Document Detail


A study of subtle motor signs in early Parkinson's disease.
MedLine Citation:
PMID:  23032728     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND: The UPDRS is the most widely used rating scale for Parkinson's disease (PD). However, subtle features of early disease stages may be missed. METHODS: We studied 25 early PD patients using a newly compiled battery of motor tests focusing on subtle motor features. Focal dystonia patients (n = 31) and healthy individuals (n = 26) served as controls. Specifically, asymmetric shoulder null position and delayed shoulder shrugs, reduced arm swing, subtle tremor, and timed finger taps were assessed. Spiral drawings and writing were also studied. RESULTS: With a total mean of 9.8 ± 4.9 (possible range: 0-94), PD patients scored significantly higher than dystonia patients (2.9 ± 2.0) and healthy controls (1.9 ± 2.0) (P < 0.001). Reduced arm swing and tremor of individual fingers best distinguished PD from the other groups. CONCLUSIONS: The battery was sensitive to detect subtle motor features missed by the UPDRS. For future revisions of an international motor score, further assessment of these items may be worthwhile. © 2012 Movement Disorder Society.
Authors:
Susanne A Schneider; Laura Drude; Meike Kasten; Christine Klein; Johann Hagenah
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-2
Journal Detail:
Title:  Movement disorders : official journal of the Movement Disorder Society     Volume:  -     ISSN:  1531-8257     ISO Abbreviation:  Mov. Disord.     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-3     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8610688     Medline TA:  Mov Disord     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Movement Disorder Society.
Affiliation:
Section of Clinical and Molecular Neurogenetics at the Department of Neurology, University of Lübeck, Lübeck, Germany. christine.klein@neuro.uni-luebeck.de.
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