Phenotypes of South Asian patients with atrial fibrillation and holistic integrated care management: cluster analysis of data from KERALA-AF Registry.

ABSTRACT:

Background

Patients with atrial fibrillation (AF) frequently experience multimorbidity. Cluster analysis, a machine learning method for classifying patients with similar phenotypes, has not yet been used in South Asian AF patients.

Methods

The Kerala Atrial Fibrillation Registry is a prospective multicentre cohort study in Kerala, India, and the largest prospective AF registry in South Asia. Hierarchical clustering was used to identify different phenotypic clusters. Outcomes were all-cause mortality, major adverse cardiovascular events (MACE), and composite bleeding events within one-year follow-up.

Findings

3348 patients were included (median age 65.0 [56.0-74.0] years; 48.8% male; median CHA₂DS₂-VASc 3.0 [2.0-4.0]). Five clusters were identifie

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11609390 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature