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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.
Gnarra, Oriella; van der Meer, Julia; Warncke, Jan D; Fregolente, Livia G; Wenz, Elena; Zub, Kseniia; Nwachukwu, Uchendu; Zhang, Zhongxing; Khatami, Ramin; von Manitius, Sigrid; Miano, Silvia; Acker, Jens; Strub, Mathias; Riener, Robert; Bassetti, Claudio L A; Schmidt, Markus H.
Afiliación
  • Gnarra O; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • van der Meer J; Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Switzerland.
  • Warncke JD; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Fregolente LG; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Wenz E; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Zub K; Graduate School of Health Sciences, University of Bern, Bern, Switzerland.
  • Nwachukwu U; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Zhang Z; Graduate School of Health Sciences, University of Bern, Bern, Switzerland.
  • Khatami R; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • von Manitius S; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Miano S; Graduate School of Health Sciences, University of Bern, Bern, Switzerland.
  • Acker J; Clinic Barmelweid, Center for Sleep Medicine and Sleep Research, Barmelweid, Switzerland.
  • Strub M; Sleep-Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Riener R; Graduate School of Health Sciences, University of Bern, Bern, Switzerland.
  • Bassetti CLA; Clinic Barmelweid, Center for Sleep Medicine and Sleep Research, Barmelweid, Switzerland.
  • Schmidt MH; Clinic Barmelweid, Center for Sleep Medicine and Sleep Research, Barmelweid, Switzerland.
Sleep ; 47(9)2024 Sep 09.
Article en En | MEDLINE | ID: mdl-38551123
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Biomarcadores / Estudios de Factibilidad / Dispositivos Electrónicos Vestibles / Narcolepsia Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Sleep Año: 2024 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Biomarcadores / Estudios de Factibilidad / Dispositivos Electrónicos Vestibles / Narcolepsia Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Sleep Año: 2024 Tipo del documento: Article País de afiliación: Suiza