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ESCAPE-NET

European Sudden Cardiac Arrest network: towards Prevention, Education, New Effective Treatment.



Main aims of the ESCAPE - NET project

Sudden cardiac arrest (SCA) causes ~20% of all deaths in Europe. SCA is lethal within minutes if left untreated and survival rates are presently only 5-20%. Therefore, there is a large medical need to improve SCA prevention and treatment.

Designing effective individualised prevention and treatment strategies require knowledge on genetic and environmental risk factors. So far, these efforts have been hampered by the lack of sufficiently large study cohorts of SCA patients with detailed information. Obtaining SCA patient samples is challenging as the condition happens suddenly and unexpectedly.

In this project, leading European scientific teams which have created large relevant population cohorts, mostly dedicated to SCA research, join forces to fully exploit available data towards improving SCA management.

This will be done through :

  • Building an unique and growing database of >100.000 (DNA) samples including >20.000 SCA patient samples, by combining existing European databases and infrastructures.
  • Identifying risk factors (inherited, acquired, environmental) and first-response treatment strategies that may explain the differences in SCA occurrence and survival between European countries.
  • Collaborating with professional networks, such as the European Heart Rhythm Association, and European Resuscitation Council, to translate the outcomes into European clinical practice for the prevention of SCA, and European infrastructures to improve survival after SCA.

To achieve the project aim, the following sub-objectives are defined:

Objectives towards population cohort integration:

  • To combine Europe’s largest deep-phenotyped SCA cohorts for full exploitation of the data
  • To improve and maximise data sharing and stimulate hypothesis-driven research by using new technologies in building and maintaining this large-scale database
  • To develop a financial strategy to keep the database alive after the duration of the project

Objectives towards prevention:

  • To identify genetic, epigenetic, acquired, and environmental risk factors, and their interactions, for SCA occurrence in a combined large-scale European study population
  • To design a personalised risk score for SCA occurrence
  • To validate the personalised risks core

Objectives towards treatment:

  • To relate differences in first-response SCA treatment strategies to survival across different European countries
  • To evaluate effects of novel technologies for SCA treatment by utilising smartphone applications (for rapid deployment of layrescuers) and ICT solutions (wave form analysis)
  • To design a personalised risks core for survival after SCA

In this project, the large international scientific societies/associations European Heart Rhythm Association (EHRA) and the European Resuscitation Council (ERC), are involved as project partners in order to translate the outcomes into European clinical practice for the prevention of SCA, and European infrastructures to improve survival after SCA.

ESCAPE-NET Partners

 

Participant Number Participant Organisation Name Country
1 ( Coordinator ) Academic Medical Center (AMC) NL
2 University of Copenhagen (UC-REGIONH) DK
3 Unisersite Paris Descartes, Inserm (UP) FR
4  University of Pavia ( UPAV) IT 
5  IRCCS Istituto Auxologico Italiano (AUXO) IT
6  VU University Medical Center NL
7 European Society of Cardiology (ESC)* FR
8 BC Platforms (BCP) FI 
9 Karolinska Institute (KI) SW 
10 Emergency Medical Services of the Hradec Kralove Region (EMS) CZ
11 European Rescucitation Council (ERC) BE 
12 Istituto di Ricerche Farmacologiche "Mario Negri" (IRFMN) IT 
13 Panaxea (PAN) NL 
14 Fundacio Institut Mar d'Investigacions Mediques (IMIM) ES
15 Catalyze (CAT) NL 
16 Helmholtz Zentrum Munchen (HZM)  DE

 

 * Representing the European Heart Rhythm Association (EHRA) a registered branch of the European Society of Cardiology (ESC)

Duration

Duration: 60 months

europe.pngFunded by the “Horizon 2020 – the Framework Programme for Research and Innovation (2014-2020)” of the European Union

Grant agreement 73 3381