Analysis of risk factors and development of a prediction model for long-term prognosis in patients with ischemic heart failure after percutaneous coronary intervention.

ABSTRACT:

Background

This study aimed to investigate the factors influencing the long-term prognosis of patients with ischemic heart failure (IHF) after percutaneous coronary intervention (PCI) and to develop and validate a nomogram prediction model based on these key factors.

Methods

In this single-center and retrospective study, consecutive patients diagnosed with IHF who underwent PCI at the main campus of the Second Hospital of Hebei Medical University between January 2019 and September 2023 were included. A nomogram prediction model was developed based on key factors identified by Cox regression and least absolute shrinkage and selection operator (LASSO) regression. In addition, the patients treated at the branch campus of the Second Hospital of Hebei Medical University during th

SUBMITTER: Su L 

PROVIDER: S-EPMC12598039 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature