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.

Thursday, February 27, 2020

Predicting Early Post-stroke Aphasia Outcome From Initial Aphasia Severity

Survivors don't care about predictions, they want rehab interventions that lead to recovery results. DO THE DAMN RESEARCH THAT WILL GET THERE. Not this lazy prediction crapola.  Have you ever talked to patients about what they want?

Predicting Early Post-stroke Aphasia Outcome From Initial Aphasia Severity


  • 1Centre de Recherche du Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada
  • 2École d'Orthophonie et d'Audiologie, Université de Montréal, Montreal, QC, Canada
  • 3Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
  • 4Département de Psychologie, Université de Montréal, Montreal, QC, Canada
  • 5Department of Speech-Language Pathology, University of Toronto, Toronto, ON, Canada
  • 6Toronto Rehabilitation Institute, Toronto, ON, Canada
  • 7Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Ottawa, ON, Canada
  • 8Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
  • 9School of Rehabilitation Sciences, University of Ottawa, Ottawa, ON, Canada
  • 10Département de Neurosciences, Université de Montréal, Montreal, QC, Canada
  • 11Centre d'Études Avancées en Médecine du Sommeil, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada
Background: The greatest degree of language recovery in post-stroke aphasia takes place within the first weeks. Aphasia severity and lesion measures have been shown to be good predictors of long-term outcomes. However, little is known about their implications in early spontaneous recovery. The present study sought to determine which factors better predict early language outcomes in individuals with post-stroke aphasia.
Methods: Twenty individuals with post-stroke aphasia were assessed <72 h (acute) and 10–14 days (subacute) after stroke onset. We developed a composite score (CS) consisting of several linguistic sub-tests: repetition, oral comprehension and naming. Lesion volume, lesion load and diffusion measures [fractional anisotropy (FA) and axial diffusivity (AD)] from both arcuate fasciculi (AF) were also extracted using MRI scans performed at the same time points. A series of regression analyses were performed to predict the CS at the second assessment.
Results: Among the diffusion measures, only FA from right AF was found to be a significant predictor of early subacute aphasia outcome. However, when combined in two hierarchical models with FA, age and either lesion load or lesion size, the initial aphasia severity was found to account for most of the variance (R2 = 0.678), similarly to the complete models (R2 = 0.703 and R2 = 0.73, respectively).
Conclusions: Initial aphasia severity was the best predictor of early post-stroke aphasia outcome, whereas lesion measures, though highly correlated, show less influence on the prediction model. We suggest that factors predicting early recovery may differ from those involved in long-term recovery.

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