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

被引:1
|
作者
Gnarra, Oriella [1 ,2 ,11 ]
van der Meer, Julia [1 ]
Warncke, Jan D. [1 ]
Fregolente, Livia G. [1 ,3 ]
Wenz, Elena [1 ,3 ]
Zub, Kseniia [1 ]
Nwachukwu, Uchendu [1 ]
Zhang, Zhongxing [4 ]
Khatami, Ramin [1 ,3 ,4 ]
von Manitius, Sigrid [4 ,5 ]
Miano, Silvia [5 ,6 ]
Acker, Jens [6 ,7 ]
Strub, Mathias [7 ,8 ]
Riener, Robert [2 ,7 ,8 ,9 ]
Bassetti, Claudio L. A. [1 ]
Schmidt, Markus H. [1 ,9 ,10 ]
机构
[1] Univ Bern, Bern Univ Hosp, Inselspital, Dept Neurol,Sleep Wake Epilepsy Ctr,NeuroTec, Bern, Switzerland
[2] Swiss Fed Inst Technol, Inst Robot & Intelligent Syst, Dept Hlth Sci & Technol, Sensory Motor Syst Lab, Zurich, Switzerland
[3] Univ Bern, Grad Sch Hlth Sci, Bern, Switzerland
[4] Clin Barmelweid, Ctr Sleep Med & Sleep Res, Barmelweid, Switzerland
[5] Kantonsspital St Gallen, Dept Neurol, St Gallen, Switzerland
[6] Univ Svizzera Italiana, Osped Civ, Fac Biomed Sci, Sleep Med Unit,Neuroctr Southern Switzerland, Lugano, Switzerland
[7] Clin Sleep Med, Bad Zurzach, Switzerland
[8] Zentrum Schlafmedizin Basel, Basel, Switzerland
[9] Univ Hosp Balgrist, Spinal Cord Injury Ctr, Zurich, Switzerland
[10] Ohio Sleep Med Inst, Dublin, OH USA
[11] Freiburgstr 3, CH-3010 Bern, Switzerland
基金
瑞士国家科学基金会;
关键词
digital biomarkers; hypersomnolence; narcolepsy; telemonitoring; wearables; SLEEP LATENCY; POLYSOMNOGRAPHY; VALIDATION; ACTIGRAPHY;
D O I
10.1093/sleep/zsae083
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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. Graphical Abstract
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页数:13
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