Objekt-Metadaten

Correlation of Quantitative Motor State Assessment Using a Kinetograph and Patient Diaries in Advanced PD
Ossig, Christiana ;  Gandor, Florin ;  Fauser, Mareike ;  Bosredon, Cecile ;  Churilov, Leonid ;  Reichmann, Heinz ;  Horne, Malcolm K. ;  Ebersbach, Georg ;  Storch, Alexander

HaupttitelCorrelation of Quantitative Motor State Assessment Using a Kinetograph and Patient Diaries in Advanced PD
TitelzusatzData from an Observational Study
AutorOssig, Christiana
AutorGandor, Florin
AutorFauser, Mareike
AutorBosredon, Cecile
AutorChurilov, Leonid
AutorReichmann, Heinz
AutorHorne, Malcolm K.
AutorEbersbach, Georg
AutorStorch, Alexander
Seitenzahl13 S.
DDC610 Medizin und Gesundheit
Auch erschienen inPLoS ONE. - 11 (2016), 8, Artikel Nr. e0161559
ZusammenfassungIntroduction

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.
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Fachbereich/EinrichtungMedizinische Fakultät Charité - Universitätsmedizin Berlin
Erscheinungsjahr2016
Dokumententyp/-SammlungenWissenschaftlicher Artikel
SpracheEnglisch
RechteCreative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Anmerkungen des AutorsDer Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
Erstellt am04.11.2016 - 09:08:00
Letzte Änderung04.11.2016 - 09:09:56
 
Statische URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000025670
DOI10.1371/journal.pone.0161559
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