Evidence map›Paper›PMID 40790489›Full record

Observational studyJournal of cardiothoracic surgery2025

Early alpha power in the frontal lobe area can predict delirium after cardiac surgery.

Fengbo Pei, Xupeng Yang, Pengfei Chen, Jinhua Wei, Yao Yao, Zhou Zhao, Hui Wu, Yi Shi, Zujun Chen

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Fengbo Pei *Department of Cardiovascular Surgery, Peking University People's Hospital, Beijing, China.
Xupeng Yang *Department of Cardiovascular Surgery, Peking University People's Hospital, Beijing, China.
Pengfei Chen *Department of Cardiovascular Surgery, Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China.
Jinhua WeiDepartment of Cardiovascular Surgery, Peking University People's Hospital, Beijing, China.
Yao YaoDepartment of Cardiovascular Surgery, Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China.
Zhou ZhaoDepartment of Cardiovascular Surgery, Peking University People's Hospital, Beijing, China.
Hui WuDepartment of Cardiovascular Surgery, Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China.
Yi ShiDepartment of Cardiovascular Surgery, Peking University People's Hospital, Beijing, China. shiyi@outlook.com.
Zujun ChenDepartment of Cardiovascular Surgery, Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China. chenzujun-fw@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelirium is a common postoperative complication in patients undergoing cardiac surgery and is associated with prolonged hospitalization and persistent cognitive impairment. This study aimed to assess the predictive value of alpha power in various brain regions at different time points for postoperative delirium.

methodsPatients scheduled for routine cardiac surgery were prospectively enrolled. All participants underwent 12-hour ambulatory electroencephalography (EEG) monitoring immediately upon admission to the intensive care unit (ICU). Delirium was assessed daily using the CAM-ICU criteria for five postoperative days. Alpha power in the frontal, parietal, and occipital lobes was analyzed at three time points: immediately (T0), at 6 h, and at 12 h postoperatively.

resultsAmong the 106 patients in the training cohort, 45 developed postoperative delirium. These patients had a higher incidence of hypertension and prolonged extracorporeal circulation and aortic clamping times. Alpha power in the frontal lobe at T0 was identified as the most accurate predictor of delirium, with an area under the curve (AUC) of 0.91 (95% CI: 0.84-0.97). The validation cohort (n = 74) showed consistent results with an AUC of 0.9188 (95% CI: 0.87-0.99; P < 0.001).

conclusionFrontal lobe alpha power measured immediately postoperatively could be a reliable neurophysiological biomarker for predicting delirium after cardiac surgery, outperforming conventional clinical predictors (AUC 0.91 vs. 0.70).

Indexed as

Alpha RhythmCardiac Surgical ProceduresEmergence DeliriumFrontal LobeAdultAgedFemaleHumansMaleMiddle AgedModels, NeurologicalPredictive Value of TestsProspective StudiesAlpha powerCardiac surgeryDeliriumElectroencephalogram

Identifiers

PMID40790489
PMCPMC12341309

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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.