Research progress on risk prediction of cardiac arrest
10.3760/cma.j.cn121430-20231128-01015
- VernacularTitle:心搏骤停风险预测的研究进展
- Author:
Zhenyuan LI
1
;
Maiying FAN
;
Xiquan YAN
;
Jieying LUO
;
Yixiao XU
;
Junwen SU
;
Xiaotong HAN
Author Information
1. 湖南省人民医院（湖南师范大学附属第一医院）急诊医学科，长沙 410000
- Keywords:
Cardiac arrest;
Prediction;
Risk factor;
Evaluation index;
Early warning;
Artificial intelligence
- From:
Chinese Critical Care Medicine
2024;36(3):320-325
- CountryChina
- Language:Chinese
-
Abstract:
Cardiac arrest (CA) is a serious cardiac event, which has a high incidence and low survival rate at home and abroad. In order to predict the risk of CA in advance, a large number of studies have been conducted by relevant researchers. This paper mainly summarizes the characteristics and research status of the existing analysis and prediction of CA from three aspects: the risk prediction factors of CA, the evaluation index of risk prediction of CA and the early warning scoring system of CA. We hope it can help medical staff to understand the current progress in this field, and provide new ways and methods for predicting the risk of CA.
