CMR-derived imaging biomarkers (LGE, MAD, and systolic curling) were significantly associated with increased risk of arrhythmic events in MVP patients (pooled RR 1.8; 95% CI 1.4-2.2).
Meta-Analysis (n=1,994)
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.
Relative Risk: 1.8 (95% CI 1.4–2.2)
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,) conducted a meta-analysis in Mitral valve prolapse (MVP) (n=1,994). CMR-derived imaging biomarkers (LGE, MAD, and systolic curling) vs. Absence of biomarkers was evaluated on Arrhythmic events (RR 1.8, 95% CI 1.4-2.2). CMR-derived imaging biomarkers (LGE, MAD, and systolic curling) were significantly associated with increased risk of arrhythmic events in MVP patients (pooled RR 1.8; 95% CI 1.4-2.2).
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