Fabritz L, Connolly D L, Czarnecki E, Dudek D, Guasch E, Haase D, Huebner T, Zlahoda-Huzior A, Jolly K, Kirchhof P, Obergassel J, Schotten U, Vettorazzi E, Winkelmann S J, Zapf A, Schnabel R B
University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20251 Hamburg, Germany.
Department of Cardiology, University Heart and Vascular Center Hamburg, Martinistr. 52, 20251 Hamburg, Germany.
Eur Heart J Digit Health. 2022 Nov 1;3(4):610-625. doi: 10.1093/ehjdh/ztac067. eCollection 2022 Dec.
Simplified detection of atrial arrhythmias via consumer-electronics would enable earlier therapy in at-risk populations. Whether this is feasible and effective in older populations is not known.
The fully remote, investigator-initiated phone and wearable detected atrial arrhythmia lder dults ase finding study (Smart in OAC-AFNET 9) digitally enrolled participants ≥65 years without known atrial fibrillation, not receiving oral anticoagulation in Germany, Poland, and Spain for 8 weeks. Participants were invited by media communications and direct contacts. Study procedures adhered to European data protection. Consenting participants received a wristband with a photoplethysmography sensor to be coupled to their smartphone. The primary outcome was the detection of atrial arrhythmias lasting 6 min or longer in the first 4 weeks of monitoring. Eight hundred and eighty-two older persons (age 71 ± 5 years, range 65-90, 500 (57%) women, 414 (47%) hypertension, and 97 (11%) diabetes) recorded signals. Most participants (72%) responded to adverts or word of mouth, leaflets (11%) or general practitioners (9%). Participation was completely remote in 469/882 persons (53%). During the first 4 weeks, participants transmitted PPG signals for 533/696 h (77% of the maximum possible time). Atrial arrhythmias were detected in 44 participants (5%) within 28 days, and in 53 (6%) within 8 weeks. Detection was highest in the first monitoring week [incidence rates: 1st week: 3.4% (95% confidence interval 2.4-4.9); 2nd-4th week: 0.55% (0.33-0.93)].
Remote, digitally supported consumer-electronics-based screening is feasible in older European adults and identifies atrial arrhythmias in 5% of participants within 4 weeks of monitoring (NCT04579159).
通过消费电子产品简化房性心律失常的检测,将使高危人群能够更早接受治疗。但这在老年人群中是否可行且有效尚不清楚。
由研究者发起的完全远程的电话及可穿戴设备检测老年人心房性心律失常研究(Smart in OAC-AFNET 9)在德国、波兰和西班牙对≥65岁且无已知心房颤动、未接受口服抗凝治疗的参与者进行了为期8周的数字招募。参与者通过媒体宣传和直接联系被邀请。研究程序遵循欧洲数据保护规定。同意参与的参与者会收到一个配有光电容积脉搏波描记术传感器的腕带,并与他们的智能手机相连。主要结局是在监测的前4周内检测到持续6分钟或更长时间的房性心律失常。882名老年人(年龄71±5岁,范围65 - 90岁,500名(57%)女性,414名(47%)患有高血压,97名(11%)患有糖尿病)记录了信号。大多数参与者(72%)通过广告、口碑、传单(11%)或全科医生(9%)的介绍做出回应。469/882人(53%)的参与完全是远程的。在最初的4周内,参与者传输PPG信号的时长为533/696小时(占最大可能时长的77%)。在28天内,44名参与者(5%)检测到房性心律失常,8周内有53名(6%)检测到。在第一个监测周检测率最高[发病率:第1周:3.4%(95%置信区间2.4 - 4.9);第2 - 4周:0.55%(0.33 - 0.93)]。
基于消费电子产品的远程、数字支持筛查在欧洲老年成年人中是可行的,并且在监测4周内可识别5%参与者的房性心律失常(NCT04579159)。