Paretic upper extremity strength at acute rehabilitation evaluation predicts motor function outcome after stroke
Saltao da Silva, M. A.; Cook, C.; Stinear, C. M.; Wolf, S. L.; Borich, M. R.
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ObjectiveThe primary objective of this study was to retrospectively assess current care practices to determine the routinely collected measures that are most predictive of paretic upper extremity (PUE) functional outcome post-stroke in patients undergoing acute inpatient rehabilitation (AR). MethodsWe conducted a longitudinal chart review of patients post-stroke who received care in the Emory University Hospital system for acute hospitalization, AR, and outpatient therapy in fiscal years 2016-2018. We identified eligible patients using previously established inclusion and exclusion criteria. We extracted demographics, stroke characteristics, and longitudinal documentation of post-stroke motor function from institutional electronic medical records. Serial assessments of PUE strength were estimated using available shoulder abduction and finger extension manual muscle test documentation (E-SAFE). Estimated Action Research Arm Test (E-ARAT) was used to quantify 3-month PUE functional outcome. Metric associations were explored through correlation and cluster analyses, Kruskal-Wallis tests, classification and regression tree (CART) analysis. ResultsThirty-four patients met study eligibility criteria. E-SAFE assessments performed closest to acute hospitalization day-3 (Acute E-SAFE) and upon AR admission (AR E-SAFE) were correlated with E-ARAT. Cluster analysis produced three distinct outcome groups and aligned closely to previous outcome categories. Outcome groups significantly differed in Acute E-SAFE and AR E-SAFE. Exploratory CART analysis selected AR E-SAFE to classify patient outcome with 70.6% accuracy. ConclusionsCurrent study findings reveal that: PUE E-SAFE, measured both acutely and at AR admission, is associated with PUE motor recovery outcome; categorizations of outcome are consistent with previous studies; and predictive models can identify recovery outcome category in patients undergoing AR. Impact StatementOur findings highlight the clinical utility of SAFE as an easy-to-acquire, readily implementable screening metric. Early, intentional use of SAFE in AR settings may improve clinical decision-making, enabling therapists to deliver precision-based interventions that serve to speed or enhance recovery outcome for patients post-stroke.
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