Literature DB >> 26409220

EEG reactivity to pain in comatose patients: Importance of the stimulus type.

Spyridoula Tsetsou1, Jan Novy1, Mauro Oddo2, Andrea O Rossetti3.   

Abstract

INTRODUCTION: Electroencephalogram (EEG) background reactivity is a potentially interesting outcome predictor in comatose patients, especially after cardiac arrest, but recent studies report only fair interrater reliability. Furthermore, there are no definite guidelines for its testing. We therefore investigated the EEG effect of standardized noxious stimuli in comatose patients not reactive to auditory stimuli.
METHODS: In this prospective study we applied a protocol using three different painful stimuli (bilateral nipple pinching, pinprick at the nose base, finger-nail compression on each side), grouped in three distinct clusters with an alternated sequence, during EEG recordings in comatose patients. We only analyzed recordings showing any reactivity to pain. Fisher and χ2 tests were used as needed to assess contingency tables.
RESULTS: Of 42 studies, 12 did not show any background reactivity, 2 presented SIRPIDs, and 2 had massive artefacts; we thus analyzed 26 EEGs recorded in 17 patients (4 women, 24%). Nipple pinching more frequently induced a change in EEG background activity (p<0.001), with a sensitivity of 97.4% for reactivity. Neither the order of the stimuli in the cluster (p=0.723), nor the cluster order (p=0.901) influenced the results.
CONCLUSION: In this pilot study, bilateral, synchronous nipple pinching seems to be the most efficient method to test nociceptive EEG reactivity in comatose patients. This approach may enhance interrater reliability, but deserves confirmation in larger cohorts.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Background; Coma; Electroencephalogram; Nociception; Reactivity; Stimuli

Mesh:

Year:  2015        PMID: 26409220     DOI: 10.1016/j.resuscitation.2015.09.380

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  22 in total

Review 1.  Prognostic Value of EEG in Patients after Cardiac Arrest-An Updated Review.

Authors:  Wolfgang Muhlhofer; Jerzy P Szaflarski
Journal:  Curr Neurol Neurosci Rep       Date:  2018-03-10       Impact factor: 5.081

2.  Multimodal Outcome Prognostication After Cardiac Arrest and Targeted Temperature Management: Analysis at 36 °C.

Authors:  Spyridoula Tsetsou; Jan Novy; Christian Pfeiffer; Mauro Oddo; Andrea O Rossetti
Journal:  Neurocrit Care       Date:  2018-02       Impact factor: 3.210

3.  Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury.

Authors:  Edilberto Amorim; Michelle van der Stoel; Sunil B Nagaraj; Mohammad M Ghassemi; Jin Jing; Una-May O'Reilly; Benjamin M Scirica; Jong Woo Lee; Sydney S Cash; M Brandon Westover
Journal:  Clin Neurophysiol       Date:  2019-07-25       Impact factor: 3.708

4.  Continuous EEG monitoring enhances multimodal outcome prediction in hypoxic-ischemic brain injury.

Authors:  Edilberto Amorim; Jon C Rittenberger; Julia J Zheng; M Brandon Westover; Maria E Baldwin; Clifton W Callaway; Alexandra Popescu
Journal:  Resuscitation       Date:  2016-08-21       Impact factor: 5.262

5.  Comatose Patients After Cardiopulmonary Resuscitation: An Analysis Based on Quantitative Methods of EEG Reactivity.

Authors:  Huijin Huang; Yingying Su; Zikang Niu; Gang Liu; Xiaoli Li; Mengdi Jiang
Journal:  Front Neurol       Date:  2022-06-03       Impact factor: 4.086

Review 6.  Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches.

Authors:  Sara E Berger; Alexis T Baria
Journal:  Front Pain Res (Lausanne)       Date:  2022-06-02

7.  Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.

Authors:  Wei-Long Zheng; Edilberto Amorim; Jin Jing; Ona Wu; Mohammad Ghassemi; Jong Woo Lee; Adithya Sivaraju; Trudy Pang; Susan T Herman; Nicolas Gaspard; Barry J Ruijter; Marleen C Tjepkema-Cloostermans; Jeannette Hofmeijer; Michel J A M van Putten; M Brandon Westover
Journal:  IEEE Trans Biomed Eng       Date:  2022-04-21       Impact factor: 4.756

8.  MRI-EEG correlation for outcome prediction in postanoxic myoclonus: A multicenter study.

Authors:  Isabelle Beuchat; Adithya Sivaraju; Edilberto Amorim; Emily J Gilmore; Vincent Dunet; Andrea O Rossetti; M Brandon Westover; Liangge Hsu; Benjamin M Scirica; Danuzia Silva; Kathleen Tang; Jong Woo Lee
Journal:  Neurology       Date:  2020-06-01       Impact factor: 9.910

9.  Teaching Important Basic EEG Patterns of Bedside Electroencephalography to Critical Care Staffs: A Prospective Multicenter Study.

Authors:  Stephane Legriel; Gwenaëlle Jacq; Amandine Lalloz; Guillaume Geri; Pedro Mahaux; Cedric Bruel; Sandie Brochon; Benjamin Zuber; Cécile André; Krystel Dervin; Mathilde Holleville; Alain Cariou
Journal:  Neurocrit Care       Date:  2021-02       Impact factor: 3.210

10.  Brain functional connectivity during the first day of coma reflects long-term outcome.

Authors:  Thomas Kustermann; Nathalie Ata Nguepnjo Nguissi; Christian Pfeiffer; Matthias Haenggi; Rebekka Kurmann; Frédéric Zubler; Mauro Oddo; Andrea O Rossetti; Marzia De Lucia
Journal:  Neuroimage Clin       Date:  2020-05-27       Impact factor: 4.881

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