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Journal of Clinical Monitoring and Computing

Open Access 02-04-2024 | Original Research

Relationship between preinduction electroencephalogram patterns and propofol sensitivity in adult patients

Authors: Seungpyo Nam, Seokha Yoo, Sun-Kyung Park, Youngwon Kim, Jin-Tae Kim

Published in: Journal of Clinical Monitoring and Computing

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Abstract

Purpose

To determine the precise induction dose, an objective assessment of individual propofol sensitivity is necessary. This study aimed to investigate whether preinduction electroencephalogram (EEG) data are useful in determining the optimal propofol dose for the induction of general anesthesia in healthy adult patients.

Methods

Seventy healthy adult patients underwent total intravenous anesthesia (TIVA), and the effect-site target concentration of propofol was observed to measure each individual’s propofol requirements for loss of responsiveness. We analyzed preinduction EEG data to assess its relationship with propofol requirements and conducted multiple regression analyses considering various patient-related factors.

Results

Patients with higher relative delta power (ρ = 0.47, p < 0.01) and higher absolute delta power (ρ = 0.34, p = 0.01) required a greater amount of propofol for anesthesia induction. In contrast, patients with higher relative beta power (ρ = -0.33, p < 0.01) required less propofol to achieve unresponsiveness. Multiple regression analysis revealed an independent association between relative delta power and propofol requirements.

Conclusion

Preinduction EEG, particularly relative delta power, is associated with propofol requirements during the induction of general anesthesia. The utilization of preinduction EEG data may improve the precision of induction dose selection for individuals.
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Metadata
Title
Relationship between preinduction electroencephalogram patterns and propofol sensitivity in adult patients
Authors
Seungpyo Nam
Seokha Yoo
Sun-Kyung Park
Youngwon Kim
Jin-Tae Kim
Publication date
02-04-2024
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-024-01149-y