急性心肌梗死患者院内死亡风险预测模型的研究进展

Research progress of in-hospital mortality risk model in patients with acute myocardial infarction

急性心肌梗死(AMI)的院内病死率高,严重威胁患者生命健康。目前许多国家和地区已经建立了多种用于预测AMI患者院内死亡风险的客观评估模型,在对不同危险分层的患者拟定治疗方案时提供了重要的决策辅助支持。随着人工智能的兴起,许多新的建模方法也在传统建模的基础上显示出一定的优势。本文将对常用的以及新近构建的AMI院内死亡风险预测模型进行系统介绍,以期为医护人员在临床中应用模型辅助决策提供帮助,并为将来建立更为安全有效的风险预测模型提供参考。

The incidence of in-hospital death in acute myocardial infarction(AMI)is high,which seriously threatens the life and health of patients.At present,many countries and regions have established a variety of objective assessment models for predicting the in-hospital mortality of patients with AMI,providing important decision-making support for patients with different risk levels when formulating treatment plans.With the rise of artificial intelligence,many new modeling methods also show certain advantages over the traditional models.This article systematically introduces the commonly used and newly constructed risk prediction models for in-hospital mortality of AMI,in order to provide help for medical staff to assist decision-making in clinical practice,and provide reference for the establishment of a safe and more effective risk prediction model in the future.