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The use of the bispectral index in the detection of pain in mechanically ventilated adults in the intensive care unit: a review of the literature.

Authors :
Coleman RM
Tousignant-Laflamme Y
Ouellet P
Parenteau-Goudreault É
Cogan J
Bourgault P
Source :
Pain research & management [Pain Res Manag] 2015 Jan-Feb; Vol. 20 (1), pp. e33-7. Date of Electronic Publication: 2014 Jul 22.
Publication Year :
2015

Abstract

Background: Pain assessment is an immense challenge for clinicians, especially in the context of the intensive care unit, where the patient is often unable to communicate verbally. Several methods of pain assessment have been proposed to assess pain in this environment. These include both behavioural observation scales and evaluation of physiological measurements such as heart rate and blood pressure. Although numerous validation studies pertaining to behavioural observation scales have been published, several limitations associated with using these measures for pain assessment remain. Over the past few years, researchers have been interested in the use of the bispectral index monitoring system as a proxy for the evaluation of encephalography readings to assess the level of anesthesia and, potentially, analgesia.<br />Objectives: To synthesize the main studies exploring the use of the bispectral index monitoring system for pain assessment, to guide future research in adults under sedation in the intensive care unit.<br />Method: The EMBASE, Medline, CINAHL and PsycINFO databases were searched for studies published between 1996 and 2013 that evaluated the use of the bispectral index in assessing pain.<br />Results: Most studies conclude that nociceptive stimulation causes a significant increase in the bispectral index and revealed the importance of controlling certain confounding variables such as the level of sedation.<br />Discussion: Further studies are needed to clearly demonstrate the relationship between nociceptive stimuli and the bispectral index, as well as the specificity of the bispectral index in detecting pain.

Details

Language :
English
ISSN :
1918-1523
Volume :
20
Issue :
1
Database :
MEDLINE
Journal :
Pain research & management
Publication Type :
Academic Journal
Accession number :
25050877
Full Text :
https://doi.org/10.1155/2015/981419