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The role of cardiac magnetic resonance for arrhythmic risk stratification in a patient with myocarditis

Authors :
Sabina Ficili
Giuseppe Sulsenti
Paola Belluardo
Maria Luisa Guarrella
Carmelo Di Tommasi
Salvatore Solarino
Giuseppe Abate
Nicoletta Guccione
Giovanni Tasca
Giuseppe Fede
Guglielmo Piccione
Source :
Journal of Clinical Images and Medical Case Reports.
Publication Year :
2021
Publisher :
Open Source Publications, 2021.

Abstract

Myocarditis is an inflammatory disease of cardiac muscle with a variable clinical presentation, ranging from asymptomatic cases to different degrees of left ventricular systolic dysfunction up to heart failure and dilated heart disease. Ventricular arrhythmias (VA) can occur in patients with myocarditis and implantable cardioverter defibrillator (ICD) may be indicated in patients with life-threatening VA who are not in the acute phase of myocarditis and who are receiving optimal medical therapy. Reduced left ventricular ejection fraction (LVEF) below 35%, which is used as the main criterion for stratifying the risk of sudden cardiac death (SCD), has low sensitivity and low specificity for arrhythmic risk stratification in patients with myocarditis. Myocardial scar is the main determinant for VA in these patients. Cardiac magnetic resonance imaging (CMR), using late gadolinium enhancement(LGE), has an excellent ability to determinate the extension and characterization of myocardial scar, indeed CMR can potentially improve SCD risk stratification and indication for ICD implantation in patients with myocarditis. We present a case of a 36 years-old male presenting to the Emergency Department with a monomorphic sustained ventricular tachycardia in whom MRI revealed myocardial-pericardial recurrent inflammatory involvement and worsening disease progression. ICD was implanted in consideration of the high risk of life-threatening arrhythmias.

Details

ISSN :
27667820
Database :
OpenAIRE
Journal :
Journal of Clinical Images and Medical Case Reports
Accession number :
edsair.doi...........3c7e16f830f230225d3dbc2d8cdfa9de
Full Text :
https://doi.org/10.52768/2766-7820/1008