PREDICTION OF INTRACEREBRAL HEMORRHAGE SURVIVAL

The Pilot Stroke Data Bank obtained information on 94 patients with intracerebral hemorrhage. These data were used to identify factors predictive of 30-day outcome from among 85 demographic, historical, clinical and laboratory varialbes generally available to clinicians on the day of admission. The 9 univariate factors statistically assocaited with outcome were Glasgow Coma Scale score, systolic blood pressure, pulse pressure, horizontal and vertical gaze palsies, serverity of weakness, presence of branistem-cerebellar deficits, interval stroke course, and parenchymaal hemorrhage size. Beginning with these factors, a step-down variable selection procedures was used to derive a logistic regression model, containing only Glasgow Coma Scale score, pulse pressure, and hemorrhage size, that could be used to categorize correctly 925 of the patients as alive or dead at 30 days after onset.