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

Author:

Gnarra Oriella12ORCID,van der Meer Julia1ORCID,Warncke Jan D1ORCID,Fregolente Livia G13,Wenz Elena13ORCID,Zub Kseniia1,Nwachukwu Uchendu1,Zhang Zhongxing34ORCID,Khatami Ramin134,von Manitius Sigrid45,Miano Silvia56,Acker Jens67,Strub Mathias78,Riener Robert289,Bassetti Claudio L A1,Schmidt Markus H1910ORCID

Affiliation:

1. Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern , Bern , Switzerland

2. Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich , Switzerland

3. Graduate School of Health Sciences, University of Bern , Bern , Switzerland

4. Clinic Barmelweid, Center for Sleep Medicine and Sleep Research , Barmelweid , Switzerland

5. Department of Neurology , Kantonsspital St. Gallen, St. Gallen , Switzerland

6. Neurocenter of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Sleep Medicine Unit, Ospedale Civico , Lugano , Switzerland

7. Clinic for Sleep Medicine , Bad Zurzach , Switzerland

8. Zentrum für Schlafmedizin Basel , Basel , Switzerland

9. Spinal Cord Injury Center, University Hospital Balgrist , Zurich , Switzerland

10. Ohio Sleep Medicine Institute , Dublin , USA

Abstract

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.

Funder

Swiss National Science Foundation

UCB Biopharma SRL

Jazz Pharmaceuticals

Publisher

Oxford University Press (OUP)

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