五款直接面向消费者的智能手表在现实世界患者队列中检测心房颤动的临床验证

D. Mannhart, E. Hennings, ML Lischer, DV Voegeli, J. Du Fay De Lavallaz, S. Knecht, B. Schaer, S. Osswald, M. Kuehne, C. Sticherling, P. Badertscher
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引用次数: 0

摘要

资金来源类型:无。心房颤动(AF)是最常见的心律失常,估计一生中有四分之一的风险。目前有多款智能手表可以“屏幕”自动对焦。检测心房颤动的灵敏度和特异性在现有的智能手表之间可能有所不同,但这还没有得到充分的研究。在一项前瞻性观察性研究中,我们招募了在三级转诊中心心脏病科就诊的患者。本研究的目的是评估和比较五款智能手表(Apple Watch 6, AliveCor Kardia Mobile, Fitbit Sense, Samsung Galaxy Watch 3和Withings Scanwatch)在识别房颤方面的准确性,并将其与几乎同时获得的医生解释的12导联心电图进行比较。每位患者至少使用4/5块智能手表进行评估。次要目的是通过预先定义的问卷评估患者使用智能手表的偏好。我们前瞻性地纳入163例患者(32.9%为女性,平均年龄64.7岁)。记录时47例(30.3%)患者存在房颤。我们纳入了155例患者,有4或5个单独的记录进行进一步分析。智能手表之间检测AF的灵敏度和特异性相似:Apple Watch 6为90%和95%,AliveCor Kardia Mobile为97%和96%,Fitbit Sense为86%和100%,三星Galaxy Watch 3为97%和91%,Withings Scanwatch为91%和95%(图1)。在Apple Watch 6、AliveCor Kardia Mobile、Fitbit Sense、三星Galaxy Watch 3和Withings Scanwatch中,不确定追踪率(即算法无法确定心律)分别为17%、26%、21%、20%和24%。在来自所有设备的不确定的单个跟踪中,63个跟踪(40%)是由于高或低心率引起的,50个跟踪(31%)是由于运动伪影引起的。不确定的记录由盲法心脏病专家解释,以确定这些追踪是否仍然在临床上有用。通过人工复核,741例单导联心电图中98.8%的人可以确定心律。在患者接受度方面,当患者被问及首选的日常节律监测设备时,Apple Watch排名第一(37%),AliveCor Kardia Mobile排名最后(7.6%)。在对五款直接面向消费者的智能手表的临床验证中,我们发现所有被评估的智能手表的诊断准确性都很高。我们在不确定的追踪数量上发现了差异。在临床环境中,在所有被评估的智能手表中,大约四分之一的病例需要人工检查追踪。此外,患者对不同智能手表的感知也存在差异。这些智能手表的临床验证研究可能有助于更好地为患者和医生提供日常使用单导联心电图设备的使用和有效性建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical validation of five direct-to-consumer smartwatches to detect atrial fibrillation in a real-world cohort of patients
Type of funding sources: None. Atrial fibrillation (AF) is the most common cardiac arrhythmia with an estimated lifetime risk of one in four. Multiple smartwatches capable to "screen" AF are presently available. The sensitivity and specificity for the detection of AF may differ between the available smartwatches, but this has not yet been adequately investigated. We enrolled patients presenting to a cardiology service at a tertiary referral center in a prospective, observational study. The aim of this study was to assess and compare the accuracy of five smartwatches (Apple Watch 6, AliveCor Kardia Mobile, Fitbit Sense, Samsung Galaxy Watch 3 and Withings Scanwatch) in identifying AF compared to a nearly simultaneously acquired physician-interpreted 12-lead ECG in a real world cohort of patients. Each patient was assessed with at least 4/5 smartwatches. Secondary objective was to assess patient preference using smartwatches via predefined questionnaire. We prospectively enrolled 163 patients (32.9% female, mean age 64.7 years). AF was present in 47 patients (30.3%) at time of recording. We included 155 patients with 4 or 5 individual recordings for further analysis. Sensitivity and specificity for the detection of AF was similar between smartwatches: 90% and 95% for the Apple Watch 6, 97% and 96% for the AliveCor Kardia Mobile, 86% and 100% for the Fitbit Sense, 97% and 91% for the Samsung Galaxy Watch 3 and 91% and 95% for the Withings Scanwatch, respectively (Figure1). The rate of inconclusive tracings, meaning the algorithm was not able to determine the heart rhythm, was 17%, 26%, 21%, 20% and 24% for the Apple Watch 6, AliveCor Kardia Mobile, Fitbit Sense, Samsung Galaxy Watch 3 and Withings Scanwatch, respectively. Among inconclusive individual tracings from all devices, 63 tracings (40%) were due to high or low heart rate and 50 tracings (31%) due to motion artifacts. The inconclusive recordings were interpreted by blinded cardiologists to determine if these tracings are still clinically useful. By manual review the rhythm could be determined in 98.8% of 741 total individual recorded single-lead ECGs. Regarding patient acceptance, the Apple Watch was ranked first (37%) and the AliveCor Kardia Mobile last (7.6%) when patients were asked about their preferred device for daily rhythm monitoring. In this clinical validation of five direct-to-consumer smartwatches we found a high diagnostic accuracy among all assessed smartwatches. We found differences in the amount of inconclusive tracings. In a clinical setting manual review of tracings is required in about one fourth of cases for all assessed smartwatches. In addition, patient’s perception differed between smartwatches. This clinical validation study of these smartwatches may help to better advice patients and physicians in the usage and validity of single-lead ECG-devices for everyday use.
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