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1.
J Clin Monit Comput ; 38(3): 603-612, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38108943

RESUMO

The electroencephalographic (EEG) activity during anesthesia emergence contains information about the risk for a patient to experience postoperative delirium, but the EEG dynamics during emergence challenge monitoring approaches. Substance-specific emergence characteristics may additionally limit the reliability of commonly used processed EEG indices during emergence. This study aims to analyze the dynamics of different EEG indices during anesthesia emergence that was maintained with different anesthetic regimens. We used the EEG of 45 patients under general anesthesia from the emergence period. Fifteen patients per group received sevoflurane, isoflurane (+ sufentanil) or propofol (+ remifentanil) anesthesia. One channel EEG and the bispectral index (BIS A-1000) were recorded during the study. We replayed the EEG back to the Conox, Entropy Module, and the BIS Vista to evaluate and compare the index behavior. The volatile anesthetics induced significantly higher EEG frequencies, causing higher indices (AUC > 0.7) over most parts of emergence compared to propofol. The median duration of "awake" indices (i.e., > 80) before the return of responsiveness (RoR) was significantly longer for the volatile anesthetics (p < 0.001). The different indices correlated well under volatile anesthesia (rs > 0.6), with SE having the weakest correlation. For propofol, the correlation was lower (rs < 0.6). SE was significantly higher than BIS and, under propofol anesthesia, qCON. Systematic differences of EEG-based indices depend on the drugs and devices used. Thus, to avoid early awareness or anesthesia overdose using an EEG-based index during emergence, the anesthetic regimen, the monitor used, and the raw EEG trace should be considered for interpretation before making clinical decisions.


Assuntos
Período de Recuperação da Anestesia , Anestésicos Inalatórios , Monitores de Consciência , Eletroencefalografia , Propofol , Sevoflurano , Humanos , Eletroencefalografia/métodos , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Propofol/administração & dosagem , Sevoflurano/administração & dosagem , Anestésicos Inalatórios/administração & dosagem , Anestesia Geral , Isoflurano/administração & dosagem , Reprodutibilidade dos Testes , Remifentanil/administração & dosagem , Sufentanil/administração & dosagem , Anestésicos Intravenosos/administração & dosagem , Idoso , Monitorização Fisiológica/métodos , Piperidinas , Monitorização Intraoperatória/métodos
2.
Brain Sci ; 12(1)2021 Dec 28.
Artigo em Inglês | MEDLINE | ID: mdl-35053781

RESUMO

PURPOSE: electroencephalographic (EEG) information is used to monitor the level of cortical depression of a patient undergoing surgical intervention under general anesthesia. The dynamic state transitions into and out of anesthetic-induced loss and return of responsiveness (LOR, ROR) present a possibility to evaluate the dynamics of the EEG induced by different substances. We evaluated changes in the EEG power spectrum during anesthesia emergence for three different anesthetic regimens. We also assessed the possible impact of these changes on processed EEG parameters such as the permutation entropy (PeEn) and the cerebral state index (CSI). METHODS: we analyzed the EEG from 45 patients, equally assigned to three groups. All patients were induced with propofol and the groups differed by the maintenance anesthetic regimen, i.e., sevoflurane, isoflurane, or propofol. We evaluated the EEG and parameter dynamics during LOR and ROR. For the emergence period, we focused on possible differences in the EEG dynamics in the different groups. RESULTS: depending on the substance, the EEG emergence patterns showed significant differences that led to a substance-specific early activation of higher frequencies as indicated by the "wake" CSI values that occurred minutes before ROR in the inhalational anesthetic groups. CONCLUSION: our results highlight substance-specific differences in the emergence from anesthesia that can influence the EEG-based monitoring that probably have to be considered in order to improve neuromonitoring during general anesthesia.

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