Time to Awakening and Self-Fulfilling Prophecies After Cardiac Arrest.

ABSTRACT:

Objectives

Withdrawal of life-sustaining therapies for perceived poor neurologic prognosis (WLST-N) is common after resuscitation from cardiac arrest and may bias outcome estimates from models trained using observational data. We compared several approaches to outcome prediction with the goal of identifying strategies to quantify and reduce this bias.

Design

Retrospective observational cohort study.

Setting

Two academic medical centers ("UPMC" and "University of Alabama Birmingham" [UAB]).

Patients

Comatose adults resuscitated from cardiac arrest.

Intervention

None.

Measurements and main results

As potential predictors, we considered clinical, laboratory, imaging, and quantitative electroencephalography data available early after hospital arrival.

SUBMITTER: Elmer J 

PROVIDER: S-EPMC10023349 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature