Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up

Gait prediction is critical in optimizing rehabilitation strategies for stroke survivors. This study evaluates the prognostic utility of the Stroke Rehabilitation Assessment of Movement (STREAM) scores, recorded at admission, for predicting walking ability at discharge and one-month follow-up. We as...

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Published in:PLoS ONE
Main Author: 2-s2.0-86000278542
Format: Article
Language:English
Published: Public Library of Science 2025
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000278542&doi=10.1371%2fjournal.pone.0319682&partnerID=40&md5=d720338468a948d98d9295be6232b850
id Kirdthongkham T.; Justine M.; Siriphorn A.
spelling Kirdthongkham T.; Justine M.; Siriphorn A.
2-s2.0-86000278542
Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
2025
PLoS ONE
20
3-Mar
10.1371/journal.pone.0319682
https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000278542&doi=10.1371%2fjournal.pone.0319682&partnerID=40&md5=d720338468a948d98d9295be6232b850
Gait prediction is critical in optimizing rehabilitation strategies for stroke survivors. This study evaluates the prognostic utility of the Stroke Rehabilitation Assessment of Movement (STREAM) scores, recorded at admission, for predicting walking ability at discharge and one-month follow-up. We assessed 47 stroke patients using STREAM at admission; walking independence was defined using two criteria: a Functional Ambulation Category (FAC) score > 3 and a 10-Meter Walk Test (10-MWT) speed ≥ 0.4 m/s. The predictive validity of STREAM scores was analyzed using the area under the receiver operating characteristic curve (AUC). Sensitivity, specificity, and cut-off values were computed. The analysis revealed that a STREAM score above 38 at admission significantly predicted independent gait by discharge, evidenced by a high AUC of 0.897. At the one-month follow-up, a cut-off score of 29 continued to predict walking independence, with an AUC of 0.987. The subscores further enhanced predictive accuracy and highlighted the effectiveness of the STREAM assessment as a robust predictor of independent walking in stroke patients. These findings suggest the practicality of using STREAM scores to predict walking independence, which can guide the planning of more effective rehabilitation interventions. © 2025 Kirdthongkham et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Public Library of Science
19326203
English
Article
All Open Access; Gold Open Access
author 2-s2.0-86000278542
spellingShingle 2-s2.0-86000278542
Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
author_facet 2-s2.0-86000278542
author_sort 2-s2.0-86000278542
title Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
title_short Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
title_full Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
title_fullStr Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
title_full_unstemmed Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
title_sort Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
publishDate 2025
container_title PLoS ONE
container_volume 20
container_issue 3-Mar
doi_str_mv 10.1371/journal.pone.0319682
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000278542&doi=10.1371%2fjournal.pone.0319682&partnerID=40&md5=d720338468a948d98d9295be6232b850
description Gait prediction is critical in optimizing rehabilitation strategies for stroke survivors. This study evaluates the prognostic utility of the Stroke Rehabilitation Assessment of Movement (STREAM) scores, recorded at admission, for predicting walking ability at discharge and one-month follow-up. We assessed 47 stroke patients using STREAM at admission; walking independence was defined using two criteria: a Functional Ambulation Category (FAC) score > 3 and a 10-Meter Walk Test (10-MWT) speed ≥ 0.4 m/s. The predictive validity of STREAM scores was analyzed using the area under the receiver operating characteristic curve (AUC). Sensitivity, specificity, and cut-off values were computed. The analysis revealed that a STREAM score above 38 at admission significantly predicted independent gait by discharge, evidenced by a high AUC of 0.897. At the one-month follow-up, a cut-off score of 29 continued to predict walking independence, with an AUC of 0.987. The subscores further enhanced predictive accuracy and highlighted the effectiveness of the STREAM assessment as a robust predictor of independent walking in stroke patients. These findings suggest the practicality of using STREAM scores to predict walking independence, which can guide the planning of more effective rehabilitation interventions. © 2025 Kirdthongkham et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
publisher Public Library of Science
issn 19326203
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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