- Heart failure (HF) is an enormous public health burden with 300,000 new deaths each year and a prevalence of 6.5 million people in the United States1.
- There is large variability in HF prognosis2 and there is a need for a broader systemic approach to identify novel circulating markers of HF progression.
- One of the most robust and validated models for mortality prediction in HF patients is the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) Score3.
- Additionally, the use of N-Terminal pro-B-Type Natriuretic Peptide (NTproBNP) has been shown to be valuable in prognosis prediction4.
- It is uncertain if the plasma proteome is a better prediction tool for the course of HF compared to the clinical risk score MAGGIC and NTproBNP.