Clinical application of amplitude-integrated electroencephalogram in children with disturbance of consciousness
10.3760/cma.j.cn101070-20191115-01136
- VernacularTitle:振幅整合脑电图在意识障碍患儿中的临床应用
- Author:
Junying QIAO
1
;
Yaru DONG
;
Fan LI
;
Chenhang CUI
;
Yuanbo ZHAO
Author Information
1. 郑州大学第三附属医院儿科 450052
- From:
Chinese Journal of Applied Clinical Pediatrics
2020;35(18):1398-1402
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the clinical application value of amplitude-integrated electroencephalogram (aEEG) in evaluating the prognosis of brain function in children with disturbance of consciousness.Methods:A total of 100 children with disturbance of consciousness admitted to the pediatric intensive care unit (PICU) in the Third Affiliated Hospital of Zhengzhou University from October 2018 to September 2019 were enrolled.All patients completed aEEG and video electroencephalogram (vEEG) (monitoring hours≥ 6 h), modified Glasgow coma scale (GCS) rating, peripheral blood brain injury marker S100β protein and neuron-specific enolase (NSE) detection within 48 hours of admission.The prognosis was evaluated based on the above results.The actual prognosis of the children was recorded by telephone follow-up based on the pediatric cerebral performance category score (PCPC) until 6 months of onset or clinical death.The receiver operating characteristic curve (ROC) was used to analyze and compare the clinical efficacy of aEEG, vEEG, improved GCS, S100β protein, and NSE in evaluating the prognosis of brain function in children with disturbance of consciousness. Kappa consistency test was made to evaluate the correlation between the estimated prognosis and the actual prognosis. Results:The area under the ROC curve (AUC) of aEEG, vEEG, improved GCS, S100β protein and NSE was 0.847, 0.810, 0.729, 0.685 and 0.784, respectively, indicating the five methods had statistically significant value in evaluating the prognosis of brain function (all P<0.05). Taking the Z value as the gold standard, the clinical efficacy of aEEG in evaluating the prognosis of brain function was significantly different from that of S100β ( Z>1.96, P<0.05), but showed no significant difference with that of other 3 methods.Using the best cut-off value as the gold standard for evaluating the prognosis, aEEG had the highest sensitivity to evaluate a poor prognosis (90.5%). The Kappa consistency test showed that the prognosis predicted by aEEG was consistent with the actual prognosis ( Kappa=0.550, P<0.01). Conclusions:aEEG has a good evaluation value for the brain function prognosis of children with disturbance of consciousness.aEEG has high sensitivity, and the predicated prognosis is consistent with the actual clinical prognosis, so it can be widely used in the diagnosis and treatment of PICU.
