Predictive Validity of Motor Assessment Scale on Poststroke Discharge Destination
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- Conradsen et al. 2024-Predictive Validity of MAS on Poststroke discharge-Rehab Res Practice
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Background: Stroke frequently leads to hospital admission and subsequent rehabilitation in order to overcome poststrokesequelae, such as motor impairments. Efficient planning of the steps following hospital admission includes early prediction ofwhether the patient can be discharged home or not. Early assessment of motor performance in patients with stroke-inducedmotor deficits may be able to function as a predictor of discharge destination but is less explored.Objective: The primary objective was to assess the predictive validity of the Motor Assessment Scale (MAS) on dischargedestination both regarding total score and regarding subscores (transfer-mobility items and upper extremity items).Design: The study was designed as a prospective cohort study.Subjects: Thirty-seven consecutively recruited patients with stroke are the subjects of the study.Methods: Logistic regression model was used to calculate the odds of being discharged to own home upon hospital admittance.The predictive ability was examined with a receiving operator characteristic (ROC) curve, and cut-points from the curve wereemployed in Cox regression.Results: A one-unit higher score on the total MAS significantly increased the odds of being discharged home upon hospitaladmittance (odds ratio (OR) 1.14, 95% CI 1.04–1.25). The same pattern was observed with the summed items of 1–5 and 6–8.The total MAS showed sensitivity of 91.7% and specificity of 68.0%. Patients having a total MAS score ≥ 24 were 17 timesmore likely to be discharged home (HR 17.64, 95% CI 2.23–139.57) compared to patients with a lower score.Conclusion: Motor function measured by the MAS can be applied as a predictor of discharge destination upon hospital admissionafter stroke in Danish setting.
Original language | English |
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Journal | Rehabilitation Research and Practice |
Number of pages | 9 |
ISSN | 2090-2867 |
DOIs | |
Publication status | E-pub ahead of print - 20 Jul 2024 |
ID: 398966452