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 variables generally available to clinicians on the day of admission. The...

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Veröffentlicht in:Annals of neurology 1988-08, Vol.24 (2), p.258-263
Hauptverfasser: Tuhrim, Stanley, Dambrosia, James M., Price, Thomas R., Mohr, Jay P., Wolf, Philip A., Heyman, Albert, Kase, Carlos S.
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container_end_page 263
container_issue 2
container_start_page 258
container_title Annals of neurology
container_volume 24
creator Tuhrim, Stanley
Dambrosia, James M.
Price, Thomas R.
Mohr, Jay P.
Wolf, Philip A.
Heyman, Albert
Kase, Carlos S.
description 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.
doi_str_mv 10.1002/ana.410240213
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Biological and medical sciences
Cerebral Hemorrhage - mortality
Cerebral Hemorrhage - physiopathology
Female
Humans
Male
Medical sciences
Neurology
Prognosis
Risk Factors
Vascular diseases and vascular malformations of the nervous system
title Prediction of intracerebral hemorrhage survival
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