Clinical phenotypes of patients with non-valvular atrial fibrillation as defined by a cluster analysis: A report from the J-RHYTHM registry.

ABSTRACT:

Background

Atrial fibrillation (AF) is a heterogeneous condition caused by various underlying disorders and comorbidities. A cluster analysis is a statistical technique that attempts to group populations by shared traits. Applied to AF, it could be useful in classifying the variables and complex presentations of AF into phenotypes of coherent, more tractable subpopulations.

Objectives

This study aimed to characterize the clinical phenotypes of AF using a national AF patient registry using a cluster analysis.

Methods

We used data of an observational cohort that included 7406 patients with non-valvular AF enrolled from 158 sites participating in a nationwide AF registry (J-RHYTHM). The endpoints analyzed were all-cause mortality, thromboembolisms, and major bleeding.

SUBMITTER: Watanabe E 

PROVIDER: S-EPMC8515385 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature