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Updated: May 10, 2026
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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
Prognostic markers for acute heart failure.
Domingo A Pascual-Figal1, Luis Caballero, Jesús Sanchez-Mas
1University of Murcia, Virgen de la Arrixaca University Hospital and School of Medicine, Department of Cardiology, Murcia, Spain Ctra. Madrid-Cartagena s/n, 30120, Murcia, España. dpascual@um.es
Expert Opinion on Medical Diagnostics
|June 26, 2013
Summary
Risk stratification for acute heart failure (AHF) uses clinical and biomarker data. Improved risk models are needed to guide patient management and reduce healthcare costs.
Area of Science:
- Cardiology
- Internal Medicine
- Geriatrics
Background:
- Acute heart failure (AHF) is a primary cause of hospitalization for individuals over 65.
- AHF presents a significant health burden due to high mortality, readmission rates, and healthcare costs.
Purpose of the Study:
- To review current individual markers for risk stratification in AHF.
- To analyze the complementary value, monitoring, and predictive capabilities of various risk markers.
Main Methods:
- Review of clinical, cardiorenal, hemodynamic, neurohormonal, and cardiac biomarkers.
- Analysis of risk models and event prediction strategies for AHF.
Main Results:
- Standard risk markers include congestion, perfusion, renal function, natriuretic peptides, and cardiac troponins.
- Current risk stratification relies on integrating bedside evaluation and laboratory biomarkers.
Conclusions:
- Despite established markers, research findings often fail to improve clinical management or reduce costs.
- Prospective research is essential to validate risk models in emergency settings for better patient stratification and therapeutic guidance.
- Identifying specific markers for recurrent AHF risk is crucial for clinical practice advancement.
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