Abstract 75: Predictors of Poor Outcome After Intracerebral Hemorrhage: Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) Study

Stroke(2019)

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摘要
Introduction: Intracerebral hemorrhage (ICH) is the most severe subtype of stroke with a high mortality rate and majority of survivors suffering significant disability. The Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study prospectively recruited 1000 white, 1000 black and 1000 Hispanic spontaneous ICH cases. Herein, we report the main results of the predictors of 3 month outcome after ICH. Hypothesis: We hypothesized that ICH Score variables of age, ICH volume, ICH location, presence of intraventricular hemorrhage (IVH), and presenting Glasgow Coma Scale would predict long-term disability in addition to prior validation of mortality. Methods: Between 2010-2015, cases were prospectively recruited with uniform phenotype definitions, centralized neuroimaging review and with telephone follow-up at 3 months. Apolipoprotein E genotyping was performed centrally. Individual characteristics were screened for association under a logistic regression model, 90-day mRS ≥ 4 versus 0-3, and those meeting P<0.2 were entered into multivariate model building where the final model was determined by minimum AIC score. Analyses were repeated removing subjects with withdrawal of care. Results: The Table presents the prevalence/average of each variable entering the final multivariate model for association with poor (mRS 4-6) compared to good (mRS 0-3) outcome at 3 months. When analyses were repeated excluding withdrawal of care, overall Graeb (IVH) score fell out of the model (with presence of IVH replacing it) but the remaining variables were retained and in the same direction of effect. C-statistic for the multivariate model = 0.884 compared to 0.763 for ICH score alone (p=1.7E-22). Conclusion: ICH score elements were validated as predictive of 3 month outcome. Novel baseline characteristics such as white matter hyperintensity as well as subsequent clinical events that may affect outcomes were identified. Location specific results to be presented.
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