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Prediction of intracerebral hemorrhage survival
Author(s) -
Tuhrim Stanley,
Dambrosia James M.,
Price Thomas R.,
Mohr Jay P.,
Wolf Philip A.,
Heyman Albert,
Kase Carlos S.
Publication year - 1988
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.410240213
Subject(s) - glasgow coma scale , intracerebral hemorrhage , medicine , nomogram , logistic regression , univariate analysis , stroke (engine) , univariate , coma (optics) , blood pressure , glasgow outcome scale , intracranial pressure , cardiology , anesthesia , multivariate analysis , multivariate statistics , statistics , mechanical engineering , physics , mathematics , optics , engineering
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.