Harnessing the Plasma Proteome to Predict Mortality in Heart Failure Subpopulations.

ABSTRACT:

Background

We derived and validated proteomic risk scores (PRSs) for heart failure (HF) prognosis that provide absolute risk estimates for all-cause mortality within 1 year.

Methods

Plasma samples from individuals with HF with reduced ejection fraction (HFrEF; ejection fraction <40%; training/validation n=1247/762) and preserved ejection fraction (HFpEF; ejection fraction ≥50%; training/validation n=725/785) from 3 independent studies were run on the SomaScan Assay measuring ≈5000 proteins. Machine learning techniques resulted in unique 17- and 14-protein models for HFrEF and HFpEF that predict 1-year mortality. Discrimination was assessed via C-index and 1-year area under the curve (AUC), and survival curves were visualized. PRSs were also compared with Meta-Analysis Global

SUBMITTER: Chadwick J 

PROVIDER: S-EPMC11995852 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature