McGill University Health Centre
Montreal, Quebec, H4A 3J1, Canada
Location status: Recruiting
NCT Number: NCT06802003
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.
Interested in participating?
Request Info40 year and older
All sexes
Observational
Montreal, Quebec, H4A 3J1, Canada
Location status: Recruiting
A single-site, prospective, observational cohort study to collect high-quality multidimensional data from the wearable/portable devices, as well as symptom and exacerbation data, in high-risk patients with frequent exacerbations in order to develop a COPD exacerbation predictive model.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
In this study, participants will be equipped with biometric wearable devices, i.e. ring and wristband, as well as with a handheld oscillometer, to measure their physiological parameters and lung mechanical changes (lung function).
Time frame: Daily/nightly for 12 months
Respiratory rate (RR) and respiratory rate variability (RRV) measured with wearable devices
Time frame: Daily/nightly for 12 months
Heart rate (HR) and HR variability (HRV) measured with wearable devices
Time frame: Daily/nightly for 12 months
Blood oxygen saturation (SpO2) measured with wearable devices
Time frame: Daily/nightly for 12 months
Parameter measured with wearable devices, related to activity.
Time frame: Nightly for 12 months
Parameter measured with wearable devices.
Time frame: Nightly for 12 months
Parameter measured with wearable devices.
Time frame: Nightly for 12 months
Parameter measured with wearable devices.
Time frame: Nightly for 12 months
Peripheral body temperature measured with wearable devices
Time frame: Daily for 12 months
Parameter measured at 5 Hz frequency with handheld oscillometry, related to lung mechanics/function.
Time frame: Daily for 12 months
Parameter measured at 5 Hz frequency with handheld oscillometry, related to lung mechanics/function.
Time frame: Daily for 12 months
Parameter measured with handheld oscillometry, related to lung mechanics/function.
Time frame: Daily for 12 months
Parameter measured with handheld oscillometry, related to lung mechanics/function.
Time frame: Daily for 12 months
Inspiratory and expiratory flows measured with handheld oscillometry, related to lung mechanics/function.
Time frame: Daily for 12 months
Parameter measured with handheld oscillometry.
Time frame: Daily for 12 months
Parameter measured with handheld oscillometry, related to lung mechanics/function.
Time frame: Daily for 12 months
Parameter measured with handheld oscillometry before performing oscillometry test.
Time frame: Daily for 12 months
Parameter measured with handheld oscillometry before performing oscillometry test.
Time frame: Daily for 12 months
Time frame: Weekly for 12 months
Time frame: Daily/nightly for 12 months
Parameter measured with wearable devices, related to activity.
Time frame: Daily/nightly for 12 months
Parameter measured with wearable devices, related to activity.
Time frame: Daily/nightly for 12 months
Parameter measured with wearable devices, related to activity.
Time frame: Nightly for 12 months
Parameter measured with wearable devices.
Time frame: Nightly for 12 months
Parameter measured with wearable devices.
Time frame: Nightly for 12 months
Parameter measured with wearable devices.
Time frame: Once (baseline visit)
Validated COPD questionnaire consisting of 8 questions and scaled 0-40. Higher scores indicate the severity of disease impact.
Time frame: Once (baseline visit)
Standard and validated assessment in COPD. Outcomes include distance walked as well as heart rate (HR), oxygen saturation (SpO2), and respiratory rate (RR) during the test. the 6MWT will be performed once at baseline while the participant is wearing the biometric wearable devices.
Time frame: Through study completion, 1 year.
Practical and reliable tool to determine the user experience with a variety of systems and devices. Scaled from 1-5, higher scores indicate better experience.
Contact information is provided by the study sponsor or research team.
McGill University Health Centre/Research Institute of the McGill University Health Centre
Other
Early Prediction of Acute Exacerbations of COPD Using Wearable and Portable Remote Monitoring Technology With AI/ML Empowered Platforms: A Prospective Clinical Study
Acronym: ePredictAECOPD
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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