Actively Recruiting
Predicting Acute Exacerbations of COPD Using Wearable Devices and Remote Monitoring Technology With AI/ML Models
Led by McGill University Health Centre/Research Institute of the McGill University Health Centre · Updated on 2025-05-28
50
Participants Needed
1
Research Sites
66 weeks
Total Duration
On this page
Sponsors
M
McGill University Health Centre/Research Institute of the McGill University Health Centre
Lead Sponsor
R
Restech Srl
Collaborating Sponsor
AI-Summary
What this Trial Is About
This study is aimed to collect real-time physiological data using two wearable devices (a biometric ring and a biometric wristband), daily lung mechanical measurements by a handheld oscillometer, and participant-reported symptoms in patients with COPD remotely from their home environment. The data will be used to train and validate artificial intelligence and machine learning (AI/ML) models to predict COPD exacerbations in advance of their actual occurrence. The data will also be used to test the new severity classification system for exacerbations of COPD, as well as to determine important relationships between physiological measurements from the wearable devices, the handheld oscillometer, the self-reported symptoms, and the tests performed at the baseline visit.
CONDITIONS
Official Title
Predicting Acute Exacerbations of COPD Using Wearable Devices and Remote Monitoring Technology With AI/ML Models
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Males or females aged 40 years or older who are current or former smokers with at least 10 pack-years smoking history
- Diagnosed COPD with FEV1/FVC less than 0.7 and moderate to very severe airflow limitation (FEV1 between 80% and 30%, 50% and 30%, or less than 30%)
- History of two or more COPD exacerbations in the past 12 months requiring corticosteroids, antibiotics, or both
- Ability to provide informed consent
- Ability to access the internet at least once daily
You will not qualify if you...
- No existing diagnosis of COPD
- Any medical, cognitive, or functional condition that prevents operating study devices or completing daily symptom reports
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
McGill University Health Centre
Montreal, Quebec, Canada, H4A 3J1
Actively Recruiting
Research Team
B
Bryan A. Ross, MD, MSc (Physiol), MSc (Epi)
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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