Department of Cardiology, Bern University Hospital (Inselspital), Bern, Switzerland.
Swiss Federal Institute of Sports, Swiss Olympic Medical Center, Magglingen, Switzerland.
PLoS One. 2018 Nov 21;13(11):e0206072. doi: 10.1371/journal.pone.0206072. eCollection 2018.
International criteria for the interpretation of the athlete's electrocardiogram (ECG) have been proposed. We aimed to evaluate the inter-observer agreement among observers with different levels of expertise.
Consecutive ECGs of Swiss elite athletes (≥14 years), recorded during routine pre-participation screening between 2013 and 2016 at the Swiss Federal Institute of Sports were analysed. A medical student (A), a cardiology fellow (B) and an electrophysiologist (C) interpreted the ECG's independently according to the most recent criteria. The frequencies and percentages for each observer were calculated. An inter-observer reliability analysis using Cohen Kappa (κ) statistics was used to determine consistency among observers.
A total of 287 ECGs (64.1% males) were analysed. Mean age of the athletes was 20.4±4.9 years. The prevalence of abnormal ECG findings was 1.4%. Both, normal and borderline findings in athletes showed moderate to good agreement between all observers. κ scores for abnormal findings resulted in excellent agreement (κ 0.855 in observer A vs C and B vs C to κ 1.000 in observer A vs B). Overall agreement ranged from moderate (κ 0.539; 0.419-0.685 95% CI) between observer B vs C to good agreement (κ 0.720; 0.681-0.821 95% CI) between observer A vs B.
Our cohort of elite athletes had a low prevalence of abnormal ECGs. Agreement in abnormal ECG findings with the use of the recently published International recommendations for ECG interpretation in athletes among observers with different levels of expertise was excellent. ECG interpretation resulted in moderate to good overall agreement.
国际上提出了运动员心电图(ECG)解读标准。我们旨在评估不同专业水平观察者之间的观察者间一致性。
对 2013 年至 2016 年期间在瑞士联邦体育学院进行常规参赛前筛查的瑞士精英运动员(≥14 岁)的连续 ECG 进行分析。一名医学生(A)、一名心脏病学研究员(B)和一名电生理学家(C)根据最新标准独立解读 ECG。计算每位观察者的频率和百分比。使用 Cohen Kappa(κ)统计量进行观察者间可靠性分析,以确定观察者之间的一致性。
共分析了 287 份 ECG(64.1%为男性)。运动员的平均年龄为 20.4±4.9 岁。异常 ECG 发现的患病率为 1.4%。在所有观察者中,运动员的正常和边界发现均显示出中等到良好的一致性。异常发现的 κ 评分结果显示出极好的一致性(观察者 A 与 C 和 B 与 C 的 κ 评分分别为 0.855 和 1.000,观察者 A 与 B 的 κ 评分分别为 0.855 和 1.000)。观察者 B 与 C 之间的总体一致性中等(κ 0.539;0.419-0.685 95%CI),观察者 A 与 B 之间的总体一致性良好(κ 0.720;0.681-0.821 95%CI)。
我们的精英运动员队列中异常 ECG 的患病率较低。使用最近发布的国际运动员心电图解读建议,不同专业水平的观察者在异常 ECG 发现方面的一致性非常好。ECG 解读结果总体上显示出中等到良好的一致性。