title: Prediction of intracerebral hemorrhage survival.
abstract: 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 variables generally available to clinicians on the day of admission. The 9 univariate factors statistically associated with outcome were Glasgow Coma Scale score, systolic blood pressure, pulse pressure, horizontal and vertical gaze palsies, severity of weakness, presence of brainstem-cerebellar deficits, interval stroke course, and parenchymal hemorrhage size. Beginning with these factors, a step-down variable selection procedure 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 92% of the patients as alive or dead at 30 days after onset.
authors.affiliation: Department of Neurology, Mount Sinai Medical Center, New York, NY 10029.
authors.forename: S
authors.initials: S
authors.lastname: Tuhrim
authors.forename: J M
authors.initials: JM
authors.lastname: Dambrosia
authors.forename: T R
authors.initials: TR
authors.lastname: Price
authors.forename: J P
authors.initials: JP
authors.lastname: Mohr
authors.forename: P A
authors.initials: PA
authors.lastname: Wolf
authors.forename: A
authors.initials: A
authors.lastname: Heyman
authors.forename: C S
authors.initials: CS
authors.lastname: Kase
mesh_terms: D002543:Cerebral Hemorrhage / Q000401:mortality* / Q000503:physiopathology; D005260:Female; D006801:Humans; D008297:Male; D011379:Prognosis; D012307:Risk Factors