Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 1;140(5):1127-1139.
doi: 10.1213/ANE.0000000000007079.

Electroencephalographic Measures of Delirium in the Perioperative Setting: A Systematic Review

Affiliations

Electroencephalographic Measures of Delirium in the Perioperative Setting: A Systematic Review

Maria J Bruzzone et al. Anesth Analg. .

Abstract

Postoperative delirium (POD) is frequent in older adults and is associated with adverse cognitive and functional outcomes. In the last several decades, there has been an increased interest in exploring tools that easily allow the early recognition of patients at risk of developing POD. The electroencephalogram (EEG) is a widely available tool used to understand delirium pathophysiology, and its use in the perioperative setting has grown exponentially, particularly to predict and detect POD. We performed a systematic review to investigate the use of EEG in the pre-, intra-, and postoperative settings. We identified 371 studies, and 56 met the inclusion criteria. A range of techniques was used to obtain EEG data, from limited 1-4 channel setups to complex 256-channel systems. Power spectra were often measured preoperatively, yet the outcomes were inconsistent. During surgery, the emphasis was primarily on burst suppression (BS) metrics and power spectra, with a link between the frequency and timing of BS, and POD. The EEG patterns observed in POD aligned with those noted in delirium in different contexts, suggesting a reduction in EEG activity. Further research is required to investigate preoperative EEG indicators that may predict susceptibility to delirium.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest, Funding: Please see DISCLOSURES at the end of this article.

References

    1. Wilson JE, Mart MF, Cunningham C, et al. Delirium. Nat Rev Dis Primers. 2020;6:90.
    1. Boord MS, Moezzi B, Davis D, et al. Investigating how electroencephalogram measures associate with delirium: a systematic review. Clin Neurophysiol. 2021;132:246–257.
    1. Inouye SK, Westendorp RG, Saczynski JS. Delirium in elderly people. Lancet. 2014;383:911–922.
    1. Koirala B, Hansen BR, Hosie A, et al. Delirium point prevalence studies in inpatient settings: a systematic review and meta-analysis. J Clin Nurs. 2020;29:2083–2092.
    1. Fick DM, Steis MR, Waller JL, Inouye SK. Delirium superimposed on dementia is associated with prolonged length of stay and poor outcomes in hospitalized older adults. J Hosp Med. 2013;8:500–505.

Publication types

MeSH terms