Heartbeat: atrial fibrillation phenotyping identifies patients at high risk of adverse events

Atrial fibrillation (AF) is primarily classified based on duration of the arrhythmia and the risk of stroke. However, the heterogenous pathophysiology of AF is either not considered or is only factored into clinical management on an individual basis. Saito and colleagues1 hypothesised that more precise phenotyping of patients with atrial fibrillation would better predict clinical outcomes. In derivation cohort of 3055 patient in the SAKURA AF registry (Real World Survey of Atrial Fibrillation Patients Treated with Warfarin and Non-vitamin K Antagonist Oral Anticoagulants), cluster analysis identified five distinct AF phenotypes based on 14 clinical variables which predicted the endpoints of all-cause mortality and composite cardiovascular events (figure 1). The value of these phenotype clusters for risk stratification was validated in 3852 patients in the RAFFINE registry (Registry of Japanese Patients with Atrial Fibrillation Focused on anticoagulant therapy in New Era). Multivariable analysis in the validation...
Source: Heart - Category: Cardiology Authors: Tags: Highlights from this issue Source Type: research