Pilot Study for Automated Detection of Atrial Fibrillation after TIA
Research type
Research Study
Full title
Pilot Study for Automated Detection of Atrial Fibrillation after Transient Ischemic Attack
IRAS ID
162500
Contact name
Roland Veltkamp
Contact email
Sponsor organisation
Imperial College Healthcare NHS Trust
Duration of Study in the UK
2 years, 0 months, 2 days
Research summary
DESIGN: prospective, nonrandomized, blinded outcome assessment study design of paired variables
AIMS: Our study aims to determine the yield and feasibility of automated analysis of prolonged electrocardiogram (ECG) recordings for detection of paroxysmal atrial fibrillation (pAF) compared to standard length and analysis methods (i.e. 24-hour Holter ECG).
MEASURES: 14-day ECG patch recorder in addition to routine diagnostic work-up (brain imaging, vascular Doppler, 12 channel ECG, blood tests, 24-hour Holter ECG). ECG data will be analyzed by an automated software algorithm dedicated for atrial fibrillation (AF) diagnosis. Data will also be analyzed by trained staff using conventional analysis. Analysis will be performed separately for the first 24 hours and the entire 14-day period. Detection rates of pAF of at least 30 seconds duration will be recorded. Impact of detection of AF on stroke prevention will be followed-up after 3 and 12 months by telephone interview.
POPULATION: 157 patients (500 to be screened).
ELIGIBILITY: Consecutive transient ischemic attack (TIA) patients aged ≥ 18, without known AF or presence of cardiac pacemaker or cardioverter, with life expectancy > 1 year presenting to Imperial College TIA clinics, able and willing to provide informed consent.
DURATION: 2 yearsREC name
London - Westminster Research Ethics Committee
REC reference
15/LO/1743
Date of REC Opinion
27 Nov 2015
REC opinion
Further Information Favourable Opinion