Anesthesiology · 2026
Quantitative Electroencephalogram Changes before and after Postoperative Delirium: A Prospective, Multicenter Cohort Study.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
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Van der A Julia, Lodema Yorben, Ten Bosch Lotus, Van Heesch Anna B, Van Montfort Simone J T, Kant Ilse M J, Spies Claudia, Van Dellen Edwin, Slooter Arjen J C
Аннотация
BACKGROUND: Delirium occurs frequently after major surgery in older adults and is associated with long-term cognitive dysfunction. While postoperative delirium (POD) shows electroencephalographic (EEG) changes during the acute phase, it remains unclear whether quantitative EEG alterations precede or persist after POD. Identifying such patterns could reveal risk markers and mechanisms of long-term cognitive dysfunction.
METHODS: In this prospective, multicenter cohort study, EEG recordings were obtained in patients aged 65 yr or older before and 3 months after major elective surgery without preexistent cognitive dysfunction, and in nonsurgical controls. The authors analyzed quantitative EEG measures that show alterations during acute delirium, namely relative power, phase-based and amplitude-based functional connectivity, spectral variability, and signal complexity. Linear mixed models were used to assess effects of time, surgery, and POD on these EEG measures.
RESULTS: Of 379 enrolled surgical patients, 330 had sufficient EEG data quality, of whom 59 (18%) developed POD. Fifty-seven nonsurgical controls were included and served as a reference. At baseline, future POD patients exhibited significantly lower beta amplitude-based connectivity (β = -0.36; Pcorrected = 0.04). No other EEG measures showed significant differences between groups at baseline. Three months after surgery, no persistent changes in quantitative EEG characteristics were observed in relation to POD occurrence or surgery alone.
CONCLUSIONS: This study identified reduced preoperative beta amplitude-based connectivity as a possible marker of neurophysiological vulnerability for POD. However, the absence of significant longitudinal changes in quantitative EEG measures suggests that resting-state EEG networks may functionally recover or compensate in this cohort at 3 months postoperative.
METHODS: In this prospective, multicenter cohort study, EEG recordings were obtained in patients aged 65 yr or older before and 3 months after major elective surgery without preexistent cognitive dysfunction, and in nonsurgical controls. The authors analyzed quantitative EEG measures that show alterations during acute delirium, namely relative power, phase-based and amplitude-based functional connectivity, spectral variability, and signal complexity. Linear mixed models were used to assess effects of time, surgery, and POD on these EEG measures.
RESULTS: Of 379 enrolled surgical patients, 330 had sufficient EEG data quality, of whom 59 (18%) developed POD. Fifty-seven nonsurgical controls were included and served as a reference. At baseline, future POD patients exhibited significantly lower beta amplitude-based connectivity (β = -0.36; Pcorrected = 0.04). No other EEG measures showed significant differences between groups at baseline. Three months after surgery, no persistent changes in quantitative EEG characteristics were observed in relation to POD occurrence or surgery alone.
CONCLUSIONS: This study identified reduced preoperative beta amplitude-based connectivity as a possible marker of neurophysiological vulnerability for POD. However, the absence of significant longitudinal changes in quantitative EEG measures suggests that resting-state EEG networks may functionally recover or compensate in this cohort at 3 months postoperative.