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Updated: Aug 7, 2025

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
One-year mortality after hospitalization for acute heart failure: Predicting factors (PRECIC study subanalysis)
Irene Marques1, Raquel Lopes Ramos2, Denisa Mendonça3
1Department of Internal Medicine, Centro Hospitalar Universitário de Santo António, EPE, Porto, Portugal; Unidade Multidisciplinar de Investigação Biomédica (UMIB), ICBAS - Instituto de Ciências Biomédicas de Abel Salazar, Universidade do Porto, Porto, Portugal; ITR-Laboratory for Integrative and Translational Research in Population Health, Porto, Portugal.
High one-year mortality after heart failure (HF) hospitalization is a concern. Factors like active cancer, dementia, and elevated urea and red cell distribution width (RDW) predict mortality in HF patients.
Area of Science:
- Cardiology
- Geriatrics
- Internal Medicine
Background:
- One-year mortality following hospitalization for heart failure (HF) remains high.
- Identifying predictors of mortality is crucial for improving patient outcomes.
Purpose of the Study:
- To identify factors that predict one-year mortality in patients hospitalized for acute heart failure.
Main Methods:
- A retrospective, single-center, observational study.
- Enrolled 429 patients hospitalized for acute HF.
- Analyzed demographic, clinical, and laboratory data to identify mortality predictors.
Main Results:
- One-year all-cause mortality was 34.3%.
- Independent predictors of one-year mortality included age ≥80 years, active cancer, dementia, higher urea levels, and higher red cell distribution width (RDW).
- Lower platelet distribution width (PDW) was also associated with increased mortality.
Conclusions:
- Active cancer, dementia, elevated urea, and high RDW at admission are significant predictors of one-year mortality in HF patients.
- These readily available factors can aid in clinical management and risk stratification.
- Further research may explore interventions targeting these predictors.
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