There is growing clinical need and interest to implement novel risk prediction tools in bicuspid aortic valve-associated proximal aortic disease, so-called bicuspid aortic valve aortopathy. Inherent limitations of the diameter-based risk stratification for adverse aortic events in bicuspid aortic valve aortopathy patients have recently been recognized. Therefore, alternative diagnostic tools and subsequent adjustments in the treatment guidelines are urgently needed. Herein, we summarize the current evidence on recent diagnostic developments to improve risk stratification in bicuspid aortic valve aortopathy, including circulating microRNAs as biomarkers to predict the progression of aortic disease.
Keywords: Aortic valve; biomarkers; congenital; heart defects; microRNAs; risk factors.