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

atrial fibrillation diagnosis electrocardiogram inter-rater agreement screening

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:
28 Jun 2024
Historique:
received: 29 02 2024
accepted: 14 06 2024
medline: 28 6 2024
pubmed: 28 6 2024
entrez: 28 6 2024
Statut: aheadofprint

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. ECGs 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 (kw). Out of 2,141 participants and 162,515 ECGs, only 1,843 ECGs from 185 participants were reviewed by both cardiologists. Agreement was moderate: kw = 0.48 (95% CI, 0.37-0.58) at participant-level; and kw = 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.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
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.
METHODS METHODS
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. ECGs 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 (kw).
RESULTS RESULTS
Out of 2,141 participants and 162,515 ECGs, only 1,843 ECGs from 185 participants were reviewed by both cardiologists. Agreement was moderate: kw = 0.48 (95% CI, 0.37-0.58) at participant-level; and kw = 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.
CONCLUSION CONCLUSIONS
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: 38941497
pii: 7701345
doi: 10.1093/europace/euae181
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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, Cambridge, CB1 8RN, UK.

James Brimicombe (J)

Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.

Martin R Cowie (MR)

Royal Brompton Hospital (Guy's and St Thomas' NHS Foundation Trust), Sydney Street, London, SW3 6NP, UK.

Andrew Dymond (A)

Department of Public Health and Primary Care, University of Cambridge, 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, Cambridge, CB1 8RN, UK.

F D Richard Hobbs (FDR)

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, United Kingdom; and Danish Center Health for Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Jonathan Mant (J)

Department of Public Health and Primary Care, University of Cambridge, 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, Cambridge, CB1 8RN, UK.

Kate Williams (K)

Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.

Peter H Charlton (PH)

Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.

Classifications MeSH