Implementation of personalised risk prediction and prevention of sudden cardiac death after myocardial infarction
Personalised prevention of sudden cardiac death: from analysis of existing data to large trials
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847999.
The European Association of Cardiology (ESC) is an independent, non-profit organisation and represents more than 95,000 decision-makers and healthcare professionals in the field of cardiology. The ESC acts in the interest of patients by providing cardiologists with the support and tools they need to deliver the best possible care.
In phase one of the development of the PROFID risc prediction model we analysed 19 datasets from Europe, Israel and the US, based on a collection of existing highly phenotyped data with the largest number of post-MI patients (~225,000 observations).
Prof. Peek from the University of Manchester is leading Work Package 1 “Risk Score Development” of PROFID. Together with his team he analysed 19 data sets (from more than 200.000 patients) to develop a new model for predicting the risk of sudden cardiac death after myocardial infarction.