Atrial Fibrillation Detected by Continuous ECG Monitoring

Background: Ischemic stroke is an increasing health problem world-wide (Heidenreich PA, et al. Circulation 2011; PMID 21262990). At least 20% of ischemic strokes are attributable to atrial fibrillation (AF) (Marini C, et al. Stroke J Cereb Circ 2005; PMID 15879330). Another 30% are so-called cryptogenic, possibly related to undiagnosed AF (Brachmann J, et al. Circ Arrhythm Electrophysiol 2015; PMID 26763225). In approximately 30% of a general population of pacemaker or cardioverter defibrillator patients, previously unknown AF will be detected during the first 2-3 years after implantation (Healey JS, et al. N Engl J Med 2012; PMID 22236222; ASSERT). Although the majority of these AF episodes are short-lasting and asymptomatic, the ASSERT study found that such AF is associated with risk of stroke. Since this was published, screening for AF has received intensified attention by researchers and the industry, although available evidence does not yet support systematic mass screening. \- Aims: The LOOP study will determine whether long-term continuous screening and initiation of OAC for AF episodes lasting ≥6 minutes will reduce the risk of stroke in patients with stroke risk factors. \- Methods: Patients from the general population will receive a letter of invitation from one of four study centers located in 3 of Denmark's 5 administrative regions. Eligible study participants must be ≥70 years old and have ≥1 of the following stroke risk factors; hypertension, diabetes, heart failure or previous stroke, while any history of AF or existing cardiac implantable electronic device are exclusion criteria. A total of 6000 participants will be randomized 3:1 to control (n=4500) or to receive an implantable loop recorder with continuous remote monitoring (n=1500) and initiation of OAC if AF is detected. The primary endpoint is time to first stroke or systemic arterial embolism. The trial is event-driven and planned to continue until 279 adjudicated primary events have occurred. Sub-studies include AF characterization, health economic analyses, quality-of-life assessments, cognitive function assessments, and studies of risk markers from 12-lead ECG, genetics, cardiac and brain imaging, biochemistry, and more.