Literature DB >> 27160044

Night-time sleep in Parkinson's disease - the potential use of Parkinson's KinetiGraph: a prospective comparative study.

L Klingelhoefer1,2, A Rizos2, A Sauerbier2, S McGregor3, P Martinez-Martin4, H Reichmann1, M Horne3,5, K R Chaudhuri2.   

Abstract

BACKGROUND AND
PURPOSE: Night-time sleep disturbances are important non-motor symptoms and key determinants of health-related quality of life (HRQoL) in patients with Parkinson's disease (PD). The Parkinson's KinetiGraph (PKG) can be used as an objective measure of different motor states and periods of immobility may reflect episodes of sleep. Our aim was to evaluate whether PKG can be used as an objective marker of disturbed night-time sleep in PD.
METHODS: In this prospective comparative study, data from PKG recordings over six consecutive 24 h periods are compared with Hauser diaries and scales focusing on motor state, sleep and HRQoL in PD patients. Thirty-three 'non-sleepy' PD patients (PD-NS) were compared with 30 PD patients presenting with excessive daytime sleepiness (PD-EDS). The groups were matched for age, gender and Hoehn and Yahr state.
RESULTS: In the PD-EDS group subjective sleep reports correlated with the PKG's parameters for quantity and quality night-time sleep, but not in the PD-NS group. There were no significant correlations of the night-time sleep quantity parameters of the Hauser diary with subjective sleep perception, neither in the PD-EDS nor in the PD-NS group.
CONCLUSIONS: This first PKG based study of night-time sleep in PD suggests that PKG could be used to provide an easy to use and rough evaluation of aspects of night-time sleep and one that could flag patients where polysomnography may be required. In sleepy PD patients for instance, quantity and quality PKG parameters correlate with different aspects of sleep such as insomnia, parasomnia and restless legs syndrome.
© 2016 EAN.

Entities:  

Keywords:  Parkinson's KinetiGraph; Parkinson's disease; actigraphy; non-motor symptoms; sleep

Mesh:

Year:  2016        PMID: 27160044     DOI: 10.1111/ene.13015

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  12 in total

1.  The use of accelerometry as a tool to measure disturbed nocturnal sleep in Parkinson's disease.

Authors:  Sarah McGregor; Philip Churchward; Katarzyna Soja; Denise O'Driscoll; Michelle Braybrook; Hamid Khodakarami; Andrew Evans; Parisa Farzanehfar; Garun Hamilton; Malcolm Horne
Journal:  NPJ Parkinsons Dis       Date:  2018-01-10

2.  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

3.  Qualitative Evaluation of the Personal KinetiGraphTM Movement Recording System in a Parkinson's Clinic.

Authors:  Anthony Santiago; James W Langston; Rita Gandhy; Rohit Dhall; Salima Brillman; Linda Rees; Carrolee Barlow
Journal:  J Parkinsons Dis       Date:  2019       Impact factor: 5.568

4.  Non-motor correlates of wrist-worn wearable sensor use in Parkinson's disease: an exploratory analysis.

Authors:  Daniel J van Wamelen; Shweta Hota; Aleksandra Podlewska; Valentina Leta; Dhaval Trivedi; Alexandra Rizos; Miriam Parry; K Ray Chaudhuri
Journal:  NPJ Parkinsons Dis       Date:  2019-10-02

5.  A blinded, controlled trial of objective measurement in Parkinson's disease.

Authors:  Holly Woodrow; Malcolm K Horne; Chathurini V Fernando; Katya E Kotschet
Journal:  NPJ Parkinsons Dis       Date:  2020-11-20

6.  Associations Between Fluctuations in Daytime Sleepiness and Motor and Non-Motor Symptoms in Parkinson's Disease.

Authors:  Arja Höglund; Peter Hagell; Jan-Erik Broman; Sven Pålhagen; Kimmo Sorjonen; Sten Fredrikson; Per Svenningsson
Journal:  Mov Disord Clin Pract       Date:  2020-10-26

7.  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

Review 8.  Technologies Assessing Limb Bradykinesia in Parkinson's Disease.

Authors:  Hasan Hasan; Dilan S Athauda; Thomas Foltynie; Alastair J Noyce
Journal:  J Parkinsons Dis       Date:  2017       Impact factor: 5.568

Review 9.  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

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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