Combining relative alpha variability and electroencephalogram reactivity to predict the prognosis of hypoxic?ischemic encephalopathy in adult patients
10.3760/j.issn.0578-1426.2019.07.011
- VernacularTitle:相对α变异性联合脑电反应性对成人缺血缺氧性脑病的预后评估
- Author:
Li HUANG
1
;
Lina ZHANG
;
Jian WANG
;
Meilin AI
;
Chunguang ZHAO
;
Yang NING
;
Yimin WANG
;
Yuhang AI
Author Information
1. 中南大学湘雅医院重症医学科
- Keywords:
Relative alpha variability;
Electroencephalogram reactivity;
Hypoxia?ischemia brain encephalopathy;
Prognosis
- From:
Chinese Journal of Internal Medicine
2019;58(7):514-519
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the role of combining relative alpha variability and electroencephalogram (EEG) reactivity to predict the prognosis of hypoxic?ischemic encephalopathy(HIE) in adult patients. Methods A total of 28 adult patients with HIE admitted to general intensive care unit at Xiangya Hospital in Central South University were enrolled in this observational study from January2016 to April 2017. These patients with body temperature over 35℃after 72?hour admission could be continuously monitored at least 12 hours byEEG.At the same time,each patient was assessed for EEG reactivity.Then we analyzed the correlation between EEG reactivity, relative alpha variability and clinical prognosis. Results EEG reactivity was elicited in 15/28 patients, among whom 12 patients had a good outcome. While in the other 13 patients, EEG reactivity was not elicited, among whom only 3 patients had a good outcome. As to the results ofrelative alpha variability,11/13 patients with degree 3?4were of good prognosis; while only 3/15 patients with degree 1?2 were of good prognosis. Glasgow coma scale(GCS), EEG reactivity, and relative alpha variability were correlated with clinical outcome(χ2=5.073,9.073,-3.626, respectively,all P<0.05). The sensitivity of GCS, EEG reactivity,and relative alpha variability to predict the poor prognosis were 69.2%, 76.9%, 84.6%, respectively. The specificity were 73.3%, 80.0%, 73.3%, respectively. The consistency rates were 71.4%, 78.6%, 78.6%, respectively. The positive predictive values were 69.2%, 76.9%, 73.3%, respectively. The negative predictive values were 73.3%, 80.0%, 84.6%, respectively. More importantly, the accuracy of the relative alpha variability combined with EEG reactivity for the prediction of poor prognosis was much higher with the positive predictive value of 90.0%,the specificity of 93.3%,the sensitivity of 69.2%, the consistency rate of 82.1%,and the negative predictive values of 77.8%. Conclusions The combination of relative alpha variability and EEG reactivityis reliable to predict clinical outcome of patients with HIE.
