Multimarker approach for heart failure management: perspectives and limitations

Area of Science:

• Cardiology
• Biochemistry
• Genomics

Background:

• Heart failure (HF) presents a significant public health challenge, necessitating personalized risk assessment beyond clinical and imaging data.
• Current methods struggle to fully capture HF complexity, highlighting the need for advanced diagnostic tools.
• Identifying vulnerable patients is crucial for timely therapeutic interventions.

Purpose of the Study:

• To review the utility of a multimarker approach in heart failure (HF) risk stratification and management.
• To explore the potential of transcriptomic biomarkers for individual HF risk assessment.
• To emphasize the importance of cost-effective biomarker selection for optimal patient care.

Main Methods:

• Review of studies utilizing multimarker strategies for HF risk stratification.
• Analysis of biomarker combinations for predicting HF incidence and treatment response.
• Inclusion of insights into novel transcriptomic biomarkers for HF.

Main Results:

• Multimarker approaches demonstrate improved characterization of HF patients compared to single markers.
• Combined biomarkers enhance risk stratification, prediction of HF incidence, and evaluation of therapy response.
• Transcriptomic biomarkers show promise for personalized HF risk assessment.

Conclusions:

• A multimarker strategy, particularly a parsimonious and cost-effective selection, is essential for accurate HF management.
• This approach can optimize patient care by identifying individuals requiring closer monitoring.
• Integrating diverse biomarkers, including transcriptomic data, can reduce healthcare costs without compromising patient outcomes.