Published online before print May 12, 2005, doi: 10.1161/01.STR.0000165922.96430.d0
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(Stroke. 2005;36:1172.)
© 2005 American Heart Association, Inc.
Original Contributions |
Active Finger Extension Predicts Outcomes After Constraint-Induced Movement Therapy for Individuals With Hemiparesis After Stroke
From the Brain Rehabilitation Research Center (S.L.F., A.L.B., S.B.D.), Gainesville VA Medical Center, Veterans Affairs Rehabilitation Research and Development (VA RR&D), Gainesville, Fla; the Department of Exercise Science (S.L.F.), University of South Carolina, Columbia, SC; University of Florida Department of Physical Therapy (S.L.F., K.E.L., T.S.P., A.L.B.), Gainesville, Fla.
Correspondence to Stacy L. Fritz, PhD, PT, 1300 Wheat St, Blatt PE Bldg, Dept of Exercise Science Columbia, SC 29208. E-mail sfritz{at}gwm.sc.edu
Background and Purpose— Constraint-induced movement therapy (CIMT) is a rehabilitative strategy used primarily with the post-stroke population to increase the functional use of the neurologically weaker upper extremity through massed practice while restraining the lesser involved upper extremity. Whereas research evidence supports CIMT, limited evidence exists regarding the characteristics of individuals who benefit most from this intervention. The goal of this study was to investigate the potential of 5 measures to predict functional CIMT outcomes.
Methods— A convenience sample of 55 individuals, >6 months after stroke, was recruited that met specific inclusion/exclusion criteria allowing for individuals whose upper extremity was mildly to severely involved. They participated in CIMT 6 hours per day. Pretest, post-test, and follow-up assessments were performed to assess the outcomes for the Wolf Motor Function Test (WMFT). The potential predictors were minimal motor criteria (active extension of the wrist and 3 fingers), active finger extension/grasp release, grip strength, Fugl–Meyer upper extremity motor score, and the Frenchay score. A step-wise regression analysis was used in which the potential predictors were entered in a linear regression model with simultaneous entry of the dependent variables’ pretest score as the covariate. Two regressions models were determined for the dependent variable, for immediate post-test, and for follow-up post-test.
Results— Finger extension was the only significant predictor of WMFT outcomes.
Conclusions— When using finger extension/grasp release as a predictor in the regression equations, one can predict individual’s follow-up scores for CIMT. This experiment provides the most comprehensive investigation of predictors of CIMT outcomes to date.
Key Words: motor activity • physical therapy • rehabilitation • stroke outcome
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