The Swiss Primary Hypersomnolence and Narcolepsy Cohort Study: feasibility of long-term monitoring with Fitbit smartwatches in central disorders of hypersomnolence and extraction of digital biomarkers in narcolepsy.

IF 5.6 2区 医学 Q1 Medicine
Sleep Pub Date : 2024-09-09 DOI:10.1093/sleep/zsae083
Oriella Gnarra, Julia van der Meer, Jan D Warncke, Livia G Fregolente, Elena Wenz, Kseniia Zub, Uchendu Nwachukwu, Zhongxing Zhang, Ramin Khatami, Sigrid von Manitius, Silvia Miano, Jens Acker, Mathias Strub, Robert Riener, Claudio L A Bassetti, Markus H Schmidt
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引用次数: 0

Abstract

The Swiss Primary Hypersomnolence and Narcolepsy Cohort Study (SPHYNCS) is a multicenter research initiative to identify new biomarkers in central disorders of hypersomnolence (CDH). Whereas narcolepsy type 1 (NT1) is well characterized, other CDH disorders lack precise biomarkers. In SPHYNCS, we utilized Fitbit smartwatches to monitor physical activity, heart rate, and sleep parameters over 1 year. We examined the feasibility of long-term ambulatory monitoring using the wearable device. We then explored digital biomarkers differentiating patients with NT1 from healthy controls (HC). A total of 115 participants received a Fitbit smartwatch. Using a adherence metric to evaluate the usability of the wearable device, we found an overall adherence rate of 80% over 1 year. We calculated daily physical activity, heart rate, and sleep parameters from 2 weeks of greatest adherence to compare NT1 (n = 20) and HC (n = 9) participants. Compared to controls, NT1 patients demonstrated findings consistent with increased sleep fragmentation, including significantly greater wake-after-sleep onset (p = .007) and awakening index (p = .025), as well as standard deviation of time in bed (p = .044). Moreover, NT1 patients exhibited a significantly shorter REM latency (p = .019), and sleep latency (p = .001), as well as a lower peak heart rate (p = .008), heart rate standard deviation (p = .039) and high-intensity activity (p = .009) compared to HC. This ongoing study demonstrates the feasibility of long-term monitoring with wearable technology in patients with CDH and potentially identifies a digital biomarker profile for NT1. While further validation is needed in larger datasets, these data suggest that long-term wearable technology may play a future role in diagnosing and managing narcolepsy.

SPHYNCS:使用 Fitbit 智能手表对中枢性嗜睡症进行长期监测并提取嗜睡症数字生物标志物的可行性。
瑞士原发性嗜睡症和嗜睡症队列研究(SPHYNCS)是一项多中心研究计划,旨在确定中枢性嗜睡症(CDH)的新生物标志物。虽然 1 型嗜睡症(NT1)的特征十分明确,但其他 CDH 疾病却缺乏精确的生物标志物。在 SPHYNCS 中,我们利用 Fitbit 智能手表监测了一年的体力活动、心率和睡眠参数。我们研究了使用可穿戴设备进行长期动态监测的可行性。然后,我们探索了区分 NT1 患者和健康对照组(HC)的数字生物标志物。共有 115 名参与者获得了 Fitbit 智能手表。我们使用依从性指标来评估可穿戴设备的可用性,发现一年内的总体依从率为 80%。我们计算了符合率最高的两周内的每日体力活动、心率和睡眠参数,并对 NT1(20 人)和 HC(9 人)受试者进行了比较。与对照组相比,NT1 患者表现出与睡眠碎片增加一致的结果,包括睡眠开始后醒来次数(p=0.007)和觉醒指数(p=0.025)以及卧床时间标准偏差(p=0.044)显著增加。此外,与 HC 相比,NT1 患者的快速眼动潜伏期(p=0.019)和睡眠潜伏期(p=0.001)明显缩短,峰值心率(p=0.008)、心率标准偏差(p=0.039)和高强度活动(p=0.009)也更低。这项正在进行的研究证明了利用可穿戴技术对 CDH 患者进行长期监测的可行性,并有可能确定 NT1 的数字生物标志物特征。虽然还需要在更大的数据集中进行进一步验证,但这些数据表明,长期可穿戴技术未来可能会在嗜睡症的诊断和管理中发挥作用。
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来源期刊
Sleep
Sleep Medicine-Neurology (clinical)
CiteScore
8.70
自引率
10.70%
发文量
0
期刊介绍: SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.
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