An image-based algorithm utilizing speckle-tracking echocardiography and cardiac magnetic resonance is proposed to help stratify arrhythmic risk in asymptomatic patients with mitral valve prolapse.
Does an image-based algorithm improve risk stratification for sudden cardiac death in asymptomatic patients with mitral valve prolapse?
Asymptomatic patients with mitral valve prolapse (MVP)
Image-based algorithm for risk stratification (including speckle-tracking echocardiography and cardiac magnetic resonance)
Risk stratification for sudden cardiac death / identification of arrhythmogenic substrate
This review proposes a practical, image-based algorithm using advanced echocardiography and cardiac MRI to identify asymptomatic mitral valve prolapse patients at high risk for sudden cardiac death.
Mitral valve prolapse (MVP) is usually regarded as a benign condition though the proportion of patients with a life-threatening arrhythmic MVP form remains undefined. Recently, an experts' consensus statement on arrhythmic MVP has proposed approaches for risk stratification across the spectrum of clinical manifestation. However, sudden cardiac death may be the first presentation, making clinicians focused to early unmasking this subset of asymptomatic patients. Growing evidence on the role of cardiac imaging in the in-deep stratification pathway has emerged in the last decade. Pathology findings have suggested the fibrosis of papillary muscles and inferobasal left ventricular wall as the malignant hallmark. Cardiac magnetic resonance, while of limited availability, allows the identification of this arrhythmogenic substrate. Therefore, speckle-tracking echocardiography may be a gateway to prompt referring patients to further advanced imaging investigation. Our review aims to summarize the phenotypic features linked to the arrhythmic risk and to propose an image-based algorithm intended to help stratifying asymptomatic MVP patients.
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Alessandro Malagoli
Alessandro Albini
Giovanni Benfari
Structural Heart Disease
European Heart Journal - Cardiovascular Imaging
Istituti di Ricovero e Cura a Carattere Scientifico
University of Naples Federico II
University of Verona
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Malagoli et al. (Thu,) conducted a review in Arrhythmic mitral valve prolapse. Image-based algorithm (speckle-tracking echocardiography and cardiac magnetic resonance) was evaluated. An image-based algorithm utilizing speckle-tracking echocardiography and cardiac magnetic resonance is proposed to help stratify arrhythmic risk in asymptomatic patients with mitral valve prolapse.
synapsesocial.com/papers/6a13d9d1f88db7183c597f27 — DOI: https://doi.org/10.1093/ehjci/jead332
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