Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Background The specific relationship between different blood pressure measures and the risk of aortic aneurysms (AA) remains ...

Background Valvular surgery for infective endocarditis (IE) can improve survival but carries substantial risk. Limited data exist on long-term outcomes for patients who survive surgery compared with a ...

Background Previous research on congenital aortic stenosis (AS) mainly focused on children, while data on long-term outcomes ...

In the evolving landscape of cardiac electrophysiology, a precise understanding of the vascular anatomy of the cardiac ...

Background Truncating variants in the Filamin C ( FLNCtv) gene are causative of highly arrhythmogenic cardiomyopathies.

Background The concept of ischaemia for therapeutic guidance and risk stratification in coronary artery disease has been ...

Background Serum potassium (sK) disorders are associated with worse outcomes in patients with heart failure with preserved ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

Background Despite standardised approaches, subjective assessment and inconsistent diagnostic testing for chest pain in the emergency department (ED) drive costs, disparities and adverse outcomes.

Objective Wave intensity analysis is a method that allows separating pulse waves into components generated proximally and in the periphery of arterial trees, as well as characterising them as ...

Objective Despite improvements in its management, infective endocarditis (IE) is associated with poor survival. The aim of this study was to evaluate the impact of a multidisciplinary endocarditis ...