Abnormal Electroencephalography as Predictor Of Mortality In Meningoencephalitis



Whisnu Nalendra Tama(1*), Sekar Satiti(2), Ahmad Asmedi(3)

(1) Department of Neurology, Faculty of Medicine UGM
(2) Department of Neurology, Faculty of Medicine Universitas Gadjah Mada, Yogyakarta, Indonesia
(3) Department of Neurology, Faculty of Medicine Universitas Gadjah Mada, Yogyakarta, Indonesia
(*) Corresponding Author

Abstract


Introduction. The Incidence of meningoencephalitis has decreased, but the mortality remains high. The electroencephalography (EEG) has a role in the management of meningoencephalitis although the imaging modalities have replaced its position. Abnormality in EEG may appear earlier than in imaging so it is expected to predict mortality. Aim. To investigate the prognostic role of EEG results in predicting mortality of meningoencephalitis. Method. This is an observational prospective cohort study. Meningoencephalitis patients in Dr. Sardjito General Hospital, Yogyakarta, Indonesia, from July 2016 through January 2017 underwent EEG examination. Subjects were divided into abnormal and normal EEG groups. The outcome was the mortality during hospitalization. The type of EEG abnormalities associated with mortality were evaluated. Results. Thirty-eight subjects were involved with the mean age was 33.61±20.37 year. Twenty-eight subjects (73.7%) had abnormal EEG result. Subject who died were 10 (26.3%) patients. Bivariate analysis showed that abnormal EEG result (p =0.028) and Glasgow Coma Scale (GCS) score (p =0.005) were significantly associated with mortality. Analysis for the type of EEG abnormalities found that only diffuse slowing (p =0,001) was significantly associated with mortality. Multivariate analysis showed either abnormal EEG result or GCS score were independently predict mortality. Abnormal EEG and GCS score were interrelated in affecting mortality. Conclusion. Abnormal EEG result in meningoencephalitis, diffuse slowing in particular, may predict mortality during hospitalization


Keywords


meningoencephalitis; electroencephalography; predictor; mortality; prognosis



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