EGFR slope as predictor of mortality in heart failure patients.

ABSTRACT:

Aims

Heart failure (HF) leads to an imbalance between heart and kidney function, resulting in poor outcomes. However, the prognostic significance of the estimated glomerular filtration rate (eGFR) trajectory in HF patients remains unclear. We analysed electronic health records (EHRs) of real-world HF patients, assessing eGFR trajectories and their impact on mortality.

Methods and results

Retrospective clinical data of HF patients were processed using natural language processing. Chronic kidney disease (CKD) was evaluated, and eGFR trajectories were analysed using linear mixed-effects models. Cox proportional hazard models were used to evaluate the relationship between baseline variables and mortality, while joint modelling combined eGFR trends and mortality. The dataset comp

SUBMITTER: Verstreken S 

PROVIDER: S-EPMC11911612 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature