Clinical implications of chronic heart failure phenotypes defined by cluster analysis.

ABSTRACT:

Background

Classification of chronic heart failure (HF) is on the basis of criteria that may not adequately capture disease heterogeneity. Improved phenotyping may help inform research and therapeutic strategies.

Objectives

This study used cluster analysis to explore clinical phenotypes in chronic HF patients.

Methods

A cluster analysis was performed on 45 baseline clinical variables from 1,619 participants in the HF-ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training) study, which evaluated exercise training versus usual care in chronic systolic HF. An association between identified clusters and clinical outcomes was assessed using Cox proportional hazards modeling. Differential associations between clinical outcomes and exercise tes

SUBMITTER: Ahmad T 

PROVIDER: S-EPMC4254424 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature