Heart Failure (HF) is one of the major health issues in Europe affecting 6 million patients and growing substantially because of the ageing population and improving survival following myocardial infarction. The poor short to medium term prognosis of these patients means that treatments such as cardiac re-synchronisation therapy and mitral valve repair can have substantial impact. However, these therapies are ineffective in up to 50% of the treated patients and involve significant morbidity and substantial cost.
What is the VP2HF aim?
The primary aim of VP2HF is to bring together image and data processing tools with statistical and integrated biophysical models mainly developed in previous VPH projects, into a single clinical workflow to improve therapy selection and treatment optimization in HF.
How we will do this?
The tools will be tested and validated in 200 patients (including 50 historical datasets) across 3 clinical sites, including a prospective clinical study in 50 patients in the last year of the project. The key innovations in VP2HF that make it likely that the project results will be commercially exploited and have major clinical impact are;
1) all tools to process images and signals, and the obtained statistical and biophysical models, will be integrated into one clinical software platform that can be easily and intuitively used by clinicians and tried out in the prospective clinical study and
2) by utilising a decision tree stratification approach, only the appropriate parts of the tool chain, that will add maximum value to the predictions will be used in individual patients, so that the more resource intensive parts will be used when they will add real value.
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 611823.