Red blood cell distribution width to albumin ratio predicts mortality in heart failure patients with pneumonia.

ABSTRACT:

Background

Heart failure (HF) patients with pneumonia admitted to the intensive care unit (ICU) face high mortality risks, yet current risk stratification tools lack precision. This study aims to evaluate the prognostic value of the red blood cell distribution width to albumin ratio (RAR) and develop a machine learning model for predicting 31-day in-hospital mortality in HF patients with pneumonia in ICU.

Methods

We included the MIMIC-IV cohort and an external validation cohort from the First Affiliated Hospital of Zhengzhou University. The restricted cubic spline (RCS), Kaplan-Meier, and multivariable Cox regression analyses were used to estimate the RAR's prognostic value for 31-day in-hospital mortality. Boruta-selected features were used to build eight machine learning m

SUBMITTER: Su H 

PROVIDER: S-EPMC12916672 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature