End-tidal Carbon Dioxide Trajectory-based Prognostication of Out-of-hospital Cardiac Arrest.

ABSTRACT:

Background

During cardiopulmonary resuscitation (CPR), end-tidal carbon dioxide (EtCO₂) is primarily determined by pulmonary blood flow, thereby reflecting the blood flow generated by CPR. We aimed to develop an EtCO₂ trajectory-based prediction model for prognostication at specific time points during CPR in patients with out-of-hospital cardiac arrest (OHCA).

Methods

We screened patients receiving CPR between 2015-2021 from a prospectively collected database of a tertiary-care medical center. The primary outcome was survival to hospital discharge. We used group-based trajectory modeling to identify the EtCO₂ trajectories. Multivariable logistic regression analysis was used for model development and internally validated using bootstrapping. W

SUBMITTER: Wang CH 

PROVIDER: S-EPMC11254150 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature