Identifying Phenogroups in patients with subclinical diastolic dysfunction using unsupervised statistical learning.

ABSTRACT:

Background

Subclinical diastolic dysfunction is a precursor for developing heart failure with preserved ejection fraction (HFpEF); yet not all patients progress to HFpEF. Our objective was to evaluate clinical and echocardiographic variables to identify patients who develop HFpEF.

Methods

Clinical, laboratory, and echocardiographic data were retrospectively collected for 81 patients without HF and 81 matched patients with HFpEF at the time of first documentation of subclinical diastolic dysfunction. Density-based clustering or hierarchical clustering to group patients was based on 65 total variables including 19 categorical and 46 numerical variables. Logistic regression analysis was conducted on the entire study population as well as each individual cluster to identify inde

SUBMITTER: Kaptein YE 

PROVIDER: S-EPMC7427922 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature