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Dataset Information

Oxidative stress markers-driven prognostic model to predict post-discharge mortality in heart failure with reduced ejection fraction.


ABSTRACT:

Background

Current predictive models based on biomarkers reflective of different pathways of heart failure with reduced ejection fraction (HFrEF) pathogenesis constitute a useful tool for predicting death risk among HFrEF patients. The purpose of the study was to develop a new predictive model for post-discharge mortality risk among HFrEF patients, based on a combination of clinical patients' characteristics, N-terminal pro-B-type Natriuretic peptide (NT-proBNP) and oxidative stress markers as a potentially valuable tool for routine clinical practice.

Methods

116 patients with stable HFrEF were recruited in a prospective single-center study. Plasma levels of NT-proBNP and oxidative stress markers [superoxide dismutase (SOD), glutathione peroxidase (GPX), uric acid (UA), tota

SUBMITTER: Gtif I 

PROVIDER: S-EPMC9676261 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature