Recovery and Outcomes From Stroke (ROSE) Sub-study of Genetic and Environmental Risk Factors for Hemorrhagic Stroke

Stroke is the third leading cause of death and the leading cause of adult disability in the United States. More adults are affected by stroke each year than Alzheimer's disease, multiple sclerosis, amyotrophic lateral sclerosis or Parkinson's disease. Hemorrhagic strokes represent the most severe subtypes of stroke. An estimated 40-50% of hemorrhagic stroke victims will die and more than 80% of survivors remain disabled after hemorrhagic stroke. Yet the vast majority of analyses on outcome after stroke have focused principally on gross measures of functional outcome.

Furthermore hemorrhagic stroke differs from ischemic stroke where a loss of blood causes the area affected to be readily visible on scanning. But with hemorrhagic stroke, not only the area that we can directly see, but nearby tracts that have been compressed or stretched by the mass of the hemorrhage can be injured.

The investigators propose to follow-up on 500 cases of deep and lobar ICH to perform serial evaluations of motor and cognitive function and advanced neuroimaging to determine predictors of recovery, progressive cognitive or functional impairment. Our proposal has the advantages of adding onto a prospective ICH study which will identify and recruit cases, ability to evaluate for the degree and impact of survival and severity biases, baseline neuroimaging which includes baseline MRI, biologic samples including genotyping for apolipoprotein E alleles and uniform phenotype definitions as well as expertise in recovery/outcome analyses, advanced neuroimaging processes and epidemiologic study. This proposal performs detailed cognitive, motor and functional assessments on cases of intracerebral hemorrhage and correlates with tractography imaging. The investigators hypothesize that unlike ischemic stroke, the mass effect of the hemorrhage itself may disrupt nearby tracts in some patients while preserving them in others and will serve as a better predictor of who may recover after ICH. This project will represent the largest number of ICH cases in which tractography imaging has been performed to date.

Specific Aim #1: Improve motor recovery prediction after supratentorial ICH by adding proportion of tract injury as measured by diffusion tensor imaging (DTI) independent of the ICH volume, location, age, gender and intraventricular hemorrhage (IVH).

Hypothesis #1a: Increasing severity of injury to corticospinal tracts in ICH patients will predict worse specific motor deficits assessed at 3-month and 6-month post-stroke.