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Related Experiment Videos

Predicting mobility outcome one year after stroke: a prospective cohort study.

Ingrid G L van de Port1, Gert Kwakkel, Vera P M Schepers

  • 1Centre of Excellence for Rehabilitation Medicine Utrecht, Rehabilitation Centre De Hoogstraat, Utrecht, The Netherlands. i.v.d.port@dehoogstraat.nl

Journal of Rehabilitation Medicine
|June 28, 2006
PubMed
Summary

Functional status, sitting balance, age, and time to rehabilitation accurately predict one-year mobility outcomes after stroke. This prognostic model offers valuable insights for stroke recovery and patient management.

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Clinical Epidemiology

Background:

  • Stroke is a leading cause of long-term disability, with mobility impairment significantly impacting quality of life.
  • Predicting long-term functional outcomes is crucial for effective rehabilitation planning and patient counseling.
  • Current prognostic models may not fully capture the multifactorial determinants of post-stroke mobility.

Purpose of the Study:

  • To develop and validate a prognostic model for predicting mobility outcomes one year after stroke.
  • To identify key predictors of one-year mobility in patients undergoing inpatient rehabilitation.
  • To enhance the accuracy of prognostication for stroke survivors.

Main Methods:

  • Prospective cohort study involving 217 first-ever stroke patients admitted for inpatient rehabilitation.
  • Mobility assessed using the Rivermead Mobility Index (RMI) at one year post-stroke.
  • Linear regression analyses utilized functional status, sitting balance, age, time to rehabilitation, and other clinical variables to develop and validate the prognostic model.

Main Results:

  • The final prognostic model identified functional status, sitting balance, time from stroke onset to rehabilitation admission, and age as significant predictors of one-year RMI scores.
  • The model explained 48% of the variance in mobility outcomes in the development set.
  • Validation in a cross-validation set yielded an adjusted R-squared of 0.47, indicating robust predictive performance.

Conclusions:

  • A valid prognostic model for one-year post-stroke mobility can be developed using readily available clinical variables.
  • Functional status, sitting balance, age, and timing of rehabilitation are key determinants of long-term mobility.
  • This model can aid clinicians in predicting patient recovery trajectories and tailoring rehabilitation interventions.