dc.contributor.author
Ossig, Christiana
dc.contributor.author
Gandor, Florin
dc.contributor.author
Fauser, Mareike
dc.contributor.author
Bosredon, Cecile
dc.contributor.author
Churilov, Leonid
dc.contributor.author
Reichmann, Heinz
dc.contributor.author
Horne, Malcolm K.
dc.contributor.author
Ebersbach, Georg
dc.contributor.author
Storch, Alexander
dc.date.accessioned
2018-06-08T02:57:43Z
dc.date.available
2016-11-04T09:09:56.678Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/14211
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-18407
dc.description.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 κ: 0.215–0.324). Conclusion The
PKG has been shown to capture motor fluctuations in patients with advanced PD.
The limited correlation of hour-to-hour diary and PKG recordings should be
addressed in further studies.
en
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
Correlation of Quantitative Motor State Assessment Using a Kinetograph and
Patient Diaries in Advanced PD
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
PLoS ONE. - 11 (2016), 8, Artikel Nr. e0161559
dc.title.subtitle
Data from an Observational Study
dcterms.bibliographicCitation.doi
10.1371/journal.pone.0161559
dcterms.bibliographicCitation.url
http://dx.doi.org/10.1371/journal.pone.0161559
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000025670
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000007313
dcterms.accessRights.openaire
open access