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Updated: Nov 5, 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
Heart failure risk estimation based on novel biomarkers.
Feven Ataklte1, Ramachandran S Vasan2,3,4,5
1Department of Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Biomarkers aid in predicting and managing heart failure (HF). Novel multi-omic approaches show promise for personalized HF treatment and improved patient outcomes.
Area of Science:
- Cardiovascular Medicine
- Biomarker Research
- Genomics and Proteomics
Background:
- Heart failure (HF) continues to have high morbidity and mortality despite medical advances.
- There is a critical need for improved methods in HF prediction, screening, and prognosis for effective prevention.
- Understanding HF's complex etiologies is key to developing better management strategies.
Purpose of the Study:
- To review current and emerging biomarkers for heart failure (HF).
- To discuss the role of biomarkers in HF screening, diagnosis, prognosis, and prediction.
- To explore the potential of multi-omic approaches in HF management.
Main Methods:
- Systematic literature review of PubMed and Google Scholar up to December 2020.
- Key search terms included: biomarker, novel, heart failure, risk, prediction, estimation.
- Analysis of established, emerging, and promising biomarkers for HF.
Main Results:
- BNP and troponin are established biomarkers for HF diagnosis and prognosis.
- Emerging biomarkers like galectin-3 and ST-2 are recognized for HF prognosis.
- Cardiorenal biomarkers show promise but are not yet standard clinical recommendations.
Conclusions:
- Multi-marker and multi-omic approaches are increasingly utilized due to the complex nature of HF.
- These advanced assays offer potential for novel therapeutic discoveries.
- Precision medicine in HF can be significantly improved through these newer methodologies.
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