Definitions of clinical study outcome measures for cardiovascular diseases: the European Unified Registries for Heart Care Evaluation and Randomized Trials (EuroHeart)

European Heart Journal

15 November 2024
Organised by: Logo
ESC Journals ARRHYTHMIAS AND DEVICE THERAPY CORONARY ARTERY DISEASE, ACUTE CORONARY SYNDROMES, ACUTE CARDIAC CARE Acute Cardiac Care Acute Coronary Syndromes HEART FAILURE Acute Heart Failure Chronic Heart Failure Atrial Fibrillation (AF) Interventional Cardiology VALVULAR, MYOCARDIAL, PERICARDIAL, PULMONARY, CONGENITAL HEART DISEASE Valvular Heart Disease

Abstract

AbstractBackground and Aims

Standardized definitions for outcome measures in randomized clinical trials and observational studies are essential for robust and valid evaluation of medical products, interventions, care, and outcomes. The European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart) project of the European Society of Cardiology aimed to create international data standards for cardiovascular clinical study outcome measures.

Methods

The EuroHeart methods for data standard development were used. From a Global Cardiovascular Outcomes Consortium of 82 experts, five Working Groups were formed to identify and define key outcome measures for: cardiovascular disease (generic outcomes), acute coronary syndrome and percutaneous coronary intervention (ACS/PCI), atrial fibrillation (AF), heart failure (HF) and transcatheter aortic valve implantation (TAVI). A systematic review of the literature informed a modified Delphi method to reach consensus on a final set of variables. For each variable, the Working Group provided a definition and categorized the variable as mandatory (Level 1) or optional (Level 2) based on its clinical importance and feasibility.

Results

Across the five domains, 24 Level 1 (generic: 5, ACS/PCI: 8, AF: 2; HF: 5, TAVI: 4) and 48 Level 2 (generic: 18, ACS-PCI: 7, AF: 6, HF: 2, TAVI: 15) outcome measures were defined.

Conclusions

Internationally derived and endorsed definitions for outcome measures for a range of common cardiovascular diseases and interventions are presented. These may be used for data alignment to enable high-quality observational and randomized clinical research, audit, and quality improvement for patient benefit.

Contributors

Chris Wilkinson
Chris Wilkinson

Author

Hull York Medical School York , United Kingdom of Great Britain & Northern Ireland

Asad Bhatty
Asad Bhatty

Author

Leeds Institute of Cardiovascular and Metabolic Medicine Leeds , United Kingdom of Great Britain & Northern Ireland

Alar Irs
Alar Irs

Author

Bogdan A Popescu
Bogdan A Popescu

Author

Institute of Cardiovascular Diseases Prof. C.C. Iliescu Bucharest , Romania

Raffaele Bugiardini
Raffaele Bugiardini

Author

University of Bologna Bologna , Italy

Edina Cenko
Edina Cenko

Author

University of Bologna Bologna , Italy

Ramesh Nadarajah
Ramesh Nadarajah

Author

Leeds General Infirmary Leeds , United Kingdom of Great Britain & Northern Ireland

Barbara Casadei
Barbara Casadei

Author

National Heart and Lung Institute Imperial College London , United Kingdom of Great Britain & Northern Ireland

Dan Atar
Dan Atar

Author

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