Literature DB >> 32936277

Association Between Malignant Mitral Valve Prolapse and Sudden Cardiac Death: A Review.

Lakshmi Muthukumar1, Arshad Jahangir1, M Fuad Jan1, Ana Cristina Perez Moreno2, Bijoy K Khandheria1,3, A Jamil Tajik1.   

Abstract

Importance: Malignant arrhythmic mitral valve prolapse (MVP) phenotype poses a substantial risk of sudden cardiac death (SCD), and an estimated 26 000 individuals in the United States are at risk of SCD per year. Thus, identifying risk-stratification strategies for SCD is imperative. Observations: Patients with MVP have a heterogenous clinical spectrum, ranging from a benign course to a devastating complication such as SCD. Some of the high-risk markers of MVP, which are identified electrocardiographically, include inverted or biphasic T waves, QT dispersion, QT prolongation, and premature ventricular contractions originating from the left ventricular outflow tract and papillary muscles. Morphofunctional characteristics of SCD are leaflet thickness of 5 mm or greater, mitral annulus disjunction, paradoxical systolic increase of the mitral annulus diameter, increased tissue Doppler velocity of the mitral annulus, and higher mechanical dispersion on echocardiography and fibrosis identified by late gadolinium enhancement on cardiac magnetic resonance imaging. Conclusions and Relevance: Findings from this review suggest that SCD can occur earlier in the course of MVP from complex arrhythmias that are triggered by the repeated tugging and traction of the chordopapillary muscle unit and basal mid-myocardium, even before macrofibrosis can be identified in these regions by late gadolinium enhancement on cardiac magnetic resonance imaging. Some of the newer markers identified by speckle-tracking Doppler, such as mechanical dispersion, myocardial work index, and postsystolic shortening, need further validation in a larger population.

Entities:  

Year:  2020        PMID: 32936277     DOI: 10.1001/jamacardio.2020.1412

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  8 in total

1.  Mitral valve prolapse imaging: the role of tissue characterization.

Authors:  Silvia Pradella; Giulia Grazzini; Vittorio Miele
Journal:  Quant Imaging Med Surg       Date:  2020-12

2.  Echocardiographic screening for mitral valve prolapse in Turkish school children.

Authors:  Utku Çağlayan; Mehmet Gökhan Ramoğlu; Semra Atalay; Tayfun Uçar; Ercan Tutar
Journal:  Int J Cardiovasc Imaging       Date:  2021-01-27       Impact factor: 2.357

3.  Malignant Mitral Valve Prolapse: Risk and Prevention of Sudden Cardiac Death.

Authors:  Yasufumi Nagata; Philippe B Bertrand; Robert A Levine
Journal:  Curr Treat Options Cardiovasc Med       Date:  2022-03-22

4.  Malignant Arrhythmic Mitral Valve Prolapse: A Continuum of Clinical Challenges from Diagnosis to Risk Stratification and Patient Management.

Authors:  Idit Yedidya; Aniek L van Wijngaarden; Nina Ajmone Marsan
Journal:  J Cardiovasc Dev Dis       Date:  2020-12-29

5.  Prevalence and potential genetic determinants of young sudden unexplained death victims with suspected arrhythmogenic mitral valve prolapse syndrome.

Authors:  John R Giudicessi; Joseph J Maleszewski; David J Tester; Michael J Ackerman
Journal:  Heart Rhythm O2       Date:  2021-07-22

6.  Arrhythmic Mitral Valve Prolapse in the Young: A Rare but Concerning Entity.

Authors:  Nicolò Martini; Alberto Cipriani; Bortolo Martini; Barbara Bauce; Martina Perazzolo Marra; Sabino Iliceto; Domenico Corrado
Journal:  Diagnostics (Basel)       Date:  2022-06-22

7.  Prevalence of Mitral Annulus Disjunction and Mitral Valve Prolapse in Patients With Idiopathic Ventricular Fibrillation.

Authors:  Sanne A Groeneveld; Feddo P Kirkels; Maarten J Cramer; Reinder Evertz; Kristina H Haugaa; Pieter G Postema; Niek H J Prakken; Arco J Teske; Arthur A M Wilde; Birgitta K Velthuis; Robin Nijveldt; Rutger J Hassink
Journal:  J Am Heart Assoc       Date:  2022-08-05       Impact factor: 6.106

Review 8.  Arrhythmic Mitral Valve Prolapse: Introducing an Era of Multimodality Imaging-Based Diagnosis and Risk Stratification.

Authors:  Deni Kukavica; Marco Guglielmo; Andrea Baggiano; Giuseppe Muscogiuri; Laura Fusini; Manuela Muratori; Gloria Tamborini; Valentina Mantegazza; Alessandro Trancuccio; Carlo Arnò; Andrea Mazzanti; Mauro Pepi; Silvia Giuliana Priori; Gianluca Pontone
Journal:  Diagnostics (Basel)       Date:  2021-03-08
  8 in total

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