Prediction of evolution toward brain death upon admission to ICU in comatose patients with spontaneous intracerebral hemorrhage using simple signs

Transpl Int. 2013 May;26(5):517-26. doi: 10.1111/tri.12084. Epub 2013 Mar 21.

Abstract

The aim of the study was to identify the predictors of brain death (BD) upon admission to the intensive care unit (ICU) of comatose patients with spontaneous intracerebral hemorrhage (ICH). Patients admitted in our ICU from 2002 to 2010 for spontaneous ICH and placed under mechanical ventilation were retrospectively analyzed. Of the 72 patients, 49% evolved to BD, 39% died after withdrawal of life support, and 12% were discharged alive. The most discriminating characteristics to predict BD were included in two models; Model 1 contained ≥3 abolished brainstem responses [adjusted odds ratios (OR) = 8.4 (2.4, 29.1)] and the swirl sign on the baseline CT-scan [adjusted OR = 5.0 (1.6, 15.9)] and Model 2 addressed the abolition of corneal reflexes [unilateral/bilateral: adjusted OR = 4.2 (0.9, 20.1)/8.8 (2.4, 32.3)] and the swirl sign on the baseline CT-scan [adjusted OR = 6.2 (1.9, 20.0)]. Two scores predicting BD were created (sensitivity: 0.89 and 0.88, specificity: 0.68 and 0.65). Risk of evolution toward BD was classified as low (corneal reflexes present and no swirl sign), high (≥1 corneal reflexes abolished and swirl sign), and intermediate. Simple signs at ICU admission can predict BD in comatose patients with ICH and could increase the potential for organ donation.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Brain Death / diagnosis*
  • Brain Death / physiopathology*
  • Brain Stem / physiopathology
  • Cerebral Hemorrhage / diagnostic imaging
  • Cerebral Hemorrhage / mortality
  • Cerebral Hemorrhage / physiopathology*
  • Coma / physiopathology*
  • Female
  • Humans
  • Intensive Care Units
  • Male
  • Middle Aged
  • Models, Neurological
  • Patient Admission
  • Predictive Value of Tests
  • Retrospective Studies
  • Time Factors
  • Tissue and Organ Procurement
  • Tomography, X-Ray Computed