Literature DB >> 26683743

How well do Parkinson's disease patients turn in bed? Quantitative analysis of nocturnal hypokinesia using multisite wearable inertial sensors.

Jirada Sringean1, Poonpak Taechalertpaisarn1, Chusak Thanawattano2, Roongroj Bhidayasiri3.   

Abstract

BACKGROUND: Nocturnal hypokinesia/akinesia is a distressing symptom in patients with Parkinson's disease (PD). However, it is difficult to accurately monitor these symptoms based on clinical interviews alone.
OBJECTIVES: To quantitatively compare nocturnal movements of PD patients with their spouses by using multisite inertial sensors and to correlate these parameters with disease severity scores.
METHODS: Nocturnal movements in 19 PD couples (mild-moderate stage) were assessed and compared using wearable sensors (limbs and trunk) for one night at their homes. Nocturnal parameters included number, velocity, acceleration, degree, and duration of rolling over, number of getting out of bed, and limb movements. Each activity was compared to sleep diary, and video recording for accuracy.
RESULTS: PD patients significantly had fewer rolling over (p = 0.048), turned with smaller degree (p = 0.007), less velocity (p = 0.011), and acceleration (p < 0.001), but had more episodes of getting out of bed (p = 0.03, nocturia) when compared to their spouses. Moderate and significant correlations were observed between the mean duration of rolling over and the Unified Parkinson's Disease Rating Scale-Axial score, and Nocturnal Akinesia Dystonia and Cramp Score. The number of leg movements (predominant side) significantly correlated with REM behavior disorder single-question screen. Episodes of nocturia correlated with total and bedtime levodopa equivalent dose. Several other correlations were also observed.
CONCLUSION: Our study was able to demonstrate quantitatively the presence of nocturnal hypokinesia in PD patients. This problem correlated with daytime axial motor and nonmotor symptoms. Treatment strategy for PD should be based on a comprehensive review of both day- and nighttime symptoms.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Getting out of bed; Nocturnal akinesia; Nocturnal hypokinesia; Parkinson's disease; Rolling over; Sensors

Mesh:

Year:  2015        PMID: 26683743     DOI: 10.1016/j.parkreldis.2015.11.003

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  11 in total

Review 1.  Using wearables to assess bradykinesia and rigidity in patients with Parkinson's disease: a focused, narrative review of the literature.

Authors:  Itay Teshuva; Inbar Hillel; Eran Gazit; Nir Giladi; Anat Mirelman; Jeffrey M Hausdorff
Journal:  J Neural Transm (Vienna)       Date:  2019-05-22       Impact factor: 3.575

Review 2.  Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature.

Authors:  Stefania Ancona; Francesca D Faraci; Elina Khatab; Luigi Fiorillo; Oriella Gnarra; Tobias Nef; Claudio L A Bassetti; Panagiotis Bargiotas
Journal:  J Neurol       Date:  2021-01-06       Impact factor: 4.849

3.  Determinants of impaired bed mobility in Parkinson's disease: Impact of hip muscle strength and motor symptoms.

Authors:  Seira Taniguchi; Nicholas D'cruz; Miho Nakagoshi; Toshinori Osaki; Alice Nieuwboer
Journal:  NeuroRehabilitation       Date:  2022       Impact factor: 1.986

4.  Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment.

Authors:  Catherine Morgan; Michal Rolinski; Roisin McNaney; Bennet Jones; Lynn Rochester; Walter Maetzler; Ian Craddock; Alan L Whone
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

5.  Assessment of real life eating difficulties in Parkinson's disease patients by measuring plate to mouth movement elongation with inertial sensors.

Authors:  Konstantinos Kyritsis; Petter Fagerberg; Ioannis Ioakimidis; K Ray Chaudhuri; Heinz Reichmann; Lisa Klingelhoefer; Anastasios Delopoulos
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

6.  Social listening - revealing Parkinson's disease over day and night.

Authors:  Hui Zhang; Fanwen Meng; Xingyu Li; Yali Ning; Meng Cai
Journal:  BMC Neurol       Date:  2021-01-04       Impact factor: 2.474

Review 7.  Clinical Applications of Mobile Health Wearable-Based Sleep Monitoring: Systematic Review.

Authors:  Elise Guillodo; Christophe Lemey; Mathieu Simonnet; Michel Walter; Enrique Baca-García; Vincent Masetti; Sorin Moga; Mark Larsen; Juliette Ropars; Sofian Berrouiguet
Journal:  JMIR Mhealth Uhealth       Date:  2020-04-01       Impact factor: 4.773

Review 8.  Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies.

Authors:  Alessandro Zampogna; Alessandro Manoni; Francesco Asci; Claudio Liguori; Fernanda Irrera; Antonio Suppa
Journal:  Sensors (Basel)       Date:  2020-09-10       Impact factor: 3.576

9.  Acute effects of adaptive Deep Brain Stimulation in Parkinson's disease.

Authors:  Dan Piña-Fuentes; J Marc C van Dijk; Jonathan C van Zijl; Harmen R Moes; Teus van Laar; D L Marinus Oterdoom; Simon Little; Peter Brown; Martijn Beudel
Journal:  Brain Stimul       Date:  2020-07-29       Impact factor: 8.955

Review 10.  The Home-Based Sleep Laboratory.

Authors:  Yael Hanein; Anat Mirelman
Journal:  J Parkinsons Dis       Date:  2021       Impact factor: 5.568

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