Multimodal Neuromonitoring During Pediatric Cardiac Surgery
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Cardiovascular Surgery (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382022000200251 |
Resumo: | Abstract Introduction: Neuromonitoring (electroencephalogram [EEG] and cerebral oximetry) is essential for appropriate anesthesia and neuroprotection assessment during pediatric cardiac surgery. Methods: We describe the intraoperative pediatric multimodal and multiparametric neuromonitoring pattern of the software system Neuron-Spectrum (Kandel®) that consists of continuous electroencephalogram (cEEG), spectral analysis, amplitude-integrated electroencephalogram (aEEG), depth of anesthesia monitor (NINDEX), and regional cerebral and somatic oximetry (near-infrared spectroscopy-INVOS™). A physiological algorithm for management using neuromonitoring and physiological data is also described. Results: Visual data examples are presented for interpretation of the cerebral perfusion and oxygenation, neurophysiological state, anesthesia depth, possible neurologic predictions, and identification of cerebral drug effects (EEG signature). Conclusion: The neuromonitoring model can be an effective tool for anesthesia control and to provide adequate cerebral oxygenation during surgery. |
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Brazilian Journal of Cardiovascular Surgery (Online) |
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Multimodal Neuromonitoring During Pediatric Cardiac SurgeryNeuroprotectionChildCardiac Surgical ProceduresAnesthesiaElectroencephalographyNear-infrared SpectroscopyAbstract Introduction: Neuromonitoring (electroencephalogram [EEG] and cerebral oximetry) is essential for appropriate anesthesia and neuroprotection assessment during pediatric cardiac surgery. Methods: We describe the intraoperative pediatric multimodal and multiparametric neuromonitoring pattern of the software system Neuron-Spectrum (Kandel®) that consists of continuous electroencephalogram (cEEG), spectral analysis, amplitude-integrated electroencephalogram (aEEG), depth of anesthesia monitor (NINDEX), and regional cerebral and somatic oximetry (near-infrared spectroscopy-INVOS™). A physiological algorithm for management using neuromonitoring and physiological data is also described. Results: Visual data examples are presented for interpretation of the cerebral perfusion and oxygenation, neurophysiological state, anesthesia depth, possible neurologic predictions, and identification of cerebral drug effects (EEG signature). Conclusion: The neuromonitoring model can be an effective tool for anesthesia control and to provide adequate cerebral oxygenation during surgery.Sociedade Brasileira de Cirurgia Cardiovascular2022-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382022000200251Brazilian Journal of Cardiovascular Surgery v.37 n.2 2022reponame:Brazilian Journal of Cardiovascular Surgery (Online)instname:Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)instacron:SBCCV10.21470/1678-9741-2020-0713info:eu-repo/semantics/openAccessKlamt,Jyrson GuilhermeGarcia,Waynice Neiva de PaulaCarvalho,Mariana deGarcia,Luis VicenteMenardi,Antonio Carloseng2022-04-28T00:00:00Zoai:scielo:S0102-76382022000200251Revistahttp://www.rbccv.org.br/https://old.scielo.br/oai/scielo-oai.php||rosangela.monteiro@incor.usp.br|| domingo@braile.com.br|| brandau@braile.com.br1678-97410102-7638opendoar:2022-04-28T00:00Brazilian Journal of Cardiovascular Surgery (Online) - Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV)false |
dc.title.none.fl_str_mv |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery |
title |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery |
spellingShingle |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery Klamt,Jyrson Guilherme Neuroprotection Child Cardiac Surgical Procedures Anesthesia Electroencephalography Near-infrared Spectroscopy |
title_short |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery |
title_full |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery |
title_fullStr |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery |
title_full_unstemmed |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery |
title_sort |
Multimodal Neuromonitoring During Pediatric Cardiac Surgery |
author |
Klamt,Jyrson Guilherme |
author_facet |
Klamt,Jyrson Guilherme Garcia,Waynice Neiva de Paula Carvalho,Mariana de Garcia,Luis Vicente Menardi,Antonio Carlos |
author_role |
author |
author2 |
Garcia,Waynice Neiva de Paula Carvalho,Mariana de Garcia,Luis Vicente Menardi,Antonio Carlos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Klamt,Jyrson Guilherme Garcia,Waynice Neiva de Paula Carvalho,Mariana de Garcia,Luis Vicente Menardi,Antonio Carlos |
dc.subject.por.fl_str_mv |
Neuroprotection Child Cardiac Surgical Procedures Anesthesia Electroencephalography Near-infrared Spectroscopy |
topic |
Neuroprotection Child Cardiac Surgical Procedures Anesthesia Electroencephalography Near-infrared Spectroscopy |
description |
Abstract Introduction: Neuromonitoring (electroencephalogram [EEG] and cerebral oximetry) is essential for appropriate anesthesia and neuroprotection assessment during pediatric cardiac surgery. Methods: We describe the intraoperative pediatric multimodal and multiparametric neuromonitoring pattern of the software system Neuron-Spectrum (Kandel®) that consists of continuous electroencephalogram (cEEG), spectral analysis, amplitude-integrated electroencephalogram (aEEG), depth of anesthesia monitor (NINDEX), and regional cerebral and somatic oximetry (near-infrared spectroscopy-INVOS™). A physiological algorithm for management using neuromonitoring and physiological data is also described. Results: Visual data examples are presented for interpretation of the cerebral perfusion and oxygenation, neurophysiological state, anesthesia depth, possible neurologic predictions, and identification of cerebral drug effects (EEG signature). Conclusion: The neuromonitoring model can be an effective tool for anesthesia control and to provide adequate cerebral oxygenation during surgery. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382022000200251 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382022000200251 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21470/1678-9741-2020-0713 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Cirurgia Cardiovascular |
publisher.none.fl_str_mv |
Sociedade Brasileira de Cirurgia Cardiovascular |
dc.source.none.fl_str_mv |
Brazilian Journal of Cardiovascular Surgery v.37 n.2 2022 reponame:Brazilian Journal of Cardiovascular Surgery (Online) instname:Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV) instacron:SBCCV |
instname_str |
Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV) |
instacron_str |
SBCCV |
institution |
SBCCV |
reponame_str |
Brazilian Journal of Cardiovascular Surgery (Online) |
collection |
Brazilian Journal of Cardiovascular Surgery (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Cardiovascular Surgery (Online) - Sociedade Brasileira de Cirurgia Cardiovascular (SBCCV) |
repository.mail.fl_str_mv |
||rosangela.monteiro@incor.usp.br|| domingo@braile.com.br|| brandau@braile.com.br |
_version_ |
1752126603658264576 |