Preoperative biomarkers associated with delayed neurocognitive recovery
- PMID: 39266927
- PMCID: PMC11821442
- DOI: 10.1007/s10877-024-01218-2
Preoperative biomarkers associated with delayed neurocognitive recovery
Abstract
To identify baseline biomarkers of delayed neurocognitive recovery (dNCR) using monitors commonly used in anesthesia. In this sub-study of observational prospective cohorts, we evaluated adult patients submitted to general anesthesia in a tertiary academic center in the United States. Electroencephalographic (EEG) features and cerebral oximetry were assessed in the perioperative period. The primary outcome was dNCR, defined as a decrease of 2 scores in the global Montreal Cognitive Assessment (MoCA) between the baseline and postoperative period. Forty-six adults (median [IQR] age, 65 [15]; 57% females; 65% American Society of Anesthesiologists (ASA) 3 were analyzed. Thirty-one patients developed dNCR (67%). Baseline higher EEG power in the lower alpha band (AUC = 0.73 (95% CI 0.48-0.93)) and lower alpha peak frequency (AUC = 0.83 (95% CI 0.48-1)), as well as lower cerebral oximetry (68 [5] vs 72 [3], p = 0.011) were associated with dNCR. Higher EEG power in the lower alpha band, lower alpha peak frequency, and lower cerebral oximetry values can be surrogates of baseline brain vulnerability.
Keywords: Electroencephalography; General anesthesia; Neuropsychological tests; Oximetry; Postoperative cognitive complications; Surgery.
© 2024. The Author(s), under exclusive licence to Springer Nature B.V.
Conflict of interest statement
Declarations. Conflict of interests: Authors Mariana Thedim, Duygu Aydin and Rajesh Kumar declare they have no financial interests. Author Susana Vacas has received material support namely cerebral oximetry sensors provided by Masimo Corporation. Authors Matthias Kreuzer and Gerhard Schneider are co-inventors on several patents related to intraoperative EEG analysis owned by Columbia and TUM. Author Matthias Kreuzer received funding from Masimo Corporation, Narcotrend-Gruppe, Medtronic GmbH and Fresenius Kabi Deutschland GmbH for conducting EEG-based training for anesthesiologists. Authors Susana Vacas and Matthias Kreuzer are members of the editorial board of the Journal of Clinical Monitoring and Computing. Ethics approval: This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Institutional Review Board of the University of California Los Angeles (#19-001597 and #20-001456). Consent to participate: Written consent was obtained from all patients before study involvement.
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