Phenotypic Measurements and Their Relation to Disease Exacerbation in COPD Patients
Purpose
This is an observational pilot study focused on collecting data on clinical variables that can improve the understanding of potential predictors of disease exacerbation and readmissions in COPD patients. The study aim is to understand how the variability of clinical parameters (respiratory rate, forced expiratory volume in one second, and oxygen saturation), physical activity and quality of life is associated with the risk of exacerbation in COPD patients.
Conditions
- COPD Exacerbation
- Copd
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Genders
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- Medically stable and ambulatory COPD (primary diagnosis) patients who have had an emergency room visit or hospitalization for an acute exacerbation of COPD within the past 30 days. 2. Sufficient understanding of the English language to be able to read and understand study procedures.
Exclusion Criteria
- Currently on admission in the hospital, on non-invasive positive airway pressure ventilation 2. Visual, hearing or cognitive impairments at the discretion of their physician. 3. Currently participating in a COPD telemonitoring program. 4. No AT&T cellular coverage at their primary residence 5. Any other medical or psychological condition that, in the opinion of the investigator may present an unreasonable risk to the study participant as a result of his/her participation in this study, may make participant's participation unreliable, or may interfere with study assessments.
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Case-Only
- Time Perspective
- Prospective
More Details
- Status
- Completed
- Sponsor
- Massachusetts General Hospital
Study Contact
Detailed Description
The investigational product to be used in this trial is the ResMed Biomotion Sensor (ResMed Sensor Technologies, Dublin, Ireland). This device uses very low power radio waves (~1/100th of the strength of a mobile phone signal) to detect respiratory movements of a person while asleep- without physical contact with the individual. The device is designed to measure up to 5 feet, so that only the person on the side of the bed nearest the device is monitored. Algorithms have been developed to analyze the respiratory movement signals and extract information about respiration rate, bodily movements, sleep/wake patterns and sleep disordered respiration.