Do CMR-derived imaging biomarkers (LGE, MAD, systolic curling) predict arrhythmic events in patients with mitral valve prolapse?
CMR-derived imaging biomarkers, including LGE, MAD, and systolic curling, are significant predictors of arrhythmic events in patients with mitral valve prolapse.
Cardiac magnetic resonance (CMR) has gained ground in the assessment of mitral valve prolapse (MVP) patients. In this meta-analysis, we assessed the prognostic value of key CMR-derived imaging biomarkers -late gadolinium enhancement (LGE), mitral annular disjunction (MAD), and systolic curling- in patients with MVP. We also aimed to define the clinical and imaging features of patients with LGE on CMR. A total of 15 studies comprising 1,994 patients with MVP were included in this systematic review. All 3 MVP-related imaging biomarkers were significantly associated with increased risk of arrhythmic events (pooled RRs: 1.8, 95% CI 1.4 to 2.2, I
Papanastasiou et al. (Fri,) studied this question.