- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02416375
Home Monitoring to Predict Exacerbation in Cystic Fibrosis (SmartCare)
A Standardized Multi-centre Analysis of Remote Monitoring in Cystic Fibrosis Adult Patients to Reduce Pulmonary Exacerbations
Study Overview
Status
Conditions
Detailed Description
Participants will collect the following clinical information daily: pulse rate and oxygen saturations, wellness and cough scores, spirometry measurements, physical activity, temperature, weight and sleep quantity and quality. The patients will also collect daily sputum samples.
Data will be collected via Bluetooth-enabled devices and transmitted via a Smart-phone to a secure National Health Service approved web-based site to be analyzed.
The information obtained will allow the investigators to develop a software program that will identify signals that can predict the onset of a chest infection before symptoms develop.
The investigators will also measure specific substances in sputum to identify changes before, during and after chest infections. The investigators hope this additional information will enable them to more accurately predict the onset of chest infections in cystic fibrosis.
The results of this study will determine if it is possible to develop a simple sputum test for patients to use at home in combination with other home-based assessments of well-being to provide an early warning system of a chest infection before patients feel unwell.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Cambridge, United Kingdom, CB23 3RE
- Papworth Hospital NHS Trust
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Cambridgeshire
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Cambridge, Cambridgeshire, United Kingdom, CB23 3RE
- Papworth Hospital NHS Trust
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Diagnosis of Cystic Fibrosis based on genetic testing and/or sweat chloride.
- Age ≥ 18 years of age.
- A history of at least 1 acute pulmonary exacerbation in the past 12 months.
- Able to provide written informed consent.
- Willing and able to produce daily sputum samples.
- Willing and able to provide daily telemetric measure of several physiological parameters.
Exclusion Criteria:
- Patients unable to provide written informed consent
- Patients unable to produce daily sputum samples
- Less than 1 infective pulmonary exacerbation in 12 months
- Lung transplant recipients
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Observation
Adult Cystic Fibrosis patients
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Home monitoring possible in adult Cystic Fibrosis patients
Time Frame: 6 months
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This will be measured by the number of patients recruited into the study and the patients compliance / adherence to the study protocol
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6 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Whether daily monitoring can provide early warning of a new chest infection
Time Frame: 6 months
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Identification of predictive signals for early detection of an acute pulmonary exacerbations and treatment response in patients with cystic fibrosis
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6 months
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Development of a web-based machine learning tool
Time Frame: 6 months
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Development of a web-based machine learning associated tool to predict acute pulmonary exacerbation and treatment response in patients with cystic fibrosis.
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6 months
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Andres Floto, Prof, Papworth Hospital NHS
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PO1955
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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