Phenomapping in heart failure with preserved ejection fraction: insights, limitations, and future directions.

ABSTRACT: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous entity with complex pathophysiology and manifestations. Phenomapping is the process of applying statistical learning techniques to patient data to identify distinct subgroups based on patterns in the data. Phenomapping has emerged as a technique with potential to improve the understanding of different HFpEF phenotypes. Phenomapping efforts have been increasing in HFpEF over the past several years using a variety of data sources, clinical variables, and statistical techniques. This review summarizes methodologies and key takeaways from these studies, including consistent discriminating factors and conserved HFpEF phenotypes. We argue that phenomapping results to date have had limited implications for clinical care and

SUBMITTER: Peters AE 

PROVIDER: S-EPMC10144733 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature