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Dataset Information

Construction of a predictive model for in-hospital mortality in patients with acute myocardial infarction complicated with cardiogenic shock.


ABSTRACT:

Background and objective

Acute myocardial infarction (AMI) complicated by cardiogenic shock (CS) carries a substantial risk of morbidity and mortality. However, a validated clinical prediction model for in-hospital mortality in these patients is still lacking. This study seeks to develop and validate a mortality risk prediction tool to assist clinicians in early identification of high-risk patients and guide personalized therapeutic interventions.

Methods

We conducted a retrospective analysis of clinical data from 1,419 patients diagnosed with AMI. Of these, 150 patients with AMI complicated by CS were enrolled. Participants were randomly assigned to a training group (70%) or a testing group (30%). Following logistic regression analysis, variables were selected using LASSO r

SUBMITTER: Yuan D 

PROVIDER: S-EPMC12571792 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature