Development of the MAGIC congenital heart disease catheterization database for interventional outcome studies.

Published

Journal Article

As the field of catheter-based therapies for congenital heart disease continues to expand, we lack the evidence-based data to make appropriate therapeutic decisions in the catheterization laboratory. A stumbling block to the determination of evidence-based therapies is our inability to simply and reliably share outcome data across multiple centers. We investigated whether a commonly used congenital heart disease catheterization database program (PedCath) could be used as an automatic catheterization data submission tool to a central database for outcome analysis. To test the feasibility of such a tool for collaborative outcomes research we formed a national group of seven congenital heart disease centers, the Mid-Atlantic Group of Interventional Cardiology, to warehouse and analyze catheterization data. We successfully modified PedCath to transfer the results of catheter-based therapies on 256 therapeutic procedures for atrial septal defect (ASD) closure, coarctation of the aorta angioplasty and stenting, and pulmonary and aortic balloon valvuloplasties over a 13-month pilot period. Short-term follow-up within the 13-month period was received on 31 patients. This study demonstrated the successful development of a simple process, requiring minimal data entry for investigators from around the world to share cardiac catheterization data for long-term outcome determination of catheter-based therapies for congenital heart disease.

Full Text

Cited Authors

  • Everett, AD; Ringel, R; Rhodes, JF; Doyle, TP; Owada, CY; Holzer, RJ; Cheatham, JP; Ringewald, J; Bandisode, V; Chen, Y-L; Lim, DS

Published Date

  • April 2006

Published In

Volume / Issue

  • 19 / 2

Start / End Page

  • 173 - 177

PubMed ID

  • 16650249

Pubmed Central ID

  • 16650249

Electronic International Standard Serial Number (EISSN)

  • 1540-8183

International Standard Serial Number (ISSN)

  • 0896-4327

Digital Object Identifier (DOI)

  • 10.1111/j.1540-8183.2006.00128.x

Language

  • eng