Unknown

Dataset Information

A novel risk score model for predicting mortality in heart failure with preserved ejection fraction: Insights from the CURE-HF Registry-ApHAC score.


ABSTRACT:

Aims

To create a simple risk score model to predict post-discharge mortality in patients with heart failure with preserved ejection fraction (HFpEF) after treatment for acute decompensated heart failure (HF).

Methods and results

This was a post-hoc analysis from the CURE-HF registry, which was a prospective multi-center cohort study conducted in Japan between July 2014 and March 2019. We included 378 consecutive patients with HFpEF (left ventricular ejection fraction ≥50%) who were followed for two years. The total cohort was randomly divided into two cohorts: the derivation (n = 278) and the validation (n = 100) cohort. The primary endpoint was all-cause mortality within two years. Logistic regression models were used to evaluate the associations between covariates and the

SUBMITTER: Aoki T 

PROVIDER: S-EPMC12456812 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature