Cardiac Abnormalities in Type 1 Facioscapulohumeral Muscular Dystrophy

2017 ◽  
Vol 18 (4) ◽  
pp. 199-206 ◽  
Author(s):  
Fabien Labombarda ◽  
Maxime Maurice ◽  
Jean-Philippe Simon ◽  
Damien Legallois ◽  
Lucie Guyant-Maréchal ◽  
...  
PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0132717 ◽  
Author(s):  
Emilie Lareau-Trudel ◽  
Arnaud Le Troter ◽  
Badih Ghattas ◽  
Jean Pouget ◽  
Shahram Attarian ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Allison Ducharme-Smith ◽  
Stefan Nicolau ◽  
C. Anwar A. Chahal ◽  
Kirstie Ducharme-Smith ◽  
Shujah Rehman ◽  
...  

Background: Facioscapulohumeral muscular dystrophy (FSHD) is one of the most common muscular dystrophies and predominantly affects facial and shoulder girdle muscles. Previous case reports and cohort studies identified minor cardiac abnormalities in FSHD patients, but their nature and frequency remain incompletely characterized.Methods: We reviewed cardiac, neurological and genetic findings of 104 patients with genetically confirmed FSHD.Results: The most common conduction abnormality was complete (7%) or incomplete (5%) right bundle branch block (RBBB). Bifascicular block, left anterior fascicular block, complete atrioventricular block, and 2:1 atrioventricular block each occurred in 1% of patients. Atrial fibrillation or flutter were seen in 5% of patients. Eight percent of patients had heart failure with reduced ejection fraction and 25% had valvular disease. The latter included aortic stenosis in 6% (severe in 4% and moderate in 2%) and moderate aortic regurgitation in 8%. Mitral valve prolapse (MVP) was present in 9% of patients without significant mitral regurgitation. There were no significant associations between structural or conduction abnormalities and age, degree of muscle weakness, or size of the 4q deletion.Conclusions: Both structural and conduction abnormalities can occur in FSHD. The most common abnormalities are benign (RBBB and MVP), but more significant cardiac involvement was also observed. The presence of cardiac abnormalities cannot be predicted from the severity of the neurological phenotype, nor from the genotype.


2014 ◽  
Vol 30 (5) ◽  
pp. 580-587 ◽  
Author(s):  
Małgorzata Dorobek ◽  
Silvère M. van der Maarel ◽  
Richard J. L. F. Lemmers ◽  
Barbara Ryniewicz ◽  
Dagmara Kabzińska ◽  
...  

2020 ◽  
Vol 21 ◽  
pp. 100284
Author(s):  
Nobutoshi Morimoto ◽  
Mizuki Morimoto ◽  
Yoshiaki Takahashi ◽  
Motonori Takamiya ◽  
Ichizo Nishino ◽  
...  

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Erica Frezza ◽  
Emanuela Fuccillo ◽  
Antonio Petrucci ◽  
Giulia Greco ◽  
Gabriele Nucera ◽  
...  

2018 ◽  
Vol 59 (2) ◽  
pp. 337 ◽  
Author(s):  
Hyung Jun Park ◽  
Wookjae Lee ◽  
Se Hoon Kim ◽  
Jung Hwan Lee ◽  
Ha Young Shin ◽  
...  

2016 ◽  
Vol 48 (01) ◽  
pp. 042-044 ◽  
Author(s):  
Anjali Sharma ◽  
Sandeep Singh ◽  
Shri Mishra

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