Early risk stratification for progression to death by neurological criteria following out-of-hospital cardiac arrest.

ABSTRACT:

Background

Some patients resuscitated from out-of-hospital cardiac arrest (OHCA) progress to death by neurological criteria (DNC). We hypothesized that initial brain imaging, electroencephalography (EEG), and arrest characteristics predict progression to DNC.

Methods

We identified comatose OHCA patients from January 2010 to February 2020 treated at a single quaternary care facility in Western Pennsylvania. We abstracted demographics and arrest characteristics; Pittsburgh Cardiac Arrest Category, initial motor exam and pupillary light reflex; initial brain computed tomography (CT) grey-to-white ratio (GWR), sulcal or basal cistern effacement; initial EEG background and suppression ratio. We used two modeling approaches: fast and frugal tree (FFT) analysis to create an interpr

SUBMITTER: Coppler PJ 

PROVIDER: S-EPMC12820944 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature