TY - JOUR
T1 - Monitoring depth of anesthesia utilizing a combination of electroencephalographic and standard measures
AU - Schneider, Gerhard
AU - Jordan, Denis
AU - Schwarz, Gerhard
AU - Bischoff, Petra
AU - Kalkman, Cornelis J.
AU - Kuppe, Hermann
AU - Rundshagen, Ingrid
AU - Omerovic, Adem
AU - Kreuzer, Matthias
AU - Stockmanns, Gudrun
AU - Kochs, Eberhard F.
AU - Blum, Jasmin
AU - Hock, Andreas
AU - Horn, Bettina
AU - Jochum, Sybille
AU - Litscher, Gerhard
AU - Müller, Jakob
AU - Ningler, Michael
AU - Pichlmaier, Eva Christine
AU - Pilge, Stefanie
AU - Rutenberg, Argid
AU - Rutenberg, Raimund
AU - Schöpfer, Andreas
AU - Untergehrer, Gisela
AU - Arenbeck, Henry
AU - Gallinat, Michael
AU - Hensel, Thomas
AU - Lücke-Janssen, Daniela
N1 - Publisher Copyright:
Copyright © 2014, the American Society of Anesthesiologists, Inc. Lippincott Williams & Wilkins.
PY - 2014
Y1 - 2014
N2 - Background: For decades, monitoring depth of anesthesia was mainly based on unspecific effects of anesthetics, for example, blood pressure, heart rate, or drug concentrations. Today, electroencephalogram-based monitors promise a more specific assessment of the brain function. To date, most approaches were focused on a "head-to-head" comparison of either electroencephalogram- or standard parameter-based monitoring. In the current study, a multimodal indicator based on a combination of both electroencephalographic and standard anesthesia monitoring parameters is defined for quantification of "anesthesia depth." Methods: Two hundred sixty-three adult patients from six European centers undergoing surgery with general anesthesia were assigned to 1 of 10 anesthetic combinations according to standards of the enrolling hospital. The anesthesia multimodal index of consciousness was developed using a data-driven approach, which maps standard monitoring and electroencephalographic parameters into an output indicator that separates different levels of anesthesia from awake to electroencephalographic burst suppression. Obtained results were compared with either a combination of standard monitoring parameters or the electroencephalogram- based bispectral index. Results: The anesthesia multimodal index of consciousness showed prediction probability (PK) of 0.96 (95% CI, 0.95 to 0.97) to separate different levels of anesthesia (wakefulness to burst suppression), whereas the bispectral index had significantly lower PK of 0.80 (0.76 to 0.81) at corrected threshold P value of less than 0.05. At the transition between consciousness and unconsciousness, anesthesia multimodal index of consciousness yielded a PK of 0.88 (0.85 to 0.91). Conclusion: A multimodal integration of both standard monitoring and electroencephalographic parameters may more precisely reflect the level of anesthesia compared with monitoring based on one of these aspects alone.
AB - Background: For decades, monitoring depth of anesthesia was mainly based on unspecific effects of anesthetics, for example, blood pressure, heart rate, or drug concentrations. Today, electroencephalogram-based monitors promise a more specific assessment of the brain function. To date, most approaches were focused on a "head-to-head" comparison of either electroencephalogram- or standard parameter-based monitoring. In the current study, a multimodal indicator based on a combination of both electroencephalographic and standard anesthesia monitoring parameters is defined for quantification of "anesthesia depth." Methods: Two hundred sixty-three adult patients from six European centers undergoing surgery with general anesthesia were assigned to 1 of 10 anesthetic combinations according to standards of the enrolling hospital. The anesthesia multimodal index of consciousness was developed using a data-driven approach, which maps standard monitoring and electroencephalographic parameters into an output indicator that separates different levels of anesthesia from awake to electroencephalographic burst suppression. Obtained results were compared with either a combination of standard monitoring parameters or the electroencephalogram- based bispectral index. Results: The anesthesia multimodal index of consciousness showed prediction probability (PK) of 0.96 (95% CI, 0.95 to 0.97) to separate different levels of anesthesia (wakefulness to burst suppression), whereas the bispectral index had significantly lower PK of 0.80 (0.76 to 0.81) at corrected threshold P value of less than 0.05. At the transition between consciousness and unconsciousness, anesthesia multimodal index of consciousness yielded a PK of 0.88 (0.85 to 0.91). Conclusion: A multimodal integration of both standard monitoring and electroencephalographic parameters may more precisely reflect the level of anesthesia compared with monitoring based on one of these aspects alone.
UR - http://www.scopus.com/inward/record.url?scp=84902001285&partnerID=8YFLogxK
U2 - 10.1097/ALN.0000000000000151
DO - 10.1097/ALN.0000000000000151
M3 - Article
C2 - 24694845
AN - SCOPUS:84902001285
SN - 0003-3022
VL - 120
SP - 819
EP - 828
JO - Anesthesiology
JF - Anesthesiology
IS - 4
ER -