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Atrial fibrillation detection using a automated electrocardiographic monitoring in a transient Ischemic Attack service
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e001433.full.pdf | Published version | 426.32 kB | Adobe PDF | View/Open |
Title: | Atrial fibrillation detection using a automated electrocardiographic monitoring in a transient Ischemic Attack service |
Authors: | D'Anna, L Oishi, S Lim, SY Kalladka, D Banerjee, S |
Item Type: | Journal Article |
Abstract: | Background. The vast majority of the TIA services in UK reported significant delays in the initiation of the routine cardiac monitoring that may result in a significant number of missed atrial fibrillation (AF) paroxysms and increased long-term risk of recurrent stroke. Automated Continuous Electrocardiogram Monitoring (ACEM) system has shown promising results in terms of AF detection but it is unclear if ACEM improves AF detection in a rapid outpatient TIA service. Objectives. We assessed ACEM in patients with TIA with the aim to significantly reduce the delay to initiate the cardiac monitoring and to enhance the yield of AF detection in these patients. We also aimed to determine the impact of a more rapid initiation of ACEM on the 6-month risk of recurrent stroke/TIA. Methods. This is an observational, prospective before (phase-1: July 1 to December 31, 2018) versus after (phase-2: January 1, to June 30, 2019) study of the effect of ACEM, compared to routine initiation of 24h-Holter ECG, in TIA patients assessed in our service. Results. The phase-1 (n = 136) and phase-2 (n= 105) cohorts did not differ with regards to age, risk factors, duration of cardiac monitoring. The rate of newly-detected AF was significantly higher in phase-2 compared to phase-1 (9.52 vs. 2.21%, p < 0.001). The 6-month risk of recurrent stroke/TIA was significantly lower in phase-2 compared to phase-1 (7.4 vs. 1%, p = 0.018). Conclusions. Early initiation of ACEM improves AF detection after TIA in a rapid TIA service and is associated with a reduced risk of recurrent TIA/stroke. |
Issue Date: | 2-Feb-2022 |
Date of Acceptance: | 20-Dec-2021 |
URI: | http://hdl.handle.net/10044/1/93695 |
DOI: | 10.1136/bmjoq-2021-001433 |
ISSN: | 2399-6641 |
Publisher: | BMJ Publishing Group |
Journal / Book Title: | BMJ Open Quality |
Volume: | 11 |
Issue: | 1 |
Copyright Statement: | © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
Publication Status: | Published |
Article Number: | ARTN e001433 |
Online Publication Date: | 2022-02-02 |
Appears in Collections: | Faculty of Medicine Department of Brain Sciences |
This item is licensed under a Creative Commons License