About this trial
The goal of this observational study is to determine if a COPD exacerbation can be detected early in its onset. The main questions it aims to answer are:
* Can an exacerbation be detected before the person recognizes they are unwell? * What are the biological signals which provide the best indication of decompensation? * How does this indication of decompensation compare to a daily CAT?
Participants will be asked to place a device, DistaSense, on top of their mattress and then sleep as normal. In addition, they will be asked to complete a daily CAT.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Confirmed diagnosis of COPD
1 or more exacerbation in the last year
Aged over 18 years
Willing to use monitoring devices and complete study questionnaires
Disqualifiers
Pregnancy
BMI greater than 45 kg/m2
Nil other, provided inclusion criteria are met.
Trial population
Chronic Obstructive Pulmonary Disease (COPD) is the third leading cause of death affecting an estimated 238 million worldwide. It is a heterogeneous disease which is characterized by air flow obstruction and decline in lung function with symptoms of shortness of breathing, sputum, and cough.
Trial design
Cohort
Other
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Track the adherence of DistaSense
To evaluate the adherence of patients using DistaSense, a non-contact vital sign monitor that measures heart rate and respiration rate, we will be tracking the patient dropout rate over the course of the 12 month study period.
Understand the patient acceptance of DistaSense
To evaluate the patient acceptance of using DistaSense, a non-contact vital sign monitor that measures heart rate and respiration rate, we will be requesting patients complete a Technology Assessment Model Fast Form (TAM-FF) every 3 months during the 12 month trial period.
Ability to detect COPD exacerbations
To evaluate the ability of a non-contact remote monitoring techniques to detect exacerbations of COPD.
Sponsors and contacts
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Life Detection Technologies
Lead sponsor
Royal Free Hospital NHS Foundation Trust
Collaborator