Valvular Heart Disease
Valvular Heart Disease currently affects 2.5% of the population. Overwhelmingly it is a disease of the elderly and as a consequence is on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation.
The timing and nature of interventional treatment is crucial in valve disease, but it remains a major challenge in current clinical practice. According to databases, in the EU more than 70,000 valves are replaced or repaired per year (www.EACTS.org).
The EurValve project
EurValve will implement, test and validate a modelling based decision support system (DSS) for aortic and mitral valve diseases that allows simulating, comparing and understanding the effects (outcomes) and risks of different treatment strategies. In addition, the DSS will improve knowledge of disease mechanisms by applying a holistic assessment of cardiovascular function that includes haemodynamic data at all cardiovascular compartments (ventricle, valve, vessels) and multiscale components that couple organ with cell function. The DSS will have major impact on patients with:
- Borderline indications for treatment (valve replacement/repair)
- Complex hemodynamic conditions such as combined aortic-mitral valve disease
- Valve geometries that are subject to valve repair
By combining multiple complex modelling components developed in recent EC-funded research projects, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan.
The outcome of EurValve
The automated Valvular Heart Disease workflow will provide an assessment of an individual patient, guiding a clinician through the established clinical guidelines for their condition, and making available a maximal array of data on pre-operative and predicted post-operative cardiac performance in an easily-assessable form to enable the clinician to make the best-informed judgement possible.
EurValve is an EC Research and Innovation Action. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 689617