Early Identification of Resuscitated Patients with a Significant Coronary Disease in Out-of-Hospital Cardiac Arrest Survivors without ST-Segment Elevation
This study aimed to develop a machine learning (ML)-based model for identifying patients who had a significant coronary artery disease among out-of-hospital cardiac arrest (OHCA) survivors without ST-segment elevation (STE). This multicenter observational study used data from the Korean Hypothermia...
Main Authors: | Chun-Song Youn, Hahn Yi, Youn-Jung Kim, Hwan Song, Namkug Kim, Won-Young Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/10/23/5688 |
Similar Items
-
Which Out-of-Hospital Cardiac Arrest Patients without ST-Segment Elevation Benefit from Early Coronary Angiography? Results from the Korean Hypothermia Network Prospective Registry
by: Hwan Song, et al.
Published: (2021-01-01) -
Early coronary angioplasty fails to lower all‐cause mortality in patients with out‐of‐hospital cardiac arrest without ST‐segment elevation: A systematic review and meta‐analysis
by: Khalid Rashid, et al.
Published: (2024-02-01) -
Impact of early coronary angiography on the survival to discharge after out-of-hospital cardiac arrest
by: Jikyoung Shin, et al.
Published: (2017-06-01) -
Predictors of In-Hospital Mortality after Recovered Out-of-Hospital Cardiac Arrest in Patients with Proven Significant Coronary Artery Disease: A Retrospective Study
by: Trepa Maria, et al.
Published: (2020-01-01) -
CORONARY ANGIOGRAPHY FOLLOWING CARDIAC ARREST WITHOUT ST-SEGMENT ELEVATION: A MULTICENTER STUDY.
by: Aman Sinha
Published: (2023-12-01)