Multidimensional Approach of Heart Failure Diagnosis and Prognostication Utilizing Cardiac Imaging with Biomarkers

Area of Science:

• Cardiology
• Medical Diagnostics

Background:

• Heart failure (HF) is a complex clinical syndrome with diverse etiologies.
• HF involves systolic and diastolic cardiac dysfunction leading to congestion.
• Current HF evaluation involves various tests, with cardiac imaging and biomarkers being central.

Purpose of the Study:

• To highlight the importance of cardiac imaging modalities and biomarkers in HF diagnosis and management.
• To discuss the role of advanced non-invasive imaging in understanding HF.
• To emphasize the increasing adoption and utility of biomarkers in clinical practice and research.

Main Methods:

• Review of current diagnostic and prognostic tools for HF.
• Focus on non-invasive cardiac imaging techniques (echocardiography, CT, MRI, nuclear imaging).
• Discussion of various cardiac biomarkers, including natriuretic peptides and those reflecting myocardial injury, stress, inflammation, fibrosis, hypertrophy, and neurohormonal activation.

Main Results:

• Non-invasive imaging aids in understanding HF etiology, pathophysiology, hemodynamics, treatment selection, and outcome prediction.
• Biomarkers, particularly natriuretic peptides, are crucial for HF diagnosis, treatment response evaluation, and prognosis.
• Comprehensive assessment using multimodality imaging and biomarkers is essential for personalized medicine in HF.

Conclusions:

• Multimodality imaging and cardiac biomarkers are indispensable for comprehensive HF assessment.
• These tools enhance patient management quality and improve clinical outcome prediction.
• Integrated use of imaging and biomarkers supports personalized medicine approaches for heart failure.