Intracerebral haemorrhage

A model for the prediction of outcome

Russell K. Portenoy, Richard B. Lipton, Alan R. Berger, Martin L. Lesser, George Lantos

Research output: Contribution to journalArticle

162 Citations (Scopus)

Abstract

The hospital charts and CT scans of 112 patients with spontaneous supratentorial haemorrhage were retrospectively reviewed to evaluate factors important to prognosis. A low Glasgow Coma Scale score, coma, ataxic respiration, abnormal pupils, acute hypertension, large haemorrhage size and intraventricular extension of blood were associated with a poor outcome. Multivariate analysis using the technique of logistic regression identified three variables, the Glasgow Coma Scale score, haemorrhage size and intraventricular extension of blood, which were most predictive of outcome. A model was developed from this analysis which accurately estimates the probability of good outcome and the risk of poor outcome based on data available on presentation. With additional validation, this model may be useful in choosing patients for surgical evacuation of haematomas.

Original languageEnglish (US)
Pages (from-to)976-979
Number of pages4
JournalJournal of Neurology, Neurosurgery and Psychiatry
Volume50
Issue number8
DOIs
StatePublished - 1987

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Cerebral Hemorrhage
Glasgow Coma Scale
Hemorrhage
Pupil
Coma
Hematoma
Respiration
Multivariate Analysis
Logistic Models
Hypertension

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Psychiatry and Mental health
  • Neuroscience(all)
  • Neuropsychology and Physiological Psychology

Cite this

Intracerebral haemorrhage : A model for the prediction of outcome. / Portenoy, Russell K.; Lipton, Richard B.; Berger, Alan R.; Lesser, Martin L.; Lantos, George.

In: Journal of Neurology, Neurosurgery and Psychiatry, Vol. 50, No. 8, 1987, p. 976-979.

Research output: Contribution to journalArticle

Portenoy, Russell K. ; Lipton, Richard B. ; Berger, Alan R. ; Lesser, Martin L. ; Lantos, George. / Intracerebral haemorrhage : A model for the prediction of outcome. In: Journal of Neurology, Neurosurgery and Psychiatry. 1987 ; Vol. 50, No. 8. pp. 976-979.
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