Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Proteomics Identify Clinical Phenotypes and Predict Functional Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From VITALITY-HFpEF.

Circulation. Heart failure - 1 Sept 2024

deFilippi Christopher R, Shah Palak, Shah Sanjiv J, Alemayehu Wendimagegn, Lam Carolyn S P, Butler Javed, Roessig Lothar, O'Connor Christopher M, Westerhout Cynthia M, Armstrong Paul W

Abstract excerpt

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome that may emerge from overlapping systemic processes associated with comorbidities. We assessed whether unique clusters of circulating proteins are associated with specific clinical characteristics and functional status at baseline and follow-up in a well-phenotyped cohort of patients with HFpEF. METHODS: We evaluated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged, 80 and over
Share to Biomarkers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Exercise Tolerance

Share to Frailty

Share to Heart Failure

Share to Proteomics

Share to Stroke Volume

Share to Ventricular Function, Left

Source

Identifiers

PMID: 39206547
DOI: 10.1161/CIRCHEARTFAILURE.124.011792

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Proteomics Identify Clinical Phenotypes and Predict Functional Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From VITALITY-HFpEF.PMID 39206547Read ↗

A multi-layered approach to elucidate mechanisms of physical function in response to rehabilitation in heart failure with preserved ejection fractionSemantic proximity Read ↗

Identification of novel pheno-groups in heart failure with preserved ejection fraction using machine learning.Semantic proximity Read ↗

Proteomic Profiling of Early-Stage Heart Failure Identifies Candidate Biomarkers and Molecular Pathways of Cardiac Inflammation in the Project Baseline Health StudySemantic proximity Read ↗

Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development.Semantic proximity Read ↗

Phenomapping in Heart Failure With Reduced Ejection Fraction to Identify Subpopulations With High Residual Risk: A VICTORIA Substudy.Semantic proximity Read ↗

The future of heart failure with preserved ejection fraction : Deep phenotyping for targeted therapeutics.Semantic proximity Read ↗

Molecular Phenogroups in Heart Failure: Large-Scale Proteomics in a Population-Based Cohort.Semantic proximity Read ↗

Systemic Biomarkers and Unique Pathways in Different Phenotypes of Heart Failure with Preserved Ejection Fraction.Semantic proximity Read ↗

Obese-Inflammatory Phenotypes in Heart Failure With Preserved Ejection Fraction.Semantic proximity Read ↗

Identification of distinct phenotypic clusters in heart failure with preserved ejection fractionSemantic proximity Read ↗

Phenomapping Heart Failure with Preserved Ejection Fraction Using Machine Learning Cluster Analysis: Prognostic and Therapeutic Implications.Semantic proximity Read ↗

Enhanced clinical phenotyping by mechanistic bioprofiling in heart failure with preserved ejection fraction: insights from the MEDIA-DHF study (The Metabolic Road to Diastolic Heart Failure).Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.