Cargando…

Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population

Bileaflet Mitral Valve Prolapse (bMVP) has been linked to major arrhythmic events and sudden cardiac death (SCD). Consistent predictors in this field are still lacking. Echocardiography is the best tool for the analysis of the prolapse and its impact on the ventricular mechanics. The aim of this stu...

Descripción completa

Detalles Bibliográficos
Autores principales: Vairo, Alessandro, Desalvo, Paolo, Rinaudo, Andrea, Piroli, Francesco, Tribuzio, Anna, Ballatore, Andrea, Marcelli, Gianluca, Pistelli, Lorenzo, Dusi, Veronica, Montali, Nicolò, Alunni, Gianluca, Barbero, Cristina, Salizzoni, Stefano, Pocar, Marco, Rinaldi, Mauro, Gaita, Fiorenzo, De Ferrari, Gaetano Maria, Giustetto, Carla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917801/
https://www.ncbi.nlm.nih.gov/pubmed/36769881
http://dx.doi.org/10.3390/jcm12031232
_version_ 1784886454847012864
author Vairo, Alessandro
Desalvo, Paolo
Rinaudo, Andrea
Piroli, Francesco
Tribuzio, Anna
Ballatore, Andrea
Marcelli, Gianluca
Pistelli, Lorenzo
Dusi, Veronica
Montali, Nicolò
Alunni, Gianluca
Barbero, Cristina
Salizzoni, Stefano
Pocar, Marco
Rinaldi, Mauro
Gaita, Fiorenzo
De Ferrari, Gaetano Maria
Giustetto, Carla
author_facet Vairo, Alessandro
Desalvo, Paolo
Rinaudo, Andrea
Piroli, Francesco
Tribuzio, Anna
Ballatore, Andrea
Marcelli, Gianluca
Pistelli, Lorenzo
Dusi, Veronica
Montali, Nicolò
Alunni, Gianluca
Barbero, Cristina
Salizzoni, Stefano
Pocar, Marco
Rinaldi, Mauro
Gaita, Fiorenzo
De Ferrari, Gaetano Maria
Giustetto, Carla
author_sort Vairo, Alessandro
collection PubMed
description Bileaflet Mitral Valve Prolapse (bMVP) has been linked to major arrhythmic events and sudden cardiac death (SCD). Consistent predictors in this field are still lacking. Echocardiography is the best tool for the analysis of the prolapse and its impact on the ventricular mechanics. The aim of this study was to find new echocardiographic predictors of malignant events within an arrhythmic MVP population. We evaluated 22 patients with arrhythmic bMVP with a transthoracic echocardiogram focused on mitral valve anatomy and ventricular contraction. Six of them had major arrhythmic events that required ICD implantation (ICD-MVP group), while sixteen presented with a high arrhythmic burden without major events (A-MVP group). The best predictors of malignant events were the Anterior Mitral Leaflet (AML) greater length and greater Mechanical Dispersion (MD) of basal and mid-ventricular segments, while other significant predictors were the larger mitral valve annulus (MVA) indexed area, lower MVA anteroposterior diameter/AML length ratio, higher inferolateral basal segment S3 velocity.
format Online
Article
Text
id pubmed-9917801
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99178012023-02-11 Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population Vairo, Alessandro Desalvo, Paolo Rinaudo, Andrea Piroli, Francesco Tribuzio, Anna Ballatore, Andrea Marcelli, Gianluca Pistelli, Lorenzo Dusi, Veronica Montali, Nicolò Alunni, Gianluca Barbero, Cristina Salizzoni, Stefano Pocar, Marco Rinaldi, Mauro Gaita, Fiorenzo De Ferrari, Gaetano Maria Giustetto, Carla J Clin Med Article Bileaflet Mitral Valve Prolapse (bMVP) has been linked to major arrhythmic events and sudden cardiac death (SCD). Consistent predictors in this field are still lacking. Echocardiography is the best tool for the analysis of the prolapse and its impact on the ventricular mechanics. The aim of this study was to find new echocardiographic predictors of malignant events within an arrhythmic MVP population. We evaluated 22 patients with arrhythmic bMVP with a transthoracic echocardiogram focused on mitral valve anatomy and ventricular contraction. Six of them had major arrhythmic events that required ICD implantation (ICD-MVP group), while sixteen presented with a high arrhythmic burden without major events (A-MVP group). The best predictors of malignant events were the Anterior Mitral Leaflet (AML) greater length and greater Mechanical Dispersion (MD) of basal and mid-ventricular segments, while other significant predictors were the larger mitral valve annulus (MVA) indexed area, lower MVA anteroposterior diameter/AML length ratio, higher inferolateral basal segment S3 velocity. MDPI 2023-02-03 /pmc/articles/PMC9917801/ /pubmed/36769881 http://dx.doi.org/10.3390/jcm12031232 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vairo, Alessandro
Desalvo, Paolo
Rinaudo, Andrea
Piroli, Francesco
Tribuzio, Anna
Ballatore, Andrea
Marcelli, Gianluca
Pistelli, Lorenzo
Dusi, Veronica
Montali, Nicolò
Alunni, Gianluca
Barbero, Cristina
Salizzoni, Stefano
Pocar, Marco
Rinaldi, Mauro
Gaita, Fiorenzo
De Ferrari, Gaetano Maria
Giustetto, Carla
Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population
title Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population
title_full Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population
title_fullStr Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population
title_full_unstemmed Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population
title_short Echocardiographic Parameters to Predict Malignant Events in Arrhythmic Mitral Valve Prolapse Population
title_sort echocardiographic parameters to predict malignant events in arrhythmic mitral valve prolapse population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917801/
https://www.ncbi.nlm.nih.gov/pubmed/36769881
http://dx.doi.org/10.3390/jcm12031232
work_keys_str_mv AT vairoalessandro echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT desalvopaolo echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT rinaudoandrea echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT pirolifrancesco echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT tribuzioanna echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT ballatoreandrea echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT marcelligianluca echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT pistellilorenzo echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT dusiveronica echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT montalinicolo echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT alunnigianluca echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT barberocristina echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT salizzonistefano echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT pocarmarco echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT rinaldimauro echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT gaitafiorenzo echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT deferrarigaetanomaria echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation
AT giustettocarla echocardiographicparameterstopredictmalignanteventsinarrhythmicmitralvalveprolapsepopulation