Quantitative Electroencephalogram Trends Predict Recovery in Hypoxic-Ischemic Encephalopathy.

ABSTRACT:

Objectives

Electroencephalogram features predict neurologic recovery following cardiac arrest. Recent work has shown that prognostic implications of some key electroencephalogram features change over time. We explore whether time dependence exists for an expanded selection of quantitative electroencephalogram features and whether accounting for this time dependence enables better prognostic predictions.

Design

Retrospective.

Setting

ICUs at four academic medical centers in the United States.

Patients

Comatose patients with acute hypoxic-ischemic encephalopathy.

Interventions

None.

Measurements and main results

We analyzed 12,397 hours of electroencephalogram from 438 subjects. From the electroencephalogram, we extracted 52 features that quantify s

SUBMITTER: Ghassemi MM 

PROVIDER: S-EPMC6746597 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature