Developing a Time-Adaptive Prediction Model for Out-of-Hospital Cardiac Arrest: Nationwide Cohort Study in Korea.

ABSTRACT:

Background

Out-of-hospital cardiac arrest (OHCA) is a serious public health issue, and predicting the prognosis of OHCA patients can assist clinicians in making decisions about the treatment of patients, use of hospital resources, or termination of resuscitation.

Objective

This study aimed to develop a time-adaptive conditional prediction model (TACOM) to predict clinical outcomes every minute.

Methods

We performed a retrospective observational study using data from the Korea OHCA Registry in South Korea. In this study, we excluded patients with trauma, those who experienced return of spontaneous circulation before arriving in the emergency department (ED), and those who did not receive cardiopulmonary resuscitation (CPR) in the ED. We selected patients who received C

SUBMITTER: Kim JW 

PROVIDER: S-EPMC8406108 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature