Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Saturday, March 8, 2025

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

Any prognostication is ABSOLUTELY FUCKING WORTHLESS IN GETTING SURVIVORS RECOVERED! I'd have you all fired!

 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

PLOS ONE | https://doi.org/10.1371/journal.pone.0319682 March 7, 2025 1 / 14
OPEN ACCESS

Citation:
Kirdthongkham T, Justine M,
Siriphorn A (2025) 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. PLoS ONE 20(3):

e0319682.
https://doi.org/10.1371/journal.
pone.0319682

Editor:
Jyotindra Narayan, Imperial College
London, UNITED KINGDOM OF GREAT

BRITAIN AND NORTHERN IRELAND

Received:
October 10, 2024
Accepted:
February 6, 2025
Published:
March 7, 2025
Copyright:
© 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.

Data availability statement
: All relevant data
are within the manuscript and its Supporting

Information files.

Funding:
The 90th Anniversary
of Chulalongkorn University Fund

RESEARCH ARTICLE

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

Thamonwan Kirdthongkham
1,2, Maria Justine1,3, Akkradate Siriphorn 1*
1
Department of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok,
Thailand,
2 Department of Physical Therapy, Queen Savang Vadhana Memorial Hospital, Chonburi,
Thailand,
3 Centre for Physiotherapy Studies, Faculty of Health Sciences, Universiti Teknologi MARA,
Puncak Alam Campus, Selangor, Malaysia

*
Akkradate.s@chula.ac.th

Abstract


Gait prediction is critical in optimizing rehabilitation strategies for stroke survivors. This
study evaluates the prognostic utility of the Stroke Rehabilitation Assessment of Move
-
ment (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 effective
-
ness 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 walk
-
ing independence, which can guide the planning of more effective rehabilitation interven
-
tions.
Trial registration TCTR20240323004 at www.thaiclinicaltrials.org.

No comments:

Post a Comment