Home Monitoring to Predict Exacerbation in Cystic Fibrosis (SmartCare)

March 15, 2021 updated by: Judy Ryan, Papworth Hospital NHS Foundation Trust

A Standardized Multi-centre Analysis of Remote Monitoring in Cystic Fibrosis Adult Patients to Reduce Pulmonary Exacerbations

The study aims to establish if it is possible for people with Cystic Fibrosis to monitor a number of parameters on a daily basis at home which might predict respiratory infections before they have symptoms and which might also predict treatment failures before this is obvious with conventional measures.

Study Overview

Status

Completed

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

Observational

Enrollment (Actual)

147

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Cambridge, United Kingdom, CB23 3RE
        • Papworth Hospital NHS Trust
    • Cambridgeshire
      • Cambridge, Cambridgeshire, United Kingdom, CB23 3RE
        • Papworth Hospital NHS Trust

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Adult Cystic Fibrosis patients who produce sputum daily and have not had a previous organ transplant, with a history of at least one pulmoanry exacerbation within the past 12 months.

Description

Inclusion Criteria:

  1. Diagnosis of Cystic Fibrosis based on genetic testing and/or sweat chloride.
  2. Age ≥ 18 years of age.
  3. A history of at least 1 acute pulmonary exacerbation in the past 12 months.
  4. Able to provide written informed consent.
  5. Willing and able to produce daily sputum samples.
  6. Willing and able to provide daily telemetric measure of several physiological parameters.

Exclusion Criteria:

  1. Patients unable to provide written informed consent
  2. Patients unable to produce daily sputum samples
  3. Less than 1 infective pulmonary exacerbation in 12 months
  4. Lung transplant recipients

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Observation
Adult Cystic Fibrosis patients

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Home monitoring possible in adult Cystic Fibrosis patients
Time Frame: 6 months
This will be measured by the number of patients recruited into the study and the patients compliance / adherence to the study protocol
6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Whether daily monitoring can provide early warning of a new chest infection
Time Frame: 6 months
Identification of predictive signals for early detection of an acute pulmonary exacerbations and treatment response in patients with cystic fibrosis
6 months
Development of a web-based machine learning tool
Time Frame: 6 months
Development of a web-based machine learning associated tool to predict acute pulmonary exacerbation and treatment response in patients with cystic fibrosis.
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 1, 2015

Primary Completion (Actual)

January 1, 2018

Study Completion (Actual)

January 1, 2019

Study Registration Dates

First Submitted

February 10, 2015

First Submitted That Met QC Criteria

April 9, 2015

First Posted (Estimate)

April 15, 2015

Study Record Updates

Last Update Posted (Actual)

March 16, 2021

Last Update Submitted That Met QC Criteria

March 15, 2021

Last Verified

March 1, 2021

More Information

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.

Clinical Trials on Cystic Fibrosis

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