IMPROVING THE PREDICTION OF FUNCTIONAL RECOVERY IN OLDER ADULTS WITH STROKE IN GERIATRIC REHABILITATION USING AN...

Prediction of functional recovery in older adults recovering from stroke is typically based on observational scales, such as the Utrecht Scale for Evaluation of Rehabilitation (USER). Objectively measuring postural sway using inertial measurement devices (IMU) may complement or improve conventional approaches. The aim of this study was to evaluate whether integrating an IMU with USER data enhances the accuracy of predicting functional recovery at discharge.

This prospective cohort study included older adults (≥ 65 years) recovering from stroke. Postural sway was assessed using an IMU during 2 different balance conditions and analysed using principal component analysis (PCA). Using 3 different regression models, percentage explained variance was compared to assess predictive performance on functional recovery of USER vs an IMU.

The 71 patients included had a mean age of 78 (SD 7.6) and a median time since stroke of 16 days (IQR 19-60). Of the 71 patients, 12 (16.9%) were unable to perform balance condition 2 due to insufficient balance. Of 35 postural sway features displaying reliability for both balance conditions, 12 were selected for PCA. Incorporation of principal components for both balance conditions in the final model increased the explained variance compared to a model in which only USER-mobility at admission was used to predict delta-USER at discharge (R ² = 0.61 vs 0.30).

Sitting and standing balance as measured by an IMU improves the prediction of functional recovery at discharge compared to USER alone.