R M Lazar1, A E Speizer, J R Festa, J W Krakauer, R S Marshall. 1. Department of Neurology, Columbia University College of Physicians & Surgeons, Columbia University Medical Center, New York, NY 10032, USA. ral22@columbia.edu
Abstract
BACKGROUND: Predicting aphasia recovery after stroke has been difficult due to substantial variability in outcomes. Few studies have characterised the nature and extent of recovery, beginning with baselines at 24-72 hours after stroke onset. AIM: To characterise the course of language recovery after first-time stroke. METHODS: Using our Performance and Recovery in Stroke Study (PARIS) database, we evaluated consecutive first-time stroke patients with aphasia and diffusion-weighted-image-positive lesions on admission and at 90 days. RESULTS: Twenty-two of 91 patients had language disorders. Initial syndrome scores were positively correlated with 90-day scores (r = 0.60) and negatively correlated with the change in score from baseline to follow-up (r = -0.66). Neither lesion size, age nor education correlated with initial syndrome severity or with performance at 90 days. Level of education was not associated with degree of recovery. A multiple regression model that combined lesion size, age and initial syndrome was significant (p = 0.03) but only explained 29% of the variance. Patients with severe deficits at baseline in individual language domains could recover, improve to a less severe deficit or not improve at all. CONCLUSION: There was significant variability in language recovery after first-time stroke, even in more severe, initial syndromes. Traditional predictors of post-stroke language outcomes did not reliably predict function at 90 days. These data suggest that other factors that account for functional stroke recovery have not yet been identified.
BACKGROUND: Predicting aphasia recovery after stroke has been difficult due to substantial variability in outcomes. Few studies have characterised the nature and extent of recovery, beginning with baselines at 24-72 hours after stroke onset. AIM: To characterise the course of language recovery after first-time stroke. METHODS: Using our Performance and Recovery in Stroke Study (PARIS) database, we evaluated consecutive first-time stroke patients with aphasia and diffusion-weighted-image-positive lesions on admission and at 90 days. RESULTS: Twenty-two of 91 patients had language disorders. Initial syndrome scores were positively correlated with 90-day scores (r = 0.60) and negatively correlated with the change in score from baseline to follow-up (r = -0.66). Neither lesion size, age nor education correlated with initial syndrome severity or with performance at 90 days. Level of education was not associated with degree of recovery. A multiple regression model that combined lesion size, age and initial syndrome was significant (p = 0.03) but only explained 29% of the variance. Patients with severe deficits at baseline in individual language domains could recover, improve to a less severe deficit or not improve at all. CONCLUSION: There was significant variability in language recovery after first-time stroke, even in more severe, initial syndromes. Traditional predictors of post-stroke language outcomes did not reliably predict function at 90 days. These data suggest that other factors that account for functional stroke recovery have not yet been identified.
Authors: Matthew B Maas; Michael H Lev; Hakan Ay; Aneesh B Singhal; David M Greer; Wade S Smith; Gordon J Harris; Elkan F Halpern; Walter J Koroshetz; Karen L Furie Journal: J Stroke Cerebrovasc Dis Date: 2010-12-24 Impact factor: 2.136
Authors: Sarah Marchina; Lin L Zhu; Andrea Norton; Lauryn Zipse; Catherine Y Wan; Gottfried Schlaug Journal: Stroke Date: 2011-06-30 Impact factor: 7.914
Authors: S Payabvash; S Kamalian; S Fung; Y Wang; J Passanese; S Kamalian; L C S Souza; A Kemmling; G J Harris; E F Halpern; R G González; K L Furie; M H Lev Journal: AJNR Am J Neuroradiol Date: 2010-05-20 Impact factor: 3.825
Authors: Joseph C Griffis; Rodolphe Nenert; Jane B Allendorfer; Jennifer Vannest; Scott Holland; Aimee Dietz; Jerzy P Szaflarski Journal: Hum Brain Mapp Date: 2016-12-16 Impact factor: 5.038
Authors: Jerzy P Szaflarski; Jane B Allendorfer; Christi Banks; Jennifer Vannest; Scott K Holland Journal: Restor Neurol Neurosci Date: 2013 Impact factor: 2.406