Biomarkers for Heart Failure Prediction and Prevention

Area of Science:

• Cardiology
• Biochemistry
• Preventive Medicine

Background:

• Heart failure (HF) is a global pandemic with increasing prevalence and healthcare costs.
• HF prevention is a key focus for major cardiology organizations.
• Recent guidelines recommend biomarker-based screening for HF risk prediction.

Purpose of the Study:

• To review the role of biomarkers in predicting and preventing heart failure.
• To evaluate biomarker utility in early detection of cardiac dysfunction before clinical manifestation.
• To assess biomarkers for prognostication, risk prediction beyond existing models, and guiding prevention strategies.

Main Methods:

• Systematic review of studies on biomarkers in HF prediction and prevention.
• Analysis of studies using biomarkers for early cardiac abnormality detection.
• Inclusion of studies on biomarker changes over time and multi-biomarker approaches.

Main Results:

• Biomarkers can detect cardiac dysfunction and predict HF risk before clinical symptoms.
• Biomarkers provide prognostic information beyond traditional risk models.
• Changes in biomarker levels over time are valuable for risk assessment.

Conclusions:

• Biomarker-based screening is crucial for early heart failure detection and prevention.
• Multi-biomarker and multimodality strategies enhance HF risk prediction accuracy.
• Biomarkers aid in guiding management and evaluating prevention strategy efficacy.