Perioperative medicine & outcomes
Electroencephalogram Biomarkers from Anesthesia Induction to Identify Vulnerable Patients at Risk for Postoperative Delirium
Authors' conclusion
The findings suggest that electroencephalogram markers obtained during loss of consciousness at anesthesia induction may serve as electroencephalogram-based biomarkers to identify at an early time patients at risk of developing postoperative delirium.
Study context
- Population
- Patients older than 70 yr undergoing GA for planned surgery
- Participants
- 151 participants
- Exposure
- Postoperative delirium vs No postoperative delirium
- Postoperative deliriumn = 50
- Outcome
- EEG predictors of postoperative delirium (screened twice daily for 5 days)
Methodological detailssingle-centre
- Single-centre
Main finding
As reported in the abstract
Frontal EEG parameters after loss of consciousness
- Alpha band power at 1 min: Postoperative delirium 0.3 μV2 [0.21 to 0.71] vs No postoperative delirium 0.55 μV2 [0.36 to 0.74]
- P = 0.019
- Beta band power at 1 min: Postoperative delirium 0.27 μV2 [0.12 to 0.38] vs No postoperative delirium 0.38 μV2 [0.25 to 0.48]
- P = 0.003
- Spectral edge frequency at 1 min: Postoperative delirium 10.45 Hz [5.65 to 15.04] vs No postoperative delirium 14.56 Hz [9.51 to 16.65]
- P = 0.01
- Aperiodic offset at 15 min: Postoperative delirium 0.42 μV2 (0.11 to 0.69) vs No postoperative delirium 0.62 μV2 [0.37 to 0.79]
- P = 0.004
- Logistic regression model predicting postoperative delirium vulnerability, AUC (0.69 to 0.75)
- 0.73
Observational data: associations, not effects.
Further findings
Incidence of postoperative delirium · 5 days
- Developed postoperative delirium, 50 of 151
- 33%
Original publication
Electroencephalogram Biomarkers from Anesthesia Induction to Identify Vulnerable Patients at Risk for Postoperative Delirium. Anesthesiology. Published 31 January 2024. doi:10.
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