Representation of women in cardiovascular disease management: a systematic analysis of ESC guidelines.

Objective: Sex differences play a critical role in the presentation, progression and treatment outcomes of cardiac diseases. However, historical male predominance in clinical studies has led to disparities in evidence supporting care for both sexes. Clinical guidelines are essential for cardiovascular care, shaping practice and influencing patient outcomes.

Rhythm control benefits left ventricular function compared with rate control in patients with atrial fibrillation: A computational study.

Background: Atrial fibrillation (AF) alters heart rate, rhythm regularity, and atrial contraction, which may contribute to an increased risk of heart failure. Although rate and rhythm control target different aspects of these disturbances, their specific effects on left ventricular (LV) function remain unclear.

Objective: The purpose of this study was to predict the independent and combined contribution of heart rate, rhythm regularity, and atrial contraction to LV function in patients with AF.

Developing cardiac biomechanical models beyond the clinic: modeling stressors of daily life.

There is growing motivation to exploit computational biomechanical modeling of the heart as a predictive tool to support clinical diagnoses and therapies. Existing patient-specific cardiac models often rely on data collected under highly standardized conditions in hospitals. However, disease progression and therapy responses often depend on stressors, encountered in daily life, that cannot be captured in a traditional clinical setting.

Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.

Cardiac mechanics models are developed to represent a high level of detail, including refined anatomies, accurate cell mechanics models, and platforms to link microscale physiology to whole-organ function. However, cardiac biomechanics models still have limited clinical translation. In this review, we provide a picture of cardiac mechanics models, focusing on their clinical translation.

A systematic review of cardiac clinical trials.

Computational models of the heart are now being used to assess the effectiveness and feasibility of interventions through clinical trials (ISCTs). As the adoption and acceptance of ISCTs increases, best practices for reporting the methodology and analysing the results will emerge. Focusing in the area of cardiology, we aim to evaluate the types of ISCTs, their analysis methods and their reporting standards.