Imaging Quality Control, Methodology Harmonization and Clinical Data Management in Stress Echo 2030

Area of Science:

• Cardiology
• Medical Imaging
• Clinical Research Informatics

Background:

• The Stress Echo 2030 study builds upon the SE 2020 initiative, which established the "ABCDE protocol" for stress echocardiography.
• Contemporary patients present complex cardiovascular vulnerabilities, necessitating advanced diagnostic approaches beyond conventional stress echo.

Purpose of the Study:

• To detail the quality control methodologies for imaging data within the Stress Echo 2030 study.
• To present the REDCap-based informatics infrastructure designed for efficient data management in a large-scale, international multicenter study.

Main Methods:

• Implementation of a Research Electronic Data Capture (REDCap) platform for interactive, web-based data management.
• Development of stringent quality control procedures for imaging data acquisition and analysis.
• Harmonization of methodological approaches across multiple international centers.

Main Results:

• The study successfully established a robust, web-based data management system using REDCap.
• Quality control protocols were implemented to ensure data integrity and consistency across diverse centers.
• The infrastructure supports the integration and optimization of reproducible clinical research data.

Conclusions:

• The REDCap-based infrastructure is crucial for managing data in large-scale, multicenter stress echocardiography studies.
• Effective quality control and data management are essential for the success of the Stress Echo 2030 initiative.
• This approach facilitates reproducible research and advances the understanding of cardiovascular conditions.