Literature DB >> 23517301

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

Arnaud Galbois1, Pierre-Yves Boëlle, Elodie Hainque, Marianne Raynal, Julien Cazejust, Jean-Luc Baudel, Hafid Ait-Oufella, Mikael Alves, Naïke Bigé, Eric Maury, Bertrand Guidet, Georges Offenstadt.   

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.
© 2013 The Authors Transplant International © 2013 European Society for Organ Transplantation. Published by Blackwell Publishing Ltd.

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Year:  2013        PMID: 23517301     DOI: 10.1111/tri.12084

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  6 in total

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Journal:  Biomed Res Int       Date:  2018-01-10       Impact factor: 3.411

6.  Prognostic models for intracerebral hemorrhage: systematic review and meta-analysis.

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  6 in total

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