Evidence map›Paper›PMID 41607500›Full record

ArticleFrontiers in aging neuroscience2025

Influence of anesthetic agent and burst suppression on postoperative delirium in elderly patients: a prospective cohort study with automated EEG analysis.

Maximilian Markus, Marc Dorenbeck, Vera Röhr, Sophie Leroy, Benjamin Blankertz, Emery N Brown, Claudia Spies, Susanne Koch

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Maximilian MarkusDepartment of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Freie Universität Berlin and Humboldt Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Marc DorenbeckDepartment of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Freie Universität Berlin and Humboldt Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Vera RöhrNeurotechnology Group, Technische Universität Berlin, Berlin, Germany.
Sophie LeroyDepartment of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Freie Universität Berlin and Humboldt Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Benjamin BlankertzNeurotechnology Group, Technische Universität Berlin, Berlin, Germany.
Emery N BrownHarvard-MIT Health Sciences and Technology Program, Massachusetts Institute of Technology, Cambridge, MA, United States.
Claudia SpiesDepartment of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Freie Universität Berlin and Humboldt Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Susanne KochDepartment of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Freie Universität Berlin and Humboldt Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Guidelines currently suggest considering EEG guidance during general anesthesia in elderly patients to avoid prolonged burst suppression (BS), with the aim of mitigating postoperative delirium (POD). Our study aimed to investigate the association between POD and intraoperative BS duration dependent on the general anesthetic agent used (propofol vs. sevoflurane). Methods: In this prospective study (2019-2022), EEGs from 265 patients over 70 years undergoing general anesthesia were analyzed for intraoperative BS duration both visually and using one new automated algorithm to evaluate its accuracy. Associations between BS duration, anesthetic agent, and postoperative delirium (POD) were evaluated using multivariable logistic regression, adjusting for confounders. Results: BS duration was markedly shorter than in prior cohorts but did not reduce overall postoperative delirium (POD) incidence. POD occurred more frequently with sevoflurane than propofol (44% vs. 30%, Conclusion: Sevoflurane markedly increased POD risk versus propofol, independent of BS duration. Sevoflurane and BS interaction amplified delirium odds. BS appears a vulnerability marker rather than a causal factor. The validated machine-learning BS detector offers a reliable tool for future EEG-based delirium risk research.

Indexed as

burst suppressionelderlygeneral anesthesiaintraoperative EEGpostoperative delirium

Identifiers

PMID41607500
PMCPMC12835323

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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.