Related Experiment Video

Updated: Oct 6, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

281

Survival probability during one-year follow-up after index hospitalization for heart failure: an Italian

S Romano1, A Dante1, L Mammarella2

  • 1Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

Annali Di Igiene : Medicina Preventiva E Di Comunita
|January 21, 2022
PubMed

Insights

Older patients with heart failure (HF) and longer hospital stays face higher mortality risk. Early discharge home and higher education improve survival chances in HF patients.

Area of Science:

  • Cardiology
  • Public Health
  • Geriatrics

Background:

  • Heart failure (HF) affects 64 million globally, with high mortality despite resource allocation.
  • Investigating patient characteristics is crucial for improving HF prognosis.

Purpose of the Study:

  • To analyze the impact of patient characteristics on survival probability after heart failure hospitalization.
  • To identify key factors influencing one-year survival post-discharge for heart failure patients.

Main Methods:

  • Retrospective study of 1,929 patients hospitalized for heart failure.
  • One-year follow-up data collected post-discharge for survival analysis.

Main Results:

  • 14% of patients died within one year; 50% of these deaths occurred within three months.
  • Age ≥75 years (HR 3.19), longer index hospitalization ≥8 days (HR 1.53), and discharge not to home (HR 0.399) were associated with lower survival.
  • Higher education level (HR 0.517) was linked to improved survival.

Conclusions:

  • Older patients, particularly those with lower education and longer hospital stays, require enhanced post-discharge care.
  • Discharge destination significantly impacts heart failure patient survival.
  • Identifying at-risk patients early can guide targeted interventions to improve heart failure outcomes.
Abstract

Keywords:
Care modelsHeart FailureMortalityRegistriesRetrospective study

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