Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8670846 | The Journal of Thoracic and Cardiovascular Surgery | 2018 | 48 Pages |
Abstract
Three distinct phenotypes of bicuspid valve-associated aortopathy were identified using machine-learning methodology. Patient characteristics and valvular dysfunction vary by phenotype, suggesting that the location of aortic pathology may be related to the underlying pathophysiology of this disease.
Keywords
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Authors
Charles M. MD, MS, Eric E. MD, Jay J. MD, MPH, Yuanjia MD, Theresa A. MPH, Ashley M. MS, Patrick H. MD, PhD, Brian MD, John PhD, Eugene H. MD, Lars G. MD, PhD, Bruce W. MD,