Predictors of stroke outcome using objective measurement scales

Area of Science:

• Neurology
• Rehabilitation Medicine
• Clinical Research

Background:

• Stroke significantly impacts motor and functional recovery.
• Predicting patient outcomes is crucial for effective rehabilitation planning.

Purpose of the Study:

• To identify early rehabilitation variables that predict motor and functional outcomes in stroke patients.
• To establish objective predictors for guiding stroke rehabilitation.

Main Methods:

• Assessed 50 stroke patients using the Modified Motor Assessment Scale and Barthel Index at multiple time points.
• Employed Spearman correlation coefficient and stepwise regression analysis.
• Evaluated patients at ≤3 days, 1 week, 1 month post-stroke, and at hospital discharge.

Main Results:

• One-week scores for balanced sitting and bladder control significantly correlated with discharge motor (r=0.83), functional (r=0.82), and walking (r=0.80) status.
• One-month combined arm scores strongly predicted discharge arm scores (r=0.94).
• Regression models using one-month data yielded high predictive values (r² range 0.76-0.95) for various recovery scores.

Conclusions:

• Early assessment of specific rehabilitation variables can reliably predict stroke recovery.
• Objective predictors derived from early assessments can inform and optimize rehabilitation strategies.
• These findings support the use of predictive models in clinical decision-making for stroke patient management.