Use of remote monitoring and integrated platform for the evaluation of sleep quality in adult-onset idiopathic cervical dystonia

• Published in: Journal of neurology Vol. 270; no. 3; pp. 1759 - 1769
• Main Authors: Bailey, Grace A., Matthews, Clare, Szewczyk-krolikowski, Konrad, Moore, Peter, Komarzynski, Sandra, Davies, Elin Haf, Peall, Kathryn J.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023; Springer Nature B.V
• Subjects: Adult; Brain stem; Dystonia; Dystonic Disorders; Feasibility studies; Heart rate; Humans; Medicine; Medicine & Public Health; Neurology; Neuroradiology; Neurosciences; Neurotransmission; NREM sleep; Polysomnography; Short; Short Commentary; Sleep; Sleep - physiology; Sleep and wakefulness; Sleep Quality; Torticollis; Wearable Electronic Devices; Wrist; Sleep; Dystonia; Non-motor; Wearable devices; Accelerometry
• ISSN: 0340-5354; 1432-1459
• DOI: 10.1007/s00415-022-11490-4

Background Up to 70% of individuals diagnosed with adult-onset idiopathic focal cervical dystonia (AOIFCD) report difficulties with sleep. Larger cohort studies using wrist-worn accelerometer devices have emerged as an alternative to smaller polysomnography studies, in order to evaluate sleep architecture. Methods To measure activity during the sleep/wake cycle, individuals wore a consumer-grade wrist device (Garmin vivosmart 4) continuously over 7 days on their non-dominant wrist, while completing a daily sleep diary and standardised sleep and non-motor questionnaires via a dedicated app. Sleep measures were derived from the captured raw triaxial acceleration and heart rate values using previously published validated algorithms. Results Data were collected from 50 individuals diagnosed with AOIFCD and 47 age- and sex-matched controls. Those with AOIFCD self-reported significantly higher levels of excessive daytime sleepiness ( p  = 0.04) and impaired sleep quality ( p  = 0.03), while accelerometer measurements found the AOIFCD cohort to have significantly longer total sleep times ( p  = 0.004) and time spent in NREM sleep ( p  = 0.009), compared to controls. Overall, there was limited agreement between wearable-derived sleep parameters, and self-reported sleep diary and visual analogue scale records. Discussion This study shows the potential feasibility of using consumer-grade wearable devices in estimating sleep measures at scale in dystonia cohorts. Those diagnosed with AOIFCD were observed to have altered sleep architecture, notably longer total sleep time and NREM sleep, compared to controls. These findings suggest that previously reported disruptions to brainstem circuitry and serotonin neurotransmission may contribute to both motor and sleep pathophysiology.