INTRODUCTION:
Sepsis-associated encephalopathy (SAE) refers to multifactorial syndrome manifested by diffuse cerebral dysfunction promoted by systemic responses to infections with no clinical or lab evidence of directly cerebral infections or other forms of encephalopathy. The electroencephalogram (EEG) is one of the methods that allow physicians to continuously monitor the brain and help management decision.EEG abnormalities observed in septic patients may reflect these neurotoxic processes. Characteristic EEG patterns during sepsis include lack of reactivity, excessive theta and delta activity, electrographic seizure, and periodic discharges.

AIM OF THE WORK:
Our study aimed to assess early EEG changes in patients admitted to ICU with SAE and its correlation with morbidity and mortality.

PATIENTS AND METHODS:
Eighty patients suffering from sepsis or septic shock were subjected to EEG recording to detect the role of EEG changes in predicting morbidity and mortality.

CONCLUSION:
EEG has the highest sensitivity and accuracy to predict 28-day mortality in sepsis and septic shock patients with SAE and can be used as univariate parameter in predicting mortality