Evidence map›Paper›PMID 38108943›Full record

ArticleJournal of clinical monitoring and computing2024

Substance-dependent EEG during recovery from anesthesia and optimization of monitoring.

Marlene Lipp, Gerhard Schneider, Matthias Kreuzer, Stefanie Pilge

Registry-linked trialAbstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07339618 (Effects of Non-pharmacological Auditory and Somatosensory Stimulation on the Efficiency and Quality of Emergence From General Anesthesia), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07339618 narecruitingnot on this mapstarted 2025, after this paper: background citation

Effects of Non-pharmacological Auditory and Somatosensory Stimulation on the Efficiency and Quality of Emergence From General Anesthesia

TypeinterventionalSponsorWest China HospitalRan2025 to 2027Enrolled205ConditionsGeneral Anesthetic, ElectroencephalographicArmsVerbal Stimulation, Shoulder Tapping, Shoulder Shaking
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Observational
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Marlene LippDepartment of Anesthesiology and Intensive Care, School of Medicine, Technical University of Munich, Ismaningerstr 22, 81675, Munich, Germany. marlene.lipp@gmx.de.
Gerhard SchneiderDepartment of Anesthesiology and Intensive Care, School of Medicine, Technical University of Munich, Ismaningerstr 22, 81675, Munich, Germany.
Matthias Kreuzer *Department of Anesthesiology and Intensive Care, School of Medicine, Technical University of Munich, Ismaningerstr 22, 81675, Munich, Germany.
Stefanie Pilge *Department of Anesthesiology and Intensive Care, School of Medicine, Technical University of Munich, Ismaningerstr 22, 81675, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Anesthesia Recovery PeriodAnesthetics, InhalationConsciousness MonitorsElectroencephalographyPropofolSevofluraneAdultAgedAnesthesia, GeneralAnesthetics, IntravenousFemaleHumansIsofluraneMaleMiddle AgedMonitoring, IntraoperativeAnesthetics, InhalationAnesthetics, IntravenousIsofluranePiperidinesPropofolRemifentanilSevofluraneSufentanilAnesthesiaElectroencephalogramInhalational anestheticsMonitoringPropofol

Identifiers

PMID38108943
PMCPMC11164797

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.