Heart failure & cardiomyopathies

Harnessing the Plasma Proteome to Predict Mortality in Heart Failure Subpopulations

Circ Heart FailPublished derivation and validation of proteomic risk scores

Authors' conclusion

PRSs can provide valid, accurate, and dynamic prognostic estimates for patients with HF. This approach has the potential to improve longitudinal monitoring of patients and facilitate personalized care.

Study context

Population
Individuals with heart failure (HF) with reduced ejection fraction (HF with reduced ejection fraction (HFrEF); ejection fraction <40%) and preserved ejection fraction (HFpEF; ejection fraction ≥50%)training/validation counts per HF type · HFrEF training 1,247 · HFrEF validation 762 · HFpEF training 725 · HFpEF validation 785
Predictors
17- and 14-protein models for HFrEF and HFpEF
Predicted outcome
all-cause mortality within 1 year
Methodological details3 independent studies, machine learning, SomaScan Assay measuring ≈5000 proteins
  • 3 independent studies
  • Machine learning
  • SomaScan Assay measuring ≈5000 proteins

Model performance

As reported in the abstract

C-index or AUC
HFpEF PRS (validation)
C-index 0.79
HFpEF PRS (validation)
AUC 0.82
MAGGIC (HFpEF validation)
C-index 0.71
MAGGIC (HFpEF validation)
AUC 0.74
HFrEF PRS (validation, vs MAGGIC)
C-index 0.76
HFrEF PRS (validation, vs MAGGIC)
AUC 0.83
MAGGIC (HFrEF validation)
C-index 0.75
MAGGIC (HFrEF validation)
AUC 0.84
HFpEF PRSPRS vs NT-proBNP
C-index 0.76
HFpEF PRSPRS vs NT-proBNP
AUC 0.81
NT-proBNP (HFpEF)PRS vs NT-proBNP
C-index 0.72
NT-proBNP (HFpEF)PRS vs NT-proBNP
AUC 0.76
HFrEF PRSPRS vs NT-proBNP
C-index 0.75
HFrEF PRSPRS vs NT-proBNP
AUC 0.78
NT-proBNP (HFrEF)PRS vs NT-proBNP
C-index 0.73
NT-proBNP (HFrEF)PRS vs NT-proBNP
AUC 0.77
  • HFpEF PRS performed significantly better ( P ≤0.1) than MAGGIC and NT-proBNP
  • HFrEF PRS performed comparably to MAGGIC

Further findings

1-year mortality, PRS vs NT-proBNP

HFrEF PRS significantly better C-Index than NT-proBNP ( P =0.026)

PRS composition

Known HF pathophysiology biomarkers
93%
Novel proteins
7%

Longitudinal PRS (HFrEF: n=396; 1107 samples; HFpEF: n=175; 350 samples)

HFrEF and HFpEF proteomic risk scores (PRSs) were higher and increased more over time in individuals who experienced a fatal event during follow-up

Original publication

Harnessing the Plasma Proteome to Predict Mortality in Heart Failure Subpopulations. Circ Heart Fail. Published 7 March 2025. doi:10.1161/circheartfailure.123.011208

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