Predictors of language restitution following stroke: a multivariate analysis.
A consecutive sample of 50 language-impaired patients was evaluated prospectively during the first 3 to 4 months following unilateral left- or right-hemisphere stroke. A multiple logistic linear regression model was used to assess the relative importance of eight predictor variables on the likelihood of language recovery. Those found to be significantly associated with language recovery included age (favoring younger patients) and length of hospital stay (favoring shorter stays). Gender (favoring males), type of stroke (favoring hemorrhages), and side of lesion (favoring right) were only moderate correlates of recovery. Neither race nor history of previous stroke was a significant predictor of language recovery. Multivariate statistical analysis was useful in illuminating the joint relationship between clinical and demographic predictor variables and language recovery.
Holland
A L
AL
University of Pittsburgh.
Greenhouse
J B
JB
Fromm
D
D
Swindell
C S
CS
D000367:Age Factors; D000704:Analysis of Variance; D002561:Cerebrovascular Disorders / Q000150:complications* / Q000209:etiology; D005260:Female; D006801:Humans; D007806:Language Disorders / Q000175:diagnosis / Q000209:etiology / Q000534:rehabilitation*; D007902:Length of Stay; D008297:Male; D011379:Prognosis; D011446:Prospective Studies; D012737:Sex Factors