Document Detail


Time-course of changes in arm impairment after stroke: variables predicting motor recovery over 12 months.
MedLine Citation:
PMID:  18586221     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVES: To characterize the time-course of changes in motor recovery in the upper extremity of hemiparetic stroke survivors over a 1-year interval after stroke, and to use kinematic and kinetic recordings of elbow voluntary movement at 1 month to predict recovery over this 1-year period. DESIGN: Motor impairment was assessed using the Fugl-Meyer Assessment (FMA) of the upper extremity. The angular elbow movement trajectory and its derivatives were recorded. Limb kinetics were quantified using maximum voluntary contractions. Subjects were examined at 1, 2, 3, 6, and 12 months after stroke. The growth mixture model was used to characterize the recovery patterns of the FMA over 1 year, and a logistic regression analysis was used to predict these patterns with the kinematic and kinetic measures recorded at 1 month. SETTING: A hospital-based laboratory with a movement testing system including position and torque sensors. PARTICIPANTS: Hemiparetic stroke survivors (N=20) with upper-extremity impairment recruited within 4 weeks poststroke. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Kinematic parameters, including active range of motion, peak velocity, peak acceleration, movement smoothness, and movement speed; kinetic parameters, including isometric voluntary contraction of elbow extensors and flexors; and clinical measurement of motor impairment (FMA). RESULTS: We found 2 classes of recovery patterns. Class 1 subjects started with a low-level FMA score and then increased quickly before tapering off gradually. Conversely, class 2 subjects started with a high-level FMA score that remained constant or increased slightly. Using logistic regression, the impact of each kinematic and kinetic measure on class membership was characterized. The class assignment helped predict the recovery pattern of motor impairment for each subject. CONCLUSIONS: Using elbow kinematic and kinetic measures 1 month after stroke, we were able to predict accurately the recovery of arm impairment in subjects with hemiparetic stroke at different time points in the first year. This information is of potential value for planning targeted therapeutic interventions.
Authors:
Mehdi M Mirbagheri; W Zev Rymer
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2008-06-30
Journal Detail:
Title:  Archives of physical medicine and rehabilitation     Volume:  89     ISSN:  1532-821X     ISO Abbreviation:  Arch Phys Med Rehabil     Publication Date:  2008 Aug 
Date Detail:
Created Date:  2008-08-04     Completed Date:  2008-08-06     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985158R     Medline TA:  Arch Phys Med Rehabil     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1507-13     Citation Subset:  AIM; IM    
Affiliation:
Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611, USA. Mehdi@northwestern.edu
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Arm / physiopathology*
Biomechanics
Confidence Intervals
Disability Evaluation
Elbow / physiopathology
Female
Humans
Isometric Contraction
Logistic Models
Male
Middle Aged
Movement Disorders / etiology,  physiopathology,  rehabilitation*
Paresis / etiology,  physiopathology,  rehabilitation*
Range of Motion, Articular
Recovery of Function*
Stroke / complications,  rehabilitation*
Grant Support
ID/Acronym/Agency:
1 R21 NS45005-01A1/NS/NINDS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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