A Simple Hospital Mobility Scale for Acute Ischemic Stroke Patients Predicts Long-term Functional Outcome

Author:

Maso Iara123ORCID,Pinto Elen Beatriz12,Monteiro Maiana2,Makhoul Marina2,Mendel Tassiana2,Jesus Pedro A. P.3,Oliveira-Filho Jamary1

Affiliation:

1. Federal University of Bahia, Salvador-BA, Brazil

2. Bahiana School of Medicine and Public Health, Salvador-BA, Brazil

3. Roberto Santos General Hospital, Salvador-BA, Brazil

Abstract

Background. Stroke patients present restriction of mobility in the acute phase, and the use of a simple and specific scale can be useful to guide rehabilitation. Objective. To validate and propose a Hospital Mobility Scale (HMS) for ischemic stroke patients as well as to evaluate the HMS as a prognostic indicator. Methods. This study was performed in 2 phases: in the first, we developed the HMS content, and in the second, we defined its score and evaluated its psychometric properties. We performed a longitudinal prospective study consisting of 2 cohorts (derivation and validation cohorts). The data were collected in a stroke unit, and the following scales were applied during hospitalization: National Institutes of Health Stroke Scale to quantify stroke severity and the HMS to verify the degree of mobility. The primary outcome was the proportion of unfavorable functional outcomes, defined as a modified Barthel Index of <95. Results. We defined 3 tasks for HMS: sitting, standing, and gait. In the derivation cohort, the HMS presented an accuracy of 84.5% measured using the area under the receiver operating characteristic curve (95% CI = 78.3-90.7; P < .001), whereas in the validation cohort the accuracy was 87.8% (95% CI = 81.9%-93.7%; P < .001). The HMS presented a large standardized effect size (1.41) and excellent interexaminer agreement (intraclass correlation coefficient = 0.962; 95% CI = 0.917-0.983; P < .001). Conclusion. The HMS was able to predict accurately the functional outcome of poststroke patients, presented excellent interexaminer agreement, and was sensitive in detecting changes.

Publisher

SAGE Publications

Subject

General Medicine

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