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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.
Insights
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.
Abstract:
Introduction: Despite advances in medical care, heart failure (HF)-associated morbidity and mortality remains high. Consequently, there is increased effort to find better ways for predicting, screening, and prognosticating HF in order to facilitate effective primary and secondary prevention.Areas covered: In this review, we describe the various biomarkers associated with different etiologic pathways implicated in HF, and discuss their roles in screening, diagnosing, prognosticating and predicting HF. We explore the emerging role of multi-omic approaches. We performed electronic searches in databases (PubMed and Google Scholar) through December 2020, using the following key terms: biomarker, novel, heart failure, risk, prediction, and estimation.Circulating BNP and troponin concentrations have been established in clinical care as key biomarkers for diagnosing and prognosticating HF. Emerging biomarkers (such as galectin-3 and ST-2) have gained further recognition for use in evaluating prognosis of HF patients. Promising biomarkers that are yet to be part of clinical recommendations include biomarkers of cardiorenal disease.Expert opinion: Increasing recognition of the complex and interdependent nature of pathophysiological pathways of HF has led to the application of multi-marker approaches including multi-omic high throughput assays. These newer approaches have the potential for new therapeutic discoveries and improving precision medicine in HF.
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