Heart4Data

2022

Registry-based research enables faster and cheaper clinical research by using real world data. This is particularly important in patient populations where research is otherwise difficult to conduct, such as heart failure patients with comorbidities. The main aim of the Heart4data consortium is therefore to develop a sustainable infrastructure for cardiovascular registry-based research in the Netherlands. This includes governance and Information Technology (IT) infrastructure, research methods, FAIR (findable, accessible, interoperable and reusable) data creation and data linkage with relevant databases.
   
About Heart4Data 
The Heart4Data consortium is building on the core qualities and experience of DCVA partners. Heart4Data will create a DCVA Health Data Hub that will be part of the DCVA pillar Data Infrastructure to combine all expertises across the different DCVA partners as part of the sustainability program. 
 
In addition, Heart4Data will contribute to improvement of valorisation and implementation through accelerating the generation of results and facilitate DCVA consortia by providing a platform for research at lower operational costs compared to more traditional research methods. 
 
The Research
1. To create a national and sustainable FAIR data-based infrastructure for cardiovascular registry-based research. 
The infrastructure includes a framework/structure for the governance, and the ethical, legal, financial, technological and methodological factors. There will be a special focus on heart failure in this project by creating a sustainable heart failure (and atrial fibrillation (AF)) registry in the Netherlands Heart Registration (NHR) and links with other relevant national and regional registries and data sources. 
 
2. To use and prove value of the infrastructure by conducting two projects: 
  - Observational, longitudinal research on the entire spectrum of patients with heart failure (including patients with HFpEF) in the Netherlands (project A) with focus on guideline recommended diagnostic trajectories and treatment. 
- Prospective randomized clinical research on pharmaco-therapeutic treatment in patients with chronic heart failure (project B: SELEQT-HF). 

The origin

One of the five top priorities named on the cardiovascular disease research agenda that the Dutch Heart Foundation set in 2014 was finding better treatment for heart failure and arrhythmias. Back in 2014, when the research agenda was drawn up, it became clear that registry-based research is essential for this. The Dutch Heart Foundation therefore funded this study as part of the collaboration with the ZonMw GGG program on Good Use of Medicines (Goed Gebruik Geneesmiddelen).

For a complex project such as this, collaboration within the entire cardiovascular field is an important starting point. The consortium is a collaboration between several DCVA partners; the Dutch Heart Foundation, ZonMw, NHR, WCN, Harteraad, NLHI, NVHVV, NVT, NVVC, VIG and Health-RI.

Collaborators

Funded

Principal investigators

Prof. dr. Folkert Asselbergs

Dennis van Veghel

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The correct interpretation of electrocardiograms (ECGs) is crucial for accurately diagnosing cardiac abnormalities. Current methods, both manual by physicians and computerized, have not achieved the level of accuracy comparable to cardiologists in detecting acute cardiac issues. Leveraging advancements in artificial intelligence and big data, particularly deep neural networks, offers promising avenues to improve ECG interpretation where traditional methods have fallen short. The ECG-Project develops deep learning algorithms to automate ECG interpretation, particularly focusing on areas where current methods are inadequate.
Through this research, we aim to revolutionize ECG interpretation, improving diagnostic accuracy, reducing healthcare resource utilization, and ultimately enhancing patient outcomes.
The Research
The project objectives are:

WP1: Creating an algorithm capable of accurately and swiftly triaging ECGs through transfer learning, uncovering features in diseases with unknown ECG characteristics (such as primary arrhythmia syndromes and genetic disorders).
WP2: design a portable multi-lead ecg-device, suitable for use by patients at home and healthcare professionals. This device will enable high-quality ECG acquisitions for rapid diagnosis.

Origin
This project is funded within the Innovative Medical Devices Initiative (IMDI) program 'Heart for Sustainable Care'. The focus of this program is the development of medical technology for the earlier detection, monitoring, and better treatment of cardiovascular diseases to ensure accessible healthcare and sufficient staffing. The program has been developed and funded by the Dutch Heart Foundation, ZonMw and NWO, who collaborate within the Dutch CardioVascular Alliance.

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EMBRACE

2023

Atrial fibrillation (AF) is not benign. It commonly progresses from paroxysmal AF (PAF) to permanent AF. AF progression is associated with major adverse cardiovascular/cerebral events (MACCE). Cardiovascular risk factors and comorbidities (CVR) are present long before the first AF episode, causing a progressive atrial cardiomyopathy (ACM). The mechanisms of ACM vary between patients hindering effective AF management. The EmbRACE network now aims to unravel the diversity of mechanisms underlying ACM, identify simple diagnostic tools to identify them, and develop a therapeutic approach to prevent ACM progression.
The Research
Early rhythm-control therapy is one promising intervention to potentially interfere with ACM progression next to CVR management. For a sustained impact we aim to develop care pathways to prevent ACM and AF progression and MACCE. Therefore, we will

identify and validate relevant cellular and molecular determinants of ACM and AF and their clinical surrogate parameters;
develop an in-silico platform to simulate identified mechanisms of ACM and AF and their effects on AF progression and, based on these data, make suggestions for future refinement of ACM therapy;
explore the variety of temporal patterns of PAF as markers of ACM subtypes, demonstrate their prognostic relevance and identify surrogate markers available in clinical practice, based on AI and machine learning;
test in a randomized trial stratified for sex the hypothesis that early AF ablation and optimal CVR management in AF patients with ACM delays ACM progression and reduces MACCE;
explore whether lifestyle management reduces ACM progression, whereas with only rate control ACM progresses;
validate the RACE V AF progression score in real life cohorts and translate this and other knowledge into novel care pathways for AF.

The origin
Atrial fibrillation is the most common cardiac arrhythmia and can lead to a variety of complications, such as stroke. Currently, there are limited treatment options for this cardiac arrhythmia. Moreover, the disease is often noticed late, which makes proper treatment even more difficult. Therefore, the Dutch Heart Foundation funded the RACE V consortium. Afterwards, the Dutch Heart Foundation guided an exploration to form a national consortium as a follow-up around this theme. This led to the EmbRACE consortium, which is a national network of six university medical centers, UMC Groningen, Maastricht UMC+, UMC Utrecht, Amsterdam UMC and LUMC and Erasmus MC, and hospitals in Arnhem and Eindhoven. The Dutch Heart Foundation funds the research.

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