CMH Lahore Medical College, Lahore, Pakistan.
Sargodha Medical College, Sargodha, Pakistan.
Curr Cardiol Rep. 2023 Jul;25(7):761-779. doi: 10.1007/s11886-023-01898-3. Epub 2023 May 24.
This study aims to evaluate the sensitivity and specificity of wearable devices for AF detection in older adults, as well as examine the incidence of AF across various studies, contextual factors impacting AF detection, and safety and adverse events associated with wearable use.
A systematic search of three databases identified 30 studies on wearables for AF detection in older adults, encompassing 111,798 participants. Both PPG-based and single-lead electrocardiography-based wearables show scalable potential for screening and managing AF. The results of this systematic review demonstrate that wearable devices, such as smartwatches, can effectively identify arrhythmias like AF in older adults, with scalable potential in PPG-based and single-lead electrocardiography-based wearables. As wearable technologies continue to gain prominence in healthcare, it is crucial to understand their challenges and incorporate them as preventative and monitoring tools for AF detection in elderly populations to improve patient care and prevention techniques.
本研究旨在评估可穿戴设备在老年人群中检测房颤(AF)的敏感性和特异性,同时考察不同研究中的 AF 发生率、影响 AF 检测的背景因素以及与可穿戴设备使用相关的安全性和不良事件。
通过对三个数据库的系统检索,共确定了 30 项关于可穿戴设备在老年人群中检测 AF 的研究,涵盖了 111798 名参与者。基于 PPG 和单导联心电图的可穿戴设备都显示出在筛查和管理 AF 方面具有可扩展的潜力。这项系统综述的结果表明,智能手表等可穿戴设备可以有效地识别老年人的心律失常,如房颤,基于 PPG 和单导联心电图的可穿戴设备具有可扩展的潜力。随着可穿戴技术在医疗保健领域的地位日益凸显,了解其面临的挑战并将其作为预防和监测工具纳入老年人群的 AF 检测,以改善患者护理和预防技术至关重要。