Intelligent Monitoring to Predict Atrial Fibrillation [NOTE-AF]
Research type
Research Study
Full title
INTELLIGENT MONITORING TO PREDICT ATRIAL FIBRILLATION [NOTE-AF]: CLINICAL STUDY 1 FOR THE “HEALTH VIRTUAL TWINS FOR THE PERSONALISED MANAGEMENT OF STROKE RELATED TO ATRIAL FIBRILLATION (TARGET)” PROJECT
IRAS ID
342528
Contact name
Heather Rogers
Contact email
Sponsor organisation
Liverpool University Hospitals NHS Foundation Trust, RD&I Department
Duration of Study in the UK
3 years, 11 months, 31 days
Research summary
Atrial fibrillation (AF) is condition where the heartbeat becomes fast and irregular. AF can be a complication of acute illness. Even short episodes of AF, double the risk of developing blood clots or a stroke.
We wish to understand which patients have a high risk of developing it. Using modern compute technology (“artificial intelligence”), computer scientists can develop tools that update in real time when receiving patient data to inform health care professionals about the risk for AF. This would allow doctors to take measures to prevent AF or to request further investigations. In this project, we wish to collect data to develop such a tool, also called “digital twin”. Testing of this digital twin in patients will be part of a follow-up study. We wish to collect this data using an approved and licensed wireless monitoring system.
Patients over 50 years old admitted to hospital for acute illness can take part. Patients will have heart rate, breathing rate, blood pressure and oxygen levels measured as per the normal hospital practice. Patients will also wear a wireless patch measure heart rate and rhythm for up to 7 days.
We will enrol 25 patients in a second part of the study where alerts for any abnormal readings will be sent to the ward nurse on a mobile phone. In questionnaires or interviews we will ask these patients and the nursing staff for their opinions the extra monitoring and how useful the alerts are in improving patient care.
NOTE-AF is part of a large project called “TARGET” to improve care and reduce strokes caused by AF funded by the European Union. The overall aim of TARGET is to prevent and better treat AF and stroke using digital twins.
REC name
North West - Haydock Research Ethics Committee
REC reference
24/NW/0170
Date of REC Opinion
27 Jun 2024
REC opinion
Further Information Favourable Opinion