Influence of midazolam premedication on intraoperative EEG signatures in elderly patients
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Author(s) • • • • •
Windmann, Victoria
Spies, Claudia
Brown, Emery Neal
Kishnan, Devika
Lichtner, Gregor
Koch, Susanne
Date Issued
September 2019
Journal
Clinical Neurophysiology
Publisher
Elsevier BV
Citation
Windmann, Victoria et al. "Influence of midazolam premedication on intraoperative EEG signatures in elderly patients." Clinical Neurophysiology 130, 9 (September 2019): 1673-1681 © 2019 International Federation of Clinical Neurophysiology
Version
Author's final manuscript
Abstract
Objective: To investigate the influence of midazolam premedication on the EEG-spectrum before and during general anesthesia in elderly patients.
Methods: Patients aged ≥65 years, undergoing elective surgery were included in this prospective observational study. A continuous pre- and intraoperative frontal EEG was recorded in patients who received premedication with midazolam (Mid, n = 15) and patients who did not (noMid, n = 30). Absolute power within the delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–12 Hz), and beta (12–25 Hz) frequency-bands was analyzed in EEG-sections before (pre-induction), and after induction of anesthesia with propofol (post-induction), as well as during general anesthesia with either propofol or volatile-anesthetics (intra-operative).
Results: Pre-induction, α-power of Mid patients was lower compared with noMid-patients (α-power: Mid: −10.75 dB vs. noMid: −9.20 dB; p = 0.036). After induction of anesthesia Mid-patients displayed a stronger increase of frontal α-power resulting in higher absolute α-power at post-induction state, (α-power: Mid −3.56 dB vs. noMid: −6.69 dB; p = 0.004), which remained higher intraoperatively (α-power: Mid: −2.12 dB vs. noMid: −6.10 dB; p = 0.024).
Conclusion: Midazolam premedication alters the intraoperative EEG-spectrum in elderly patients.
Significance: This finding provides further evidence for the role of GABAergic activation in the induction of elevated, frontal α-power during general anesthesia.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Picower Institute for Learning and Memory
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Harvard University--MIT Division of Health Sciences and Technology
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DOI of Published Version
https://doi.org/10.1016/j.clinph.2019.05.035