Standardized visual EEG features predict outcome in patients with acute consciousness impairment of various etiologies.

ABSTRACT:

Background

Early prognostication in patients with acute consciousness impairment is a challenging but essential task. Current prognostic guidelines vary with the underlying etiology. In particular, electroencephalography (EEG) is the most important paraclinical examination tool in patients with hypoxic ischemic encephalopathy (HIE), whereas it is not routinely used for outcome prediction in patients with traumatic brain injury (TBI).

Method

Data from 364 critically ill patients with acute consciousness impairment (GCS ≤ 11 or FOUR ≤ 12) of various etiologies and without recent signs of seizures from a prospective randomized trial were retrospectively analyzed. Random forest classifiers were trained using 8 visual EEG features-first alone, then in combination with clinical fe

SUBMITTER: Muller M 

PROVIDER: S-EPMC7720582 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature