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

Profiling heart failure with preserved or mildly reduced ejection fraction by cluster analysis.

European heart journal. Quality of care & clinical outcomes - 3 Mar 2025

Vicent Lourdes, Rosillo Nicolás, Vélez Jorge, Moreno Guillermo, Pérez Pablo, Bernal José Luis, Seara Germán, Salguero-Bodes Rafael, Arribas Fernando, Bueno Héctor

Abstract excerpt

BACKGROUND: Significant knowledge gaps remain regarding the heterogeneity of heart failure (HF) phenotypes, particularly among patients with preserved or mildly reduced left ventricular ejection fraction (HFp/mrEF). Our aim was to identify HF subtypes within the HFp/mrEF population. METHODS: K-prototypes clustering algorithm was used to identify different HF phenotypes in a cohort of 2570 patients diagnosed with...

Read the complete abstract on PubMed

Topics

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

Share to Aged
Share to Algorithms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cluster Analysis

Share to Heart Failure

Share to Phenotype

Share to Prognosis

Share to Stroke Volume

Share to Ventricular Function, Left

Source

Identifiers

PMID: 39118371
DOI: 10.1093/ehjqcco/qcae067

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Profiling heart failure with preserved or mildly reduced ejection fraction by cluster analysis.PMID 39118371Read ↗

Clinical phenotypes of heart failure patients with supranormal ejection fraction.Semantic proximity Read ↗

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

Discovering Distinct Phenotypical Clusters in Heart Failure Across the Ejection Fraction Spectrum: a Systematic Review.Semantic proximity Read ↗

Identifying novel phenotypes of acute heart failure using cluster analysis of clinical variables.Semantic proximity Read ↗

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

Clinical Phenotypes of Heart Failure across the spectrum of Ejection Fraction: A Cluster Analysis.Semantic proximity Read ↗

Clinical phenotypic characteristics of heart failure with preserved ejection fraction and its influence on prognosisSemantic proximity Read ↗

Heart failure with preserved ejection fraction: A clustering approach to a heterogenous syndrome.Semantic proximity Read ↗

Biomarker Phenotypes in Heart Failure with Preserved Ejection Fraction Using Hierarchical Clustering: A Pilot Study.Semantic proximity Read ↗

Clinical implications of chronic heart failure phenotypes defined by cluster analysis.Semantic proximity Read ↗

Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.Semantic proximity Read ↗

Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.Semantic proximity Read ↗

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