Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9952315 | Computer Methods and Programs in Biomedicine | 2018 | 10 Pages |
Abstract
Using a data-driven approach, we conceptualized three distinct patient groups, primarily based quantitatively on baseline LV size and qualitatively by the presence of aortic valve atresia. Management strategy and overall mortality differed significantly by group. These groups roughly correspond anatomically and are analogous to multi-level LV hypoplasia, hypoplastic left heart syndrome, and critical aortic stenosis, respectively. Our analysis suggests that quantitative and qualitative assessment of left heart structures, particularly LV size and type of aortic valve pathology, may yield conceptually more internally consistent groups than a simplistic scheme limited to valvar pathology alone.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
James M. Meza, Martijn Slieker, Eugene H. Blackstone, Luc Mertens, William M. DeCampli, James K. Kirklin, Mohsen Karimi, Pirooz Eghtesady, Kamal Pourmoghadam, Richard W. Kim, Phillip T. Burch, Marshall L. Jacobs, Tara Karamlou, Brian W. McCrindle,