EuroHeart Data Standards

EuroHeart registries and data standards

Data from real-world studies show variation in the delivery of care for patients with cardiovascular disease. Working with domain experts from national registries and clinical cardiology, representing the breadth of the ESC, EuroHeart is developing a suite of data standards for common cardiovascular diseases which are being used by national registries to capture information about patients with cardiovascular disease. The aim of the collection of these data is to support the improvement of cardiovascular care quality and to provide a means for observational and randomised clinical research.

The EuroHeart data standards will comprise internationally agreed standardised variables and corresponding definitions. In addition, these data standards aim to capture, analyse and report the ESC Quality Indicators which align with the ESC Clinical Practice Guidelines. Such an integration between ESC registries and Quality Indicators allows the use of routinely collected data for the reporting of important processes of care and the monitoring of new drugs and devices.

Methodology for the development of data standards

The EuroHeart methodology for the development of data standards for cardiovascular disease has been published in the European Heart Journal - Quality of Care and Clinical Outcomes. This methodology was used in the development of data standards for acute coronary syndrome-percutaneous coronary intervention (ACS-PCI), heart failure, atrial fibrillation and transcatheter aortic valve implantation (TAVI).

Completed data standards

• ACS-PCI
• Heart failure
• Atrial fibrillation
• TAVI

Future Data Standards

During Consolidation phase, EuroHeart aims to develop more suites of data standards to address the gap in a number of cardiovascular disease conditions, such as a cardiovascular outcomes domain.
In addition, we have developed the ACS-PCI statistical analysis plan which outlines the methods by which aggregated data are collated, analysed and reported. We will develop a statistical analysis plan for each of the data standards, using the ACS-PCI statistical analysis plan as a template.