Aims The risk of adverse events in atrial fibrillation (AF) patients was commonly stratified by
risk factors or clinical risk scores. Risk factors often do not occur in isolation and are often …

Background Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity
increase the risk of major adverse outcomes. We aimed to describe European AF patients' …

Background and purpose: Given the great clinical heterogeneity of atrial fibrillation (AF)
patients, conventional classification only based on disease subtype or arrhythmia patterns …

Objectives Atrial fibrillation (AF) is a heterogeneous condition. We performed a cluster
analysis in a cohort of patients with AF and assessed the prognostic implication of the …

Background Atrial fibrillation (AF) is a heterogeneous condition caused by various
underlying disorders and comorbidities. A cluster analysis is a statistical technique that …

Importance Atrial fibrillation (AF) is usually classified on the basis of the disease subtype.
However, this characterization does not capture the full heterogeneity of AF, and a data …

Background Older adults with atrial fibrillation (AF) have highly diverse risk levels for
mortality, heart failure (HF), thromboembolism (TE), and major bleeding (MB), thus an …

Background Phenotypic classification is a method of grouping patients with similar
phenotypes. Aim We aimed to use phenotype classification based on a clustering process …

Background Clinical complexity, as the interaction between ageing, frailty, multimorbidity
and polypharmacy, is an increasing concern in patients with AF. There remains uncertainty …

Aims Atrial fibrillation (AF) is a progressive disease, but identifying patients at risk for AF
progression is challenging. We aimed to identify factors associated with AF progression …