Department of Physiology, Faculty of Medicine, University of Valencia and INCLIVA Biomedical Research Institute, Valencia, Spain.
Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
Curr Opin Cardiol. 2021 Jan;36(1):10-16. doi: 10.1097/HCO.0000000000000817.
The aim of this study was to synthesize the current evidence supporting and against the use of wearable devices to detect underlying heart conditions in athletes and the most significant limitations.
Although several large studies have been conducted to evaluate the ability of wearables devices to identify atrial fibrillation among the general population, no studies evaluating their ability to detect other exercise-related arrhythmias in athletes are very sparse. Most of the studies or case reports are focused on the wearables' reliability and accuracy compared with standard ECG. Only small studies evaluating the accuracy of one wearable device in athletes have been carried out to date. Unfortunately, none of them have investigated their ability to detect specific arrhythmias in the athletic population.
Rapidly detecting dangerous arrhythmias in a symptomatic athlete continues to be an elusive goal. The use of smartphone ECG monitors can provide diagnostic data in athletes with symptoms that could represent a helpful instrument. However, many uncertainties remain and need to be addressed and validated in large-scale trials to incorporate these devices into the healthcare system and be part of an athlete's daily monitoring and healthcare.
本研究旨在综合目前支持和反对使用可穿戴设备来检测运动员潜在心脏状况的证据,并探讨其最显著的局限性。
尽管已经进行了多项大型研究来评估可穿戴设备在普通人群中识别房颤的能力,但评估其在运动员中检测其他与运动相关的心律失常的能力的研究却非常稀少。大多数研究或病例报告都集中在可穿戴设备与标准心电图相比的可靠性和准确性上。迄今为止,仅进行了少数小型研究来评估一种可穿戴设备在运动员中的准确性。遗憾的是,这些研究都没有调查其在运动人群中检测特定心律失常的能力。
在有症状的运动员中快速检测到危险的心律失常仍然是一个难以实现的目标。智能手机心电图监测仪的使用可以为有症状的运动员提供诊断数据,这可能是一种有用的工具。然而,仍有许多不确定因素需要在大规模试验中加以解决和验证,以便将这些设备纳入医疗保健系统,并成为运动员日常监测和医疗保健的一部分。