Correlation of quantitative motor state assessment using a kinetograph and patient diaries in advanced PD: Data from an observational study

Ossig, C, Gandor, F, Fauser, M, Bosredon, C, Churilov, L, Reichmann, H, Horne, M, Ebersbach, G and Storch, A 2016, 'Correlation of quantitative motor state assessment using a kinetograph and patient diaries in advanced PD: Data from an observational study', PLoS ONE, vol. 11, no. 8, pp. 1-13.


Document type: Journal Article
Collection: Journal Articles

Title Correlation of quantitative motor state assessment using a kinetograph and patient diaries in advanced PD: Data from an observational study
Author(s) Ossig, C
Gandor, F
Fauser, M
Bosredon, C
Churilov, L
Reichmann, H
Horne, M
Ebersbach, G
Storch, A
Year 2016
Journal name PLoS ONE
Volume number 11
Issue number 8
Start page 1
End page 13
Total pages 13
Publisher Public Library of Science
Abstract Introduction Effective management and development of new treatment strategies for response fluctuations in advanced Parkinson's disease (PD) largely depends on clinical rating instruments such as the PD home diary. The Parkinson's kinetigraph (PKG) measures movement accelerations and analyzes the spectral power of the low frequencies of the accelerometer data. New algorithms convert each hour of continuous PKG data into one of the three motor categories used in the PD home diary, namely motor Off state and On state with and without dyskinesia. Objective To compare quantitative motor state assessment in fluctuating PD patients using the PKG with motor state ratings from PD home diaries. Methods Observational cohort study on 24 in-patients with documented motor fluctuations who completed diaries by rating motor Off, On without dyskinesia, On with dyskinesia, and asleep for every hour for 5 consecutive days. Simultaneously collected PKG data (recorded between 6 am and 10 pm) were analyzed and calibrated to the patient's individual thresholds for Off and dyskinetic state by novel algorithms classifying the continuous accelerometer data into these motor states for every hour between 6 am and 10 pm. Results From a total of 2,040 hours, 1,752 hours (87.4%) were available for analyses from calibrated PKG data (7.5% sleeping time and 5.1% unclassified motor state time were excluded from analyses). Distributions of total motor state hours per day measured by PKG showed moderate-to-strong correlation to those assessed by diaries for the different motor states (Pearson's correlations coefficients: 0.404-0.658), but inter-rating method agreements on the single-hour-level were only low-to-moderate (Cohen's ?: 0.215-0.324). Conclusion The PKG has be
Subject Medical and Health Sciences not elsewhere classified
DOI - identifier 10.1371/journal.pone.0161559
Copyright notice © 2016 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
ISSN 1932-6203
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