months requiring corticosteroids, antibiotics, or both * Ability to provide informed consent * Ability to access internet at least once daily Exclusion Criteria: * No existing COPD diagnosis * Any medical/cognitive/functional condition which renders inability to operate research equipment/devices, and/or to complete daily symptom response
Where it's running
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McGill University Health Centre
Montreal, Quebec, Canada Recruiting
Study contacts
- Study coordinator: Bryan A. Ross, MD, MSc (Physiol), MSc (Epi)
- Email: bryan.ross@mcgill.ca
- Phone: (514) 843-1465
Similar studies
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.