Guo Yutao, Zhang Hui, Lip Gregory Y H
Medical School of Chinese PLA, Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
Liverpool Centre for Cardiovascular Sciences, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.
JACC Asia. 2022 Nov 1;2(6):737-746. doi: 10.1016/j.jacasi.2022.07.006. eCollection 2022 Nov.
There are limited data on mobile health detection of prevalent atrial fibrillation (AF) and its related risk factors over time.
This study aimed to report the trends on prevalent AF detection over time and risk factors, with a consumer-led photoplethysmography screening approach.
3,499,461 subjects aged over 18 years, who use smart devices (Huawei Technologies Co.) were enrolled between October 26, 2018, and December 1, 2021.
Among 2,852,217 subjects for AF screening, 12,244 subjects (0.43%; 83.2% male, mean age 57 ± 15 years) detected AF episodes. When compared with 2018, the risk (adjusted HRs, 95% CI) for monitored prevalent AF increased significantly for subjects when monitoring started in 2020 (adjusted HR: 1.34; 95% CI: 1.27-1.40; < .001) or in 2021 (adjusted HR: 1.67; 95% CI: 1.59-1.76; < 0.001). Of the 961,931 subjects who screening for both AF and OSA, 18,032 (1.9%, 97.8% male, mean age 44 ±17 years) were identified as high risk for OSA, which resulted in a 1.5-fold increase (95% CI: 1.30-fold to 1.75-fold) in the prevalent AF. A total of 5,227 (53.3%, 5,227/9,797) subjects were effectively followed up, from which 4,903 (93.8%, 4,903/5,227) subjects were confirmed with the diagnosis of AF, by the mAFA Telecare Team health providers.
Photoplethysmography-based smart devices can facilitate screening for AF with >93% confirmation of detected AF episodes even for the low-risk general population, highlighting the increased risk for detecting prevalent AF and the need for modification of OSA that increase AF susceptibility. (Mobile Health [mHealth] Technology for Improved Screening, Patient Involvement and Optimizing Integrated Care in Atrial Fibrillation [mAFA (mAF-App) II study]; ChiCTR-OOC-17014138).
关于移动健康技术对心房颤动(AF)及其相关危险因素随时间变化的检测数据有限。
本研究旨在通过消费者主导的光电容积脉搏波描记术筛查方法,报告随时间推移AF检测患病率及危险因素的趋势。
2018年10月26日至2021年12月1日期间,纳入3499461名使用智能设备(华为技术有限公司)的18岁以上受试者。
在2852217名接受AF筛查的受试者中,12244名(0.43%;男性占83.2%,平均年龄57±15岁)检测到AF发作。与2018年相比,2020年开始监测的受试者中监测到的AF患病率风险(调整后HR,95%CI)显著增加(调整后HR:1.34;95%CI:1.27 - 1.40;P<0.001),2021年开始监测的受试者中该风险更高(调整后HR:1.67;95%CI:1.59 - 1.76;P<0.001)。在961931名同时接受AF和阻塞性睡眠呼吸暂停(OSA)筛查的受试者中,18032名(1.9%,男性占97.8%,平均年龄44±17岁)被确定为OSA高风险,这导致AF患病率增加了1.5倍(95%CI:1.30倍至1.75倍)。共有5227名(53.3%,5227/9797)受试者得到有效随访,其中4903名(93.8%,4903/5227)受试者经mAFA远程医疗团队的医疗服务人员确诊为AF。
基于光电容积脉搏波描记术的智能设备有助于筛查AF,即使对于低风险普通人群,AF发作检测的确认率也>93%,凸显了检测到的AF患病率增加以及改善OSA以降低AF易感性的必要性。(用于改善心房颤动筛查、患者参与度和优化综合护理的移动健康[mHealth]技术[mAFA(mAF应用程序)II研究];ChiCTR - OOC - 17014138)