Predictive value of amplitude integrated electroencephalogram combined with EEG monitoring PAV for short-term prognosis of patients with SACI
10.3969/j.issn.1009-0126.2023.10.015
- VernacularTitle:振幅整合脑电图联合脑电监测α波变异百分率评估重症急性脑梗死患者短期预后的价值
- Author:
Jie LIU
1
;
Xu PENG
;
Hong TAN
;
Dan ZHANG
;
Botao JIANG
Author Information
1. 410005 长沙市第一医院神经内科重症监护室
- Keywords:
brain infarction;
electroencephalography;
prognosis;
α percentage variation
- From:
Chinese Journal of Geriatric Heart Brain and Vessel Diseases
2023;25(10):1070-1073
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of amplitude integrated electroencephalogram(aEEG)combined with electroencephalogram monitoring α percentage variation(PAV)in evaluating the short-term prognosis of patients with severe acute cerebral infarction(SACI).Methods A total of 212 SACI patients hospitalized in our ICU from January 2020 to December 2022 were recruited and then divided into poor prognosis group(93 cases)and good prognosis group(119 cases)ac-cording to the mRS score at 90 d.The differences in aEEG and PAV were observed between the two groups.Multivariate logistic regression analysis was used to observe the relationship of aEEG and PAV with poor prognosis.ROC curve was plotted to analyze the clinical value of aEEG and PAV in predicting the prognosis of SACI patients.Results The incidence of poor prognosis was 43.9％in 212 patients at the 90th day.The patients from the poor prognosis group had significantly higher aEEG score but lower PAV than those in the good prognosis group(P＜0.01).Multivari-ate logistic regression analysis showed that aEEG was a risk factor for poor prognosis(OR=1.403,95％CI:1.114-3.287,P=0.011),and PAV was a protective factor for poor prognosis(OR=0.714,95％CI:0.591-0.837,P=0.006).ROC curve results revealed that PAV had a high-er sensitivity,specificity and AUC value than aEEG in predicting poor prognosis of SACI pa-tients,and their combination obtained better sensitivity,specificity and AUC value than aEEG or PAV alone in the prediction(P＜0.01).Conclusion The combined use of aEEG and PAV has high clinical value in predicting the prognosis of SACI patients.
