Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER feasibility study.


Journal

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
ISSN: 1532-2092
Titre abrégé: Europace
Pays: England
ID NLM: 100883649

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 29 02 2024
accepted: 14 06 2024
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 31 7 2024
Statut: ppublish

Résumé

Single-lead electrocardiograms (ECGs) can be recorded using widely available devices such as smartwatches and handheld ECG recorders. Such devices have been approved for atrial fibrillation (AF) detection. However, little evidence exists on the reliability of single-lead ECG interpretation. We aimed to assess the level of agreement on detection of AF by independent cardiologists interpreting single-lead ECGs and to identify factors influencing agreement. In a population-based AF screening study, adults aged ≥65 years old recorded four single-lead ECGs per day for 1-4 weeks using a handheld ECG recorder. Electrocardiograms showing signs of possible AF were identified by a nurse, aided by an automated algorithm. These were reviewed by two independent cardiologists who assigned participant- and ECG-level diagnoses. Inter-rater reliability of AF diagnosis was calculated using linear weighted Cohen's kappa (κw). Out of 2141 participants and 162 515 ECGs, only 1843 ECGs from 185 participants were reviewed by both cardiologists. Agreement was moderate: κw = 0.48 (95% confidence interval, 0.37-0.58) at participant level and κw = 0.58 (0.53-0.62) at ECG level. At participant level, agreement was associated with the number of adequate-quality ECGs recorded, with higher agreement in participants who recorded at least 67 adequate-quality ECGs. At ECG level, agreement was associated with ECG quality and whether ECGs exhibited algorithm-identified possible AF. Inter-rater reliability of AF diagnosis from single-lead ECGs was found to be moderate in older adults. Strategies to improve reliability might include participant and cardiologist training and designing AF detection programmes to obtain sufficient ECGs for reliable diagnoses.

Identifiants

pubmed: 39082718
pii: 7715576
doi: 10.1093/europace/euae181
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Institute for Health Care Research
Organisme : NIHR School for Primary Care Research
ID : SPCR-2014-10043
Organisme : British Heart Foundation
Pays : United Kingdom
Organisme : Department of Health and Social Care

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.

Auteurs

Katie Hibbitt (K)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

James Brimicombe (J)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

Martin R Cowie (MR)

Royal Brompton Hospital, Faculty of Medicine & Lifesciences, Kings College London, London SW3 6NP, UK.

Andrew Dymond (A)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

Ben Freedman (B)

Heart Research Institute, University of Sydney, Sydney 2006, Australia.

Simon J Griffin (SJ)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

F D R Ichard Hobbs (FDRI)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Hannah Clair Lindén (HC)

Zenicor Medical Systems AB, 113 59 Stockholm, Sweden.

Gregory Y H Lip (GYH)

Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Jonathan Mant (J)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

Richard J McManus (RJ)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Madhumitha Pandiaraja (M)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

Kate Williams (K)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

Peter H Charlton (PH)

Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.

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