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An approach to using pharmacokinetics and electroencephalography for propofol anesthesia for surgery in infants
Ting Xu1,2, Charles Dean Kurth3, Ian Yuan4
1Department of Anesthesiology and Department of Translational Neuroscience Center, West China Hospital, Sichuan University & The Research Units of West China (2018RU012) Chinese Academy of Medical Sciences, Chengdu, China.
Insights
Implementing propofol total intravenous anesthesia (TIVA) in infants requires combining pharmacokinetic models with EEG analysis. This approach helps tailor propofol dosing for infants, improving safety and efficacy in pediatric anesthesia.
Area of Science:
- Anesthesiology
- Pediatric Anesthesia
- Pharmacokinetics
Background:
- Propofol total intravenous anesthesia (TIVA) techniques in infants are not standardized, leading to dosing challenges.
- Practitioner unfamiliarity with TIVA in infants can result in over- or under-dosing.
- Existing pharmacokinetic models show significant inter-individual variability in infants.
Purpose of the Study:
- To describe an educational approach for TIVA dosing in infants and toddlers (birth to 36 months).
- To integrate pharmacokinetic models with electroencephalogram (EEG) multi-parameter analysis for precise propofol dosing.
- To address the challenges of biological variability in pediatric TIVA.
Main Methods:
- Utilized pharmacokinetic models to predict propofol and remifentanil effect-site concentrations (Ce).
- Employed EEG analysis, including spectral edge frequency (SEF) and density spectral array (DSA), to assess anesthetic depth.
- Applied a "lookup table" or target-controlled infusion (TCI) based on age-specific dosing regimens.
Main Results:
- Pharmacokinetic models indicate younger infants need higher loading doses and lower maintenance doses of propofol.
- EEG parameters (SEF, DSA, waveform patterns) were found to reflect propofol Ce in infants.
- EEG analysis helped adjust propofol dosing to individual infant needs, mitigating model variability.
Conclusions:
- Combining pharmacokinetic models with EEG analysis provides a robust method for TIVA in infants.
- This integrated approach improves the precision and safety of propofol dosing in pediatric anesthesia.
- EEG monitoring is crucial for individualizing TIVA in infants, overcoming pharmacokinetic model limitations.
Abstract:
Safe and effective techniques for propofol total intravenous anesthesia (TIVA) in infants are not well imbedded into clinical practice, resulting in practitioner unfamiliarity and potential for over- and under-dosing. In this education article, we describe our approach to TIVA dosing in infants and toddlers (birth to 36 months) which combines the use of pharmacokinetic models with EEG multi-parameter analysis. Pharmacokinetic models describe propofol and remifentanil effect site concentrations (Ce) over time in different age groups for a given dosing regimen. These models display substantial biological variability between individuals within age groups, impeding their application to clinical practice. Nevertheless, they reveal that younger infants require a higher propofol loading dose, a lower propofol maintenance dose, and a higher remifentanil dose compared with older infants. Proprietary EEG indices (eg, Bispectral Index) can serve as a biomarker of propofol Ce in adults and children to guide dosing to the individual patient; however, they are not recommended for infants as their validity remains uncertain this population. In our experience, EEG waveforms and processed parameters can reflect propofol Ce in infants, reflected by spectral edge frequency (SEF), density spectral array (DSA), and waveform patterns. In our practice, we use a "lookup table" of age-based dosing regimens or target-controlled infusion (TCI) based on the pharmacokinetic models to deliver a target propofol Ce and co-administer remifentanil and/or regional technique for analgesia. We analyze Electroencephalogram (EEG) waveforms, SEF, and DSA to adjust the propofol dose or TCI target concentration to the individual infant. EEG analysis mitigates against biological variability inherent in the pharmacokinetic models and has improved our experience with TIVA for infants.
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