Key result
Four-variable prognostic model predicts ~47% of variance in 1-year post-stroke mobility.
Cohort (n=217)
Yes
OBJECTIVE: To develop a prognostic model to predict mobility outcome one year post-stroke. DESIGN: Prospective cohort study in patients with a first-ever stroke admitted for inpatient rehabilitation. PATIENTS: A total of 217 patients with stroke (mean age 58 years) following inpatient rehabilitation in 4 rehabilitation centres across the Netherlands. METHODS: Mobility was measured using the Rivermead Mobility Index at one year poststroke. Included independent variables were: patient and stroke characteristics, functional status, urinary incontinence, sitting balance, motor and cognitive function. Univariate and multivariate linear regression analyses were performed in a model-developing set (n=174) and the model was validated in cross-validation set (n=43). RESULTS: Total Rivermead Mobility Index score at one year post-stroke was predicted by functional status, sitting balance, time between stroke onset and measurement, and age. The derived model predicted 48% of the variance, while validation in the cross-validation set resulted in an adjusted R(2) of 0.47. CONCLUSION: The present prospective study shows that outcome of mobility one year after stroke can be predicted validly by including functional status, sitting balance, moment of admission to the rehabilitation centre after stroke onset and age.
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Port et al. (2006) conducted a cohort in First-ever stroke admitted for inpatient rehabilitation (n=217). Clinical predictors (functional status, sitting balance, moment of admission after stroke onset, and age) was evaluated on Mobility measured by the Rivermead Mobility Index at one year post-stroke (adjusted R(2) of 0.47). A prognostic model including functional status, sitting balance, time from stroke onset to admission, and age validly predicted mobility one year after stroke (adjusted R(2) 0.47).
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