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dc.contributor.author
Gnarra, Oriella
dc.contributor.author
van der Meer, Julia
dc.contributor.author
Warncke, Jan D.
dc.contributor.author
Fregolente, Livia G.
dc.contributor.author
Wenz, Elena
dc.contributor.author
Zub, Kseniia
dc.contributor.author
Nwachukwu, Uchendu
dc.contributor.author
Zhang, Zhongxing
dc.contributor.author
Khatami, Ramin
dc.contributor.author
von Manitius, Sigrid
dc.contributor.author
Miano, Silvia
dc.contributor.author
Acker, Jens
dc.contributor.author
Strub, Mathias
dc.contributor.author
Riener, Robert
dc.contributor.author
Bassetti, Claudio L.A.
dc.contributor.author
Schmidt, Markus H.
dc.date.accessioned
2024-09-19T10:39:37Z
dc.date.available
2024-04-27T06:58:56Z
dc.date.available
2024-04-29T12:32:24Z
dc.date.available
2024-09-19T10:39:37Z
dc.date.issued
2024-09
dc.identifier.issn
1550-9109
dc.identifier.issn
0161-8105
dc.identifier.other
10.1093/sleep/zsae083
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/670463
dc.description.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 fndings consistent with increased sleep fragmentation, including signifcantly 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 signifcantly 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 identifes a digital biomarker profle 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
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.subject
digital biomarkers
en_US
dc.subject
hypersomnolence
en_US
dc.subject
narcolepsy
en_US
dc.subject
telemonitoring
en_US
dc.subject
wearables
en_US
dc.title
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
en_US
dc.type
Journal Article
dc.date.published
2024-03-29
ethz.journal.title
Sleep
ethz.journal.volume
47
en_US
ethz.journal.issue
9
en_US
ethz.journal.abbreviated
SLEEPJ
ethz.pages.start
zsae083
en_US
ethz.size
13 p.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.status
published
en_US
ethz.date.deposited
2024-04-27T06:59:03Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2024-09-19T10:39:38Z
ethz.rosetta.lastUpdated
2024-09-19T10:39:38Z
ethz.rosetta.versionExported
true
ethz.COinS
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