TY - JOUR
T1 - Propofol does not affect the reliability of early EEG for outcome prediction of comatose patients after cardiac arrest
AU - Ruijter, Barry J.
AU - van Putten, Michel J.A.M.
AU - van den Bergh, Walter M.
AU - Tromp, Selma C.
AU - Hofmeijer, Jeannette
PY - 2019/8/1
Y1 - 2019/8/1
N2 - Objective: To quantify the effects of propofol on the EEG after cardiac arrest and to assess their influence on predictions of outcome.Methods: In a prospective multicenter cohort study, we analyzed EEG recordings within the first 72 h after cardiac arrest. At six time points, EEGs were classified as favorable (continuous background), unfavorable (generalized suppression or synchronous patterns with ≥50% suppression), or intermediate. Quantitative EEG included measures for amplitude, background continuity, dominant frequency, and burst-suppression amplitude ratio (BSAR). The effect of propofol on each measure was estimated using mixed effects regression.Results: We included 496 patients. The EEG after propofol cessation had no additional value over EEG-based outcome predictions during propofol administration at 12 h after cardiac arrest. Propofol was associated with decreased EEG amplitude, background continuity and dominant frequency, and increased BSAR. However, propofol did neither increase the chance of unfavorable EEG patterns (adjusted odds ratio (aOR)0.95 per increase of 2 mg/kg/h, 95%-CI: 0.81–1.11)nor decrease the chance of favorable EEG patterns (aOR 0.98, 95%-CI: 0.89–1.09).Conclusions: Propofol induces changes of the postanoxic EEG, but does not affect its value for the prediction of outcome. Significance: We confirm the reliability of EEG-based outcome predictions in propofol-sedated patients after cardiac arrest.
AB - Objective: To quantify the effects of propofol on the EEG after cardiac arrest and to assess their influence on predictions of outcome.Methods: In a prospective multicenter cohort study, we analyzed EEG recordings within the first 72 h after cardiac arrest. At six time points, EEGs were classified as favorable (continuous background), unfavorable (generalized suppression or synchronous patterns with ≥50% suppression), or intermediate. Quantitative EEG included measures for amplitude, background continuity, dominant frequency, and burst-suppression amplitude ratio (BSAR). The effect of propofol on each measure was estimated using mixed effects regression.Results: We included 496 patients. The EEG after propofol cessation had no additional value over EEG-based outcome predictions during propofol administration at 12 h after cardiac arrest. Propofol was associated with decreased EEG amplitude, background continuity and dominant frequency, and increased BSAR. However, propofol did neither increase the chance of unfavorable EEG patterns (adjusted odds ratio (aOR)0.95 per increase of 2 mg/kg/h, 95%-CI: 0.81–1.11)nor decrease the chance of favorable EEG patterns (aOR 0.98, 95%-CI: 0.89–1.09).Conclusions: Propofol induces changes of the postanoxic EEG, but does not affect its value for the prediction of outcome. Significance: We confirm the reliability of EEG-based outcome predictions in propofol-sedated patients after cardiac arrest.
KW - Electroencephalography
KW - Outcome prediction
KW - Postanoxic encephalopathy
KW - Propofol
KW - Quantitative EEG
KW - Sedative medication
UR - http://www.scopus.com/inward/record.url?scp=85066332776&partnerID=8YFLogxK
U2 - 10.1016/j.clinph.2019.04.707
DO - 10.1016/j.clinph.2019.04.707
M3 - Article
AN - SCOPUS:85066332776
VL - 130
SP - 1263
EP - 1270
JO - Clinical neurophysiology
JF - Clinical neurophysiology
SN - 1388-2457
IS - 8
ER -