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.

Friday, February 7, 2025

Early recovery during stroke rehabilitation predicts the functional outcome at discharge: a retrospective clinical study

I consider all prediction research in stroke completely worthless. Recovery research is what survivors want. The only goal in stroke is 100% recovery.

 Early recovery during stroke rehabilitation predicts the functional outcome at
discharge: a retrospective clinical study

Authors
Marco Anziano1,*, Riccardo Cusinato2,3, Athina Tzovara2,3, Lucas Spierer1 , Joelle N. Chabwine1,4
Affiliations
1 Laboratory for Neurorehabilitation Science, Medicine Section, Faculty of Science and Medicine,
University of Fribourg, Fribourg, Switzerland.
2 Institute of Computer Science, University of Bern, Switzerland.
3 Center for Experimental Neurology - Sleep Wake Epilepsy Center - NeuroTec, Department of
Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
4 Neurology Division, Internal Medicine Department, Fribourg Hospital, Fribourg, Switzerland.
*Corresponding author
Dr Marco Anziano,
Laboratory for Neurorehabilitation Science, Medicine Section, Faculty of Science and Medicine,
University of Fribourg, PER 09, Chemin du Musée 5, 1700 Fribourg, Switzerland
Email: marco.anziano @unifr.ch
ORCID: https://orcid.org/0000-0002-6235-9727
Authors contributions
MA: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration;
Validation; Writing - original draft; Writing - review & editing.
JNC and LS: Conceptualization; Funding acquisition; Methodology; Project administration; Supervision;
Writing - original draft; Writing - review & editing.
AT and RC: Formal analysis, Methodology.
Acknowledgments
This work was supported by a grant from the Swiss National Science Foundation to LS (#32513B_212616) and
AT (#320030_188737), as well as by the QuadriMed fund, and the Fondation Pierre Mercier pour la science.
We thank Franziska Peier and Naima Mory for their help in data collection and Fiona Chesnel for her help in
lesion processing.

Abstract

Background: Models predicting functional recovery upon stroke rehabilitation (SR) are not
implemented in clinical practice due to their complexity and limited power in patients with
moderate/severe deficits.
Objectives: To obtain preliminary evidence supporting the predictive value of a single
measure of early recovery on SR discharge functional status.
Methods: We tested simple predictive models based on the functional independence
measure (FIM) changes during the first three weeks of SR (3wFIMgain) in 81 patients with
moderate/severe impairment.
Results: Patients with poor or good 3wFIMgain featured similar admission impairment, rate
of complications, presence of aphasia or dominant-sided hemisyndrome, while poor early
recovery was associated with lesions to the left sensory-motor cortex, temporo-parietal
junction, and superior longitudinal fasciculus.
The 3wFIMgain effectively predicted the discharge FIM gain in patients with ≥ 6 weeks of
SR stay. Combined with the admission FIM, the 3wFIMgain improved a predictive model for
the discharge FIM.
Conclusions: The 3wFIMgain bears strong discharge prognostic value and synthetizes
complex information about the early recovery of stroke patients that cannot be described by
individual clinical predictors. Measures of early recovery might improve the power of models
and simplify them, thus favoring application in clinical practice. Future validation in
confirmatory studies is required.

 

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