A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke

Objective: The aim of this systematic review is to evaluate the various modalities available for extended ECG monitoring in the detection of atrial fibrillation (AF) following a cryptogenic stroke. Methods: MEDLINE (Ovid), EMBASE (Ovid), Cochrane Central Register of Controlled Trials (CENTRAL) were...

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Main Authors: Jiang, Haowen, Tan, Shyn Yi, Wang, Jeremy King, Li, Jiaqi, Tu, Tian Ming, Tan, Vern Hsen, Yeo, Colin
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/164491
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spelling sg-ntu-dr.10356-1644912023-03-05T16:54:15Z A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke Jiang, Haowen Tan, Shyn Yi Wang, Jeremy King Li, Jiaqi Tu, Tian Ming Tan, Vern Hsen Yeo, Colin Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Atrial Fibrillation Cerebrovascular Accident Objective: The aim of this systematic review is to evaluate the various modalities available for extended ECG monitoring in the detection of atrial fibrillation (AF) following a cryptogenic stroke. Methods: MEDLINE (Ovid), EMBASE (Ovid), Cochrane Central Register of Controlled Trials (CENTRAL) were searched from January 2011 to November 2021. All randomised controlled trials and prospective cohort studies including the use of extended ECG monitoring >24 hours with a minimum duration of AF of 30 s in patients with either cryptogenic strokes or transient ischaemic attacks were included. A random-effects model was used to pool effect estimates of AF detection rates from different ECG modalities. Results: 3924 studies were identified, of which 47 were included reporting on a pooled population of 6448 patients with cryptogenic stroke. The pooled AF rate for implantable loop recorders (ILRs) increased from 4.9% (3.0%-7.9%) at 1 month to 38.4% (20.4%-60.2%) at 36 months. Mobile cardiac outpatient telemetry (MCOT) had a significantly higher pooled AF detection rate of 12.8% (8.9%-17.9%) versus 4.9% (3.0%-7.9%) for ILR at 1 month (p<0.0001). Predictors for AF detection include duration of monitoring (p<0.0001) and age (p<0.0001) for ILRs, but only age for MCOTs (p<0.020). Conclusion: MCOT has a higher rate of detection at 1 month and is less invasive. Beyond 1 month, compliance becomes a significant limitation for MCOT. MCOT may be a reasonable alternative AF screening tool for patients with cryptogenic stroke if ILR is not available. PROSPERO registration number CRD42022297782. Published version 2023-01-30T02:38:17Z 2023-01-30T02:38:17Z 2022 Journal Article Jiang, H., Tan, S. Y., Wang, J. K., Li, J., Tu, T. M., Tan, V. H. & Yeo, C. (2022). A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke. Open Heart, 9(2), e002081-. https://dx.doi.org/10.1136/openhrt-2022-002081 2053-3624 https://hdl.handle.net/10356/164491 10.1136/openhrt-2022-002081 36175044 2-s2.0-85141765960 2 9 e002081 en Open Heart © Author(s) (or their employer(s)) 2022. Open access. 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/. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Atrial Fibrillation
Cerebrovascular Accident
spellingShingle Science::Medicine
Atrial Fibrillation
Cerebrovascular Accident
Jiang, Haowen
Tan, Shyn Yi
Wang, Jeremy King
Li, Jiaqi
Tu, Tian Ming
Tan, Vern Hsen
Yeo, Colin
A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke
description Objective: The aim of this systematic review is to evaluate the various modalities available for extended ECG monitoring in the detection of atrial fibrillation (AF) following a cryptogenic stroke. Methods: MEDLINE (Ovid), EMBASE (Ovid), Cochrane Central Register of Controlled Trials (CENTRAL) were searched from January 2011 to November 2021. All randomised controlled trials and prospective cohort studies including the use of extended ECG monitoring >24 hours with a minimum duration of AF of 30 s in patients with either cryptogenic strokes or transient ischaemic attacks were included. A random-effects model was used to pool effect estimates of AF detection rates from different ECG modalities. Results: 3924 studies were identified, of which 47 were included reporting on a pooled population of 6448 patients with cryptogenic stroke. The pooled AF rate for implantable loop recorders (ILRs) increased from 4.9% (3.0%-7.9%) at 1 month to 38.4% (20.4%-60.2%) at 36 months. Mobile cardiac outpatient telemetry (MCOT) had a significantly higher pooled AF detection rate of 12.8% (8.9%-17.9%) versus 4.9% (3.0%-7.9%) for ILR at 1 month (p<0.0001). Predictors for AF detection include duration of monitoring (p<0.0001) and age (p<0.0001) for ILRs, but only age for MCOTs (p<0.020). Conclusion: MCOT has a higher rate of detection at 1 month and is less invasive. Beyond 1 month, compliance becomes a significant limitation for MCOT. MCOT may be a reasonable alternative AF screening tool for patients with cryptogenic stroke if ILR is not available. PROSPERO registration number CRD42022297782.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Jiang, Haowen
Tan, Shyn Yi
Wang, Jeremy King
Li, Jiaqi
Tu, Tian Ming
Tan, Vern Hsen
Yeo, Colin
format Article
author Jiang, Haowen
Tan, Shyn Yi
Wang, Jeremy King
Li, Jiaqi
Tu, Tian Ming
Tan, Vern Hsen
Yeo, Colin
author_sort Jiang, Haowen
title A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke
title_short A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke
title_full A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke
title_fullStr A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke
title_full_unstemmed A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke
title_sort meta-analysis of extended ecg monitoring in detection of atrial fibrillation in patients with cryptogenic stroke
publishDate 2023
url https://hdl.handle.net/10356/164491
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