Heart failure & cardiomyopathies
Proteomics Identify Clinical Phenotypes and Predict Functional Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From VITALITY-HFpEF
Authors' conclusion
Proteomics differentiate specific baseline functional traits associated with HFpEF and may facilitate phenotyping in a heterogeneous disease.
Study context
- Population
- Heart failure with preserved ejection fraction (HFpEF) patients with LVEF ≥45% and a HF decompensation event within 6 months368 proteins evaluated
- Participants
- 763 patients
- Primary endpoint
- Associations of protein clusters with clinical characteristics and functional outcomes (KCCQ Physical Limitation Score, 6-minute walk distance, Fried frailty phenotype)
- Follow-up
- Baseline and 24 weeks
Methodological detailsproteomic analysis, prerandomization blood samples
- Proteomic analysis
- Prerandomization blood samples
Primary result
As reported in the abstract
Baseline proteomic summary composite predicted 24-week change in KCCQ Physical Limitation Score
r=0.42
P<0.001
Baseline proteomic summary composite predicted 24-week change in 6-minute walk distance
r=0.30
P<0.001
Original publication
Proteomics Identify Clinical Phenotypes and Predict Functional Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From VITALITY-HFpEF. Circ Heart Fail. Published 29 August 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →