R Zanner1, S Pilge, E F Kochs, M Kreuzer, G Schneider. 1. Department of Anaesthesiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, Munich D-81675, Germany.
Abstract
BACKGROUND: Monitoring of anaesthetic depth with EEG-derived indices may detect EEG changes associated with awareness and thereby help to decrease the incidence of intraoperative awareness with postoperative recall. All currently available monitors need varying time periods to calculate a new index when reacting to changes in anaesthetic depth. The exact time delay for calculation of new index values is unknown. In a previous study, we used simulated EEG signals and found considerable time lags for the cerebral state index (Danmeter, Odense, Denmark), the bispectral index (Aspect Medical Systems Inc., Newton, MA, USA), and the Narcotrend index (MonitorTechnik, Bad Bramstedt, Germany). The aim of this study was to investigate whether the time delays observed with simulated EEG signals also applied to real EEG data. METHODS: We used perioperatively recorded EEG data from a database corresponding to the awake state, general anaesthesia, and suppression of cortical activity, respectively. After a switch from one state of consciousness to another, the time necessary for all indices to adjust the index value to the underlying input signal was measured. RESULTS: We found time delays for all indices between 24 (7) and 122 (23) s before the new state was indicated. In accordance with our previous results, these time delays were not constant and depended on the particular starting and target index value. Results were different for decreasing and increasing values. CONCLUSIONS: Our results may show a limitation of the value of electronic EEG indices in prevention of awareness with recall. Furthermore, due to different time delays for ascending and descending values, the results of pharmacodynamic studies may be influenced by this phenomenon.
BACKGROUND: Monitoring of anaesthetic depth with EEG-derived indices may detect EEG changes associated with awareness and thereby help to decrease the incidence of intraoperative awareness with postoperative recall. All currently available monitors need varying time periods to calculate a new index when reacting to changes in anaesthetic depth. The exact time delay for calculation of new index values is unknown. In a previous study, we used simulated EEG signals and found considerable time lags for the cerebral state index (Danmeter, Odense, Denmark), the bispectral index (Aspect Medical Systems Inc., Newton, MA, USA), and the Narcotrend index (MonitorTechnik, Bad Bramstedt, Germany). The aim of this study was to investigate whether the time delays observed with simulated EEG signals also applied to real EEG data. METHODS: We used perioperatively recorded EEG data from a database corresponding to the awake state, general anaesthesia, and suppression of cortical activity, respectively. After a switch from one state of consciousness to another, the time necessary for all indices to adjust the index value to the underlying input signal was measured. RESULTS: We found time delays for all indices between 24 (7) and 122 (23) s before the new state was indicated. In accordance with our previous results, these time delays were not constant and depended on the particular starting and target index value. Results were different for decreasing and increasing values. CONCLUSIONS: Our results may show a limitation of the value of electronic EEG indices in prevention of awareness with recall. Furthermore, due to different time delays for ascending and descending values, the results of pharmacodynamic studies may be influenced by this phenomenon.
Authors: Matthias Kreuzer; Matthew A Stern; Darren Hight; Sebastian Berger; Gerhard Schneider; James W Sleigh; Paul S García Journal: Anesthesiology Date: 2020-05 Impact factor: 7.892