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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