Clinical phenotypes of heart failure patients with supranormal ejection fraction.

ABSTRACT:

Aims

Heart failure (HF) with supranormal ejection fraction (HFsnEF) represents a distinct clinical entity characterized by limited treatment options and an unfavourable prognosis. Revealing its phenotypic diversity is crucial for understanding disease mechanism and optimizing patient management. We aim to identify phenotypic subgroups in HFsnEF using unsupervised clustering analysis.

Methods

Consecutive hospitalized patients with a diagnosis of HF and a left ventricular ejection fraction ≥65% at baseline echocardiographic evaluations were included for analysis. We conducted unsupervised hierarchical clustering analysis on principal components (HCPC) to identify HFsnEF phenogroups using mixed data variables including demographics, HF duration, vital signs, anthropometrics, sm

SUBMITTER: Huang L 

PROVIDER: S-EPMC11631309 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature