Publication
Title
Prediction of upper limb recovery, general disability, and rehabilitation status by activity measurements assessed by accelerometers or the Fugl-Meyer score in acute stroke
Author
Abstract
Objective: This study investigated the clinical predictive value of the Fugl-Meyer Assessment (FMA) arm score and the upper limb activity assessed by accelerometers in patients with hemiparesis after acute stroke. Design: The prospective cohort (n = 129) was recruited from a general hospital; activity variables and FMA score at intake were related to the FMA, the modified Rankin Scale, and rehabilitation status after 3 mos of follow-up. The prediction model was based on binary logistic regression. Results: Although the FMA score at intake has the best overall predictive value for all three outcome measures (FMA3, 87.6%; modified Rankin Scale, 85.3%; RS, 73.6%), the activity of the impaired arm as assessed by the accelerometer has the best predictive value to determine patients who are at risk for continued disability (modified Rankin Scale score 1, 95.1%). The most difficult outcome measure for prediction is the rehabilitation status; specifically, the patients who went home are predicted imprecisely. The ratio variable is the least accurate predictor of all tested variables. Conclusions: The FMA arm score at intake is the best predictor for arm recovery and general disability. The activity of the impaired arm is an excellent predictor for prolonged disability and is an alternative to the FMA score when it is impossible to score the FMA in the acute phase of stroke.
Language
English
Source (journal)
American journal of physical medicine and rehabilitation. - Baltimore, Md
Publication
Baltimore, Md : 2014
ISSN
0894-9115
Volume/pages
93:3(2014), p. 245-252
ISI
000331707400006
Full text (Publishers DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 13.01.2014
Last edited 26.05.2017
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