Impact of comorbidity on ischemic stroke outcome

Abstract

Objective: To evaluate the impact of comorbidity on stroke outcome of patients admitted to a general ward (GW) and a stroke unit (SU).

Methods: Data of 266 patients with acute ischemic stroke (GW: 103, SU: 163) were collected prospectively for 13 months. Clinical and radiological findings, and the Charlson Comorbidity Index (CCI) were recorded. Predictors of outcome 4 months after stroke were analyzed. Favorable outcome was defined as modified Rankin Scale (mRS) score of < or = 2, unfavorable as mRS >2.

Results: The mean age of the patients was 67.2 years (SD = 14.4), the mean CCI 1.2 (SD = 1.4). In univariate analysis, small artery disease predicted favorable outcome (P < 0.001) and age (P = 0.022), high National Institutes of Health Stroke Scale (NIHSS) score (P < 0.001), high CCI (P < 0.001), treatment in a GW (P = 0.004), coronary artery disease (P = 0.02), dementia (P = 0.009), diabetes (P = 0.005) and atrial fibrillation (P < 0.001) unfavorable outcome after 4 months. In multivariate analysis, high NIHSS score (P < 0.001), atrial fibrillation (P = 0.004), coronary artery disease (P = 0.012) and diabetes (P = 0.031) were predictors of unfavorable outcome.

Conclusions: Comorbidity has a significant impact on stroke outcome. In addition to stroke severity, atrial fibrillation, coronary artery disease and diabetes were predictors of outcome after stroke, but not the sum of the CCI.