Outcome Analysis in Elective Electrical Cardioversion of Atrial Fibrillation Patients: Development and Validation of a Machine Learning Prognostic Model.

Background: The integrated approach to electrical cardioversion (EC) in atrial fibrillation (AF) is complex; candidates can resolve spontaneously while waiting for EC, and post-cardioversion recurrence is high. Thus, it is especially interesting to avoid the programming of EC in patients who would restore sinus rhythm (SR) spontaneously or present early recurrence. We have analyzed the whole elective EC of the AF process using machine-learning (ML) in order to enable a more realistic and detailed simulation of the patient flow for decision making purposes.

Evolution of Patients with Pulmonary Arterial Hypertension Starting Macitentan After the Discontinuation of Other Endothelin-Receptor Antagonists: Results of a Retrospective Study.

Background: Macitentan is the latest endothelin-receptor antagonist (ERA) approved for the treatment of pulmonary arterial hypertension (PAH), presenting enhanced properties over previous ERAs.

Objective: We describe the clinical and echocardiographic evolution of patients with PAH who started macitentan after discontinuing bosentan/ambrisentan.

Methods: This was a retrospective series of patients with different etiologies who started macitentan after the suspension of other ERAs under routine clinical practice at five Spanish hospitals.