In his song ‘Envelhecer’ (‘Aging’), Arnaldo Antunes states that “the most modern thing there is in this life is to grow old”.1 In this piece, he reframes aging not only as an inevitable biological ...

Correspondence to Dr Tom Marshall, Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK; t.p.marshall{at}bham.ac.uk Objective Atrial fibrillation (AF) is the most ...

Correspondence to Dr Klaus K Witte, Division of Cardiovascular and Diabetes Research, University of Leeds, Leeds LS16 5AR, UK; k.k.witte{at}leeds.ac.uk ...

Ventricular ectopic beats (VEBs) are commonly seen in daily clinical practice. They are largely asymptomatic but can cause upsetting symptoms in some patients. In normal hearts, their occurrence is ...

Background Limited empirical evidence informs driving restrictions after implantable cardioverter-defibrillator (ICD) implantation. We sought to evaluate real-world motor vehicle crash risks after ICD ...

Correspondence to Courtney Weber, School of Population and Global Health, The University of Western Australia, Perth, WA 6009, Australia; courtney.weber{at}uwa.edu.au Objective To determine the ...

Correspondence to Dr Alicja Bortkiewicz, Nofer Collegium, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland; Alicja.Bortkiewicz{at}imp.lodz.pl Cardiovascular disease (CVDs) is a major ...

Coronary artery disease is the leading cause of death worldwide. Stent implantation is the mainstay approach to revascularise stenosed coronary arteries. Bare metal stents were the first stents ...

Background With the rising incidence of Type 2 Diabetes Mellitus (T2DM) and the number of undiagnosed cases, there is an urgent need for innovative strategies for early identification of individuals ...

Introduction Heart failure develops in 3%–5% of patients with hypertrophic cardiomyopathy (HCM) and is associated with a ten-fold increase in mortality. Myocardial perfusion abnormalities using ...

Introduction The added value of exercise ECG data to traditional risk factors in predicting cardiovascular events remains unclear. Deep learning of ECG signals has demonstrated state-of-the-art ...