Phenotypic clustering of atrial fibrillation patients using latent class analysis and its potential utility for ablation strategy: insights from the DIRECT-Extend and EARNEST-PVI studies

Eur Heart J Open. 2026 Sep 8;6(5):oeag135. doi: 10.1093/ehjopen/oeag135. eCollection 2026 Sep.ABSTRACTAIMS: AF is a heterogeneous syndrome. We aimed to assess whether latent class analysis (LCA) can identify phenotypes that stratify prognosis and predict differential responses to catheter ablation s

S Shun Sasaki

Incremental value of insulin resistance surrogate indices beyond the CHA2DS2-VASc score for predicting thromboembolic events in patients with chronic heart failure and atrial fibrillation

Front Endocrinol (Lausanne). 2026 Sep 23;17:1954348. doi: 10.3389/fendo.2026.1954348. eCollection 2026.ABSTRACTBACKGROUND: Patients with chronic heart failure (CHF) and atrial fibrillation (AF) are at high risk of thromboembolic events. Although the CHA2DS2-VASc score is widely used for risk stratif

Y Yingli Xie

Development and validation of an interpretable machine learning model for concurrent identification of kinesiophobia in older patients with coronary heart disease after percutaneous coronary intervention

Front Med (Lausanne). 2026 Sep 23;13:1915056. doi: 10.3389/fmed.2026.1915056. eCollection 2026.ABSTRACTBACKGROUND: Kinesiophobia reduces participation in cardiac rehabilitation and impairs exercise adherence among older patients with coronary heart disease (CHD) after percutaneous coronary intervent

Y Yaya Xi

Sex differences in sleep regularity and its associations with mortality

medRxiv [Preprint]. 2026 Aug 10:2026.08.06.26359893. doi: 10.64898/2026.08.06.26359893.ABSTRACTIn characterizing sleep and circadian health, the day-to-day regularity of sleep-wake timing strongly predicts health outcomes, outperforming short sleep duration in prospective associations with mortality

M Mark É Czeisler