Temporal linear mode complexity as a surrogate measure of the anesthetic drug effects during sevoflurane anesthesia

Korean journal of anesthesiology
Byung-Moon ChoiGyu-Jeong Noh

Abstract

The aims of this study were to compare the stability, correlation with end-tidal sevoflurane, and area below the effect (AUCeffect) vs. time curves of temporal linear mode complexity (TLMC) and approximate entropy (ApEn) during sevoflurane anesthesia. Another study goal was to characterize the time course of the effects of sevoflurane. Electroencephalogram (EEG) parame1ter stability was evaluated using the coefficients of variation (CV) of the median baseline (E0 ), maximal (Emax ), and individual median E0 - Emax values. Correlations between sevoflurane concentration and EEG parameters were tested. AUCeffect vs. time curves of TLMC and ApEn were calculated to quantitate any decrease in central nervous system activities. A sigmoid Emax model was used for pharmacodynamic modeling. TLMC and ApEn demonstrated CVs of 8.36 and 7.35 (for E0 ) and 19.61 and 13.45 (Emax ), respectively. The CVs of the individual median E0 - Emax values were 65.16 for TLMC and 59.97 for ApEn. The Spearman correlation coefficient was -0.3103 for TLMC and -0.3410 for ApEn (P < 0.001 for both parameters). The median AUCeffect value was 338.9 for TLMC and 246.5 for ApEn (P = 0.457). The final pharmacodynamic parameters estimated by sigmoid Emax models were ...Continue Reading

References

Apr 24, 1999·Computer Methods and Programs in Biomedicine·J ParkeB G Charles
Jul 17, 2004·Annual Review of Biomedical Engineering·Nitish V Thakor, Shanbao Tong
Sep 18, 2007·Epilepsy Research·Xiaoli LiDouglas A Richards

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Citations

Oct 4, 2016·Clinical and Experimental Pharmacology & Physiology·SangMin ChoeGyu-Jeong Noh

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Methods Mentioned

BETA
sedation

Software Mentioned

NONMEM
SPSS
ApEn
Phoenix WinNonlin
R
TLMC
fit4NM
Prism
Graphpad

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