» Articles » PMID: 38941497

Reliability of Single-lead Electrocardiogram Interpretation to Detect Atrial Fibrillation: Insights from the SAFER Feasibility Study

Abstract

Aims: 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 And Results: 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.

Conclusion: 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.

Citing Articles

Telephone training to improve ECG quality in remote screening for atrial fibrillation.

Prathivadi Bhayankaram K, Mant J, Brimicombe J, Dymond A, Williams K, Charlton P Physiol Meas. 2024; 45(12.

PMID: 39591749 PMC: 11651129. DOI: 10.1088/1361-6579/ad9798.

References
1.
Svennberg E, Engdahl J, Al-Khalili F, Friberg L, Frykman V, Rosenqvist M . Mass Screening for Untreated Atrial Fibrillation: The STROKESTOP Study. Circulation. 2015; 131(25):2176-84. DOI: 10.1161/CIRCULATIONAHA.114.014343. View

2.
Lowres N, Neubeck L, Salkeld G, Krass I, McLachlan A, Redfern J . Feasibility and cost-effectiveness of stroke prevention through community screening for atrial fibrillation using iPhone ECG in pharmacies. The SEARCH-AF study. Thromb Haemost. 2014; 111(6):1167-76. DOI: 10.1160/TH14-03-0231. View

3.
Mant J, Modi R, Charlton P, Dymond A, Massou E, Brimicombe J . The feasibility of population screening for paroxysmal atrial fibrillation using hand-held electrocardiogram devices. Europace. 2024; 26(3). PMC: 10946414. DOI: 10.1093/europace/euae056. View

4.
Poulsen M, Binici Z, Dominguez H, Soja A, Kruuse C, Hornnes A . Performance of short ECG recordings twice daily to detect paroxysmal atrial fibrillation in stroke and transient ischemic attack patients. Int J Stroke. 2016; 12(2):192-196. DOI: 10.1177/1747493016669883. View

5.
Himmelreich J, Karregat E, Lucassen W, van Weert H, de Groot J, Handoko M . Diagnostic Accuracy of a Smartphone-Operated, Single-Lead Electrocardiography Device for Detection of Rhythm and Conduction Abnormalities in Primary Care. Ann Fam Med. 2019; 17(5):403-411. PMC: 7032908. DOI: 10.1370/afm.2438. View