Significance of aphasia after first-ever acute stroke: impact on early and late outcomes.

BACKGROUND: We assessed the incidence and determinants of aphasia attributable to first-ever acute stroke. We also investigated early and long-term mortality and 1-year dependence in post-stroke patients. METHODS: A 10-year prospective hospital-based study was conducted in the prefecture of Athens, Greece. RESULTS: In total, 2,297 patients were included in the study, of whom 806 (35.1%) had aphasia. The presence of aphasia was independently associated with increasing age (OR: 1.19 per 10-year increase, 95% CI: 1.12-1.21) and atrial fibrillation (OR: 1.35, 95% CI: 1.08-1.67), and inversely associated with Scandinavian Stroke Scale (SSS) score (OR: 0.55 per 10-point increase, 95% CI: 0.52-0.59) and hypertension (OR: 0.77, 95% CI: 0.63-0.96). One-year dependence score (calculated with the modified Rankin score) was higher in aphasic patients compared to non-aphasics (p < 0.001). Moreover, severity of aphasia (estimated with a subscale of SSS) was found as an independent predictor of 1-year dependence. Most of the deaths in the aphasic patients were attributed to infections and neurological damage. Using the Kaplan-Meier limit method, the unadjusted probability of 10-year mortality was demonstrated to increase with the severity of aphasia (log-rank test: 233.9, p < 0.001) and, even after adjustment for several other factors, severity of aphasia remained an independent predictor of 10-year mortality. CONCLUSIONS: Increasing age, atrial fibrillation and severity of stroke were associated with the risk of aphasia after stroke. Severity of aphasia is a strong predictor of long-term mortality and dependence of post-stroke patients.

Incidence and predictors of post-stroke aphasia: the Arcadia Stroke Registry.

BACKGROUND AND PURPOSE: Aphasia is an important post-stroke sequela. We estimated the prevalence and main determinants of post-stroke aphasia in the prefecture of Arcadia, Greece. METHOD: Prospective population-based study of Arcadia residents diagnosed with first ever stroke. within a 2 year period. Associations of aphasia with potential predictors were analysed by logistic regression in: (i) the entire cohort and (ii) the sub-cohort of patients who were alive 28 days post-stroke. Multivariate regression models were adjusted for left hemispheric stroke localization and modified Rankin Scale 28 days post-stroke (MRS-1mo). RESULTS: Of 555 subjects, 126 (22.7%) suffered from aphasia. When only the 405 survivors were considered, 77 (19.0%) suffered from aphasia. In adjusted multivariate models of the entire cohort, factors conferring significantly higher risk for aphasia included female gender, diabetes mellitus (borderline significance) and heart disease. In adjusted multivariate models of survivors, only diabetes was associated with significantly higher risk for aphasia. CONCLUSIONS: Female gender, diabetes and heart disease were independent prospective predictors of aphasia. The study offers a quantitative estimate of the public health problem of post-stroke aphasia in Greece and suggests that the role of diabetes in post-stroke aphasia may be more important than previously appreciated.