Cargando…

Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest

INTRODUCTION: Early prediction of a good outcome in comatose patients after cardiac arrest still remains an unsolved problem. The main aim of the present study was to examine the accuracy of middle-latency SSEP triggered by a painful electrical stimulation on median nerves to predict a favorable out...

Descripción completa

Detalles Bibliográficos
Autores principales: Zanatta, Paolo, Linassi, Federico, Mazzarolo, Anna Paola, Aricò, Maria, Bosco, Enrico, Bendini, Matteo, Sorbara, Carlo, Ori, Carlo, Carron, Michele, Scarpa, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647335/
https://www.ncbi.nlm.nih.gov/pubmed/26573633
http://dx.doi.org/10.1186/s13054-015-1119-y
_version_ 1782401076036632576
author Zanatta, Paolo
Linassi, Federico
Mazzarolo, Anna Paola
Aricò, Maria
Bosco, Enrico
Bendini, Matteo
Sorbara, Carlo
Ori, Carlo
Carron, Michele
Scarpa, Bruno
author_facet Zanatta, Paolo
Linassi, Federico
Mazzarolo, Anna Paola
Aricò, Maria
Bosco, Enrico
Bendini, Matteo
Sorbara, Carlo
Ori, Carlo
Carron, Michele
Scarpa, Bruno
author_sort Zanatta, Paolo
collection PubMed
description INTRODUCTION: Early prediction of a good outcome in comatose patients after cardiac arrest still remains an unsolved problem. The main aim of the present study was to examine the accuracy of middle-latency SSEP triggered by a painful electrical stimulation on median nerves to predict a favorable outcome. METHODS: No- and low-flow times, pupillary reflex, Glasgow motor score and biochemical data were evaluated at ICU admission. The following were considered within 72 h of cardiac arrest: highest creatinine value, hyperthermia occurrence, EEG, SSEP at low- (10 mA) and high-intensity (50 mA) stimulation, and blood pressure reactivity to 50 mA. Intensive care treatments were also considered. Data were compared to survival, consciousness recovery and 6-month CPC (Cerebral Performance Category). RESULTS: Pupillary reflex and EEG were statistically significant in predicting survival; the absence of blood pressure reactivity seems to predict brain death within 7 days of cardiac arrest. Middle- and short-latency SSEP were statistically significant in predicting consciousness recovery, and middle-latency SSEP was statistically significant in predicting 6-month CPC outcome. The prognostic capability of 50 mA middle-latency-SSEP was demonstrated to occur earlier than that of EEG reactivity. CONCLUSIONS: Neurophysiological evaluation constitutes the key to early information about the neurological prognostication of postanoxic coma. In particular, the presence of 50 mA middle-latency SSEP seems to be an early and reliable predictor of good neurological outcome, and its absence constitutes a marker of poor prognosis. Moreover, the absence 50 mA blood pressure reactivity seems to identify patients evolving towards the brain death.
format Online
Article
Text
id pubmed-4647335
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-46473352015-11-18 Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest Zanatta, Paolo Linassi, Federico Mazzarolo, Anna Paola Aricò, Maria Bosco, Enrico Bendini, Matteo Sorbara, Carlo Ori, Carlo Carron, Michele Scarpa, Bruno Crit Care Research INTRODUCTION: Early prediction of a good outcome in comatose patients after cardiac arrest still remains an unsolved problem. The main aim of the present study was to examine the accuracy of middle-latency SSEP triggered by a painful electrical stimulation on median nerves to predict a favorable outcome. METHODS: No- and low-flow times, pupillary reflex, Glasgow motor score and biochemical data were evaluated at ICU admission. The following were considered within 72 h of cardiac arrest: highest creatinine value, hyperthermia occurrence, EEG, SSEP at low- (10 mA) and high-intensity (50 mA) stimulation, and blood pressure reactivity to 50 mA. Intensive care treatments were also considered. Data were compared to survival, consciousness recovery and 6-month CPC (Cerebral Performance Category). RESULTS: Pupillary reflex and EEG were statistically significant in predicting survival; the absence of blood pressure reactivity seems to predict brain death within 7 days of cardiac arrest. Middle- and short-latency SSEP were statistically significant in predicting consciousness recovery, and middle-latency SSEP was statistically significant in predicting 6-month CPC outcome. The prognostic capability of 50 mA middle-latency-SSEP was demonstrated to occur earlier than that of EEG reactivity. CONCLUSIONS: Neurophysiological evaluation constitutes the key to early information about the neurological prognostication of postanoxic coma. In particular, the presence of 50 mA middle-latency SSEP seems to be an early and reliable predictor of good neurological outcome, and its absence constitutes a marker of poor prognosis. Moreover, the absence 50 mA blood pressure reactivity seems to identify patients evolving towards the brain death. BioMed Central 2015-11-17 2015 /pmc/articles/PMC4647335/ /pubmed/26573633 http://dx.doi.org/10.1186/s13054-015-1119-y Text en © Zanatta et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zanatta, Paolo
Linassi, Federico
Mazzarolo, Anna Paola
Aricò, Maria
Bosco, Enrico
Bendini, Matteo
Sorbara, Carlo
Ori, Carlo
Carron, Michele
Scarpa, Bruno
Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest
title Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest
title_full Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest
title_fullStr Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest
title_full_unstemmed Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest
title_short Pain-related Somato Sensory Evoked Potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest
title_sort pain-related somato sensory evoked potentials: a potential new tool to improve the prognostic prediction of coma after cardiac arrest
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647335/
https://www.ncbi.nlm.nih.gov/pubmed/26573633
http://dx.doi.org/10.1186/s13054-015-1119-y
work_keys_str_mv AT zanattapaolo painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT linassifederico painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT mazzaroloannapaola painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT aricomaria painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT boscoenrico painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT bendinimatteo painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT sorbaracarlo painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT oricarlo painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT carronmichele painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest
AT scarpabruno painrelatedsomatosensoryevokedpotentialsapotentialnewtooltoimprovetheprognosticpredictionofcomaaftercardiacarrest