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Paediatric anaesthesia · Dec 2009
Randomized Controlled TrialAnesthetic-specific electroencephalographic patterns during emergence from sevoflurane and isoflurane in infants and children.
- Sansan S Lo, Julia B Sobol, Navin Mallavaram, Margaret Carson, Chung Chang, Philip G Grieve, Ronald G Emerson, Raymond I Stark, and Lena S Sun.
- Department of Anesthesiology, Columbia University, New York, NY 10032, USA.
- Paediatr Anaesth. 2009 Dec 1;19(12):1157-65.
BackgroundDevices that monitor the depth of anesthesia are increasingly used to titrate sedation and avoid awareness during anesthesia. Many of these monitors are based upon electroencephalography (EEG) collected from large adult reference populations and not pediatric populations (Anesthesiology, 86, 1997, 836; Journal of Anaesthesia, 92, 2004, 393; Anesthesiology, 99, 2003, 34). We hypothesized that EEG patterns in children would be different from those previously reported in adults and that they would show anesthetic-specific characteristics.MethodsThis prospective observational study was approved by the Institutional Review Board, and informed written consent was obtained. Patients were randomized to receive maintenance anesthesia with isoflurane or sevoflurane. EEG data collection included at least 10 min at steady-state maintenance anesthesia. The EEG was recorded continuously through emergence until after extubation. A mixed model procedure was performed on global and regional power by pooled data analysis and by analyzing each anesthetic group separately. Statistical significance was defined as P < 0.05.ResultsThirty-seven children completed the study (ages 22 days-3.6 years). Isoflurane and sevoflurane had different effects on global and regional EEG power during emergence from anesthesia, and frontal predominance patterns were significantly different between these two anesthetic agents.ConclusionsThe principal finding of the present study was that there are anesthetic-specific and concentration-dependent EEG effects in children. Depth-of-anesthesia monitors that utilize algorithms based on the EEGs of adult reference populations therefore may not be appropriate for use in children.
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