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Atrial fibrillation (AF) is a heart rhythm disorder associated with debillitating symptoms, psychological distress and heart failure. It can also significantly increase an individuals stroke risk. Catheter ablation (CA) for AF is the most effective way to restore normal heart rhythm. However, AF can recur in up to 50% of patients after their first CA procedure and a second 'top-up' procedure may be needed to maximise effect. Early detection of recurrences can enable planning and treatment and repeat CA procedures.
Post-CA follow-up strategies rely on episodic rhythm monitoring (Holter monitor tests) that usually last between 1 and 7 days. However, AF recurrences can be intermittent and may not occur during these short monitoring episodes. A greater duration of monitoring has been shown to yield greater detection of AF recurrences.
Relying on symptoms alone to detect recurrence is also sub-optimal. AF recurrences can also be insidious. Similar symptoms may be reported from ectopy, atrial tachycardias or atrial flutter. These may require different management approaches, necessitating rhythm characterisation before considering a repeat CA.
The Apple Watch (AW) is a wristwatch that is able to monitor a wearer's heart rate and rhythm regularity as well as facilitating an immediate, real-time single-lead ECG recording. This non-invasive device that can be purchased over- the-counter has demonstrated feasibility in detecting AF and may offer a potential non-invasive, alternative long-term rhythm surveillance strategy to diagnose AF in these patients.
The investigators propose a single-centre, randomised controlled study to compare the standard follow-up strategy after index AF CA versus one supplemented with an AW-led prolonged monitoring strategy to determine if the latter will improve the expediency and rate of AF recurrence detection. Whether this will lead to improved downstream decision-making, reduction in symptomatic events and a lower prevalence of AF in the longer term will also be studied.
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172 participants in 2 patient groups
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Richard Schilling; Nikhil Ahluwalia
Data sourced from clinicaltrials.gov
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