Development and validation of dynamic models to predict postdischarge mortality risk in patients with acute myocardial infarction: results from China Acute Myocardial Infarction Registry.

ABSTRACT:

Objectives

The risk of adverse events and prognostic factors are changing in different time phases after acute myocardial infarction (AMI). The incidence of adverse events is considerable in the early period after AMI hospitalisation. Therefore, dynamic risk prediction is needed to guide postdischarge management of AMI. This study aimed to develop a dynamic risk prediction instrument for patients following AMI.

Design

A retrospective analysis of a prospective cohort.

Setting

108 hospitals in China.

Participants

A total of 23 887 patients after AMI in the China Acute Myocardial Infarction Registry were included in this analysis.

Primary outcome measures

All-cause mortality.

Results

In multivariable analyses, age, prior stroke, heart rate, Killip cl

SUBMITTER: Lv J 

PROVIDER: S-EPMC10069604 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature