Bispectral index to predict neurological outcome early after cardiac arrest.

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Abstract

To address the value of continuous monitoring of bispectral index (BIS) to predict neurological outcome after cardiac arrest.

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Journal

Journal ID (iso-abbrev): Resuscitation

Title: Resuscitation

Publisher: Elsevier BV

ISSN (Electronic): 1873-1570

ISSN (Print): 0300-9572

Publication date (Electronic): Dec 2014

Volume: 85

Issue: 12

Affiliations

[1 ] Department of Anaesthesia and Intensive Care Medicine, Centre Hospitalier de Luxembourg, 4, rue Barblé, L-1210 Luxembourg, Luxembourg. Electronic address: stammet.pascal@chl.lu.

[2 ] Competence Centre for Methodology and Statistics, Centre de Recherche Public de la Santé (CRP-Santé), 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg.

[3 ] Department of Anaesthesia and Intensive Care Medicine, Centre Hospitalier de Luxembourg, 4, rue Barblé, L-1210 Luxembourg, Luxembourg.

[4 ] Laboratory of Cardiovascular Research, Centre de Recherche Public de la Santé (CRP-Santé), 84, Val Fleuri, L-1526 Luxembourg, Luxembourg.

Article

Publisher Item ID: S0300-9572(14)00750-3

DOI: 10.1016/j.resuscitation.2014.09.009

PubMed ID: 25260721

SO-VID: 7b95850a-0a47-4edb-8e7d-45e752fee552

History

Keywords: Prognosis,Prediction models.,Brain injury,Cardiac arrest,Electroencephalogram

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Keywords: Prognosis, Prediction models., Brain injury, Cardiac arrest, Electroencephalogram

Bispectral index to predict neurological outcome early after cardiac arrest.

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