Home monitoring to predict exacerbations in Cystic Fibrosis
Research type
Research Study
Full title
Smart Care - A Standardized Multi-centre Analysis of Remote Monitoring in CF Adult patients to Reduce pumlmonary Exacerbations
IRAS ID
163484
Contact name
RA Floto
Contact email
Sponsor organisation
Papworth Hospital NHS Foundation Trust
Duration of Study in the UK
2 years, 0 months, 1 days
Research summary
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.
This data will be collected via Bluetooth-enabled devices and transmitted via a Smartphone to a secure NHS approved web-based site to be analyzed.
The information obtained will allow us to develop a software program that will identify signals that can predict the onset of a chest infection before symptoms develop.
We will also measure specific substances in sputum (mucus coughed up from the lungs), to identify changes before, during and after chest infections. We hope this additional information will enable us 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.
The ability to diagnose chest infections early could mean that patients are able to start treatment earlier and thereby keep lungs healthier for longer and reduce time spent at hospital.
REC name
East of England - Cambridgeshire and Hertfordshire Research Ethics Committee
REC reference
14/EE/1244
Date of REC Opinion
10 Dec 2014
REC opinion
Further Information Favourable Opinion