Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Worts Causeway, Cambridge CB1 8RN, UK.
Royal Brompton Hospital, Faculty of Medicine & Lifesciences, Kings College London, London SW3 6NP, UK.
Europace. 2024 Jul 2;26(7). doi: 10.1093/europace/euae181.
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.
单导联心电图(ECG)可使用智能手表和手持式 ECG 记录器等广泛可用的设备进行记录。这些设备已被批准用于检测心房颤动(AF)。然而,关于单导联心电图解读的可靠性的证据很少。我们旨在评估独立心脏病专家解读单导联 ECG 时对 AF 检测的一致性程度,并确定影响一致性的因素。
在一项基于人群的 AF 筛查研究中,年龄≥65 岁的成年人使用手持式 ECG 记录器每天记录 4 次单导联 ECG,持续 1-4 周。护士使用自动算法协助识别可能出现 AF 的心电图。由两名独立的心脏病专家对这些心电图进行审查,并为每位参与者和心电图分配诊断。使用线性加权 Cohen's kappa(κw)计算 AF 诊断的组内一致性。在 2141 名参与者和 162515 份心电图中,只有 185 名参与者的 1843 份心电图由两位心脏病专家进行了审查。一致性为中度:参与者水平的 κw=0.48(95%置信区间,0.37-0.58),心电图水平的 κw=0.58(0.53-0.62)。在参与者水平上,一致性与记录的足够数量的高质量 ECG 相关,记录至少 67 份高质量 ECG 的参与者具有更高的一致性。在心电图水平上,一致性与心电图质量以及心电图是否显示算法识别的可能 AF 相关。
在老年人中,单导联心电图 AF 诊断的组内一致性被发现为中度。提高可靠性的策略可能包括参与者和心脏病专家培训以及设计 AF 检测方案以获得可靠诊断所需的足够 ECG。