Literature DB >> 10525524

Is it possible to identify infrahissian cardiac conduction abnormalities in myotonic dystrophy by non-invasive methods?

D Babuty1, L Fauchier, D Tena-Carbi, P Poret, J Leche, M Raynaud, J P Fauchier, P Cosnay.   

Abstract

OBJECTIVE: To identify intracardiac conduction abnormalities in patients with myotonic dystrophy from their clinical, ECG, and genetic features.
METHODS: 39 consecutive patients (mean (SD) age 42. 9 (12.1) years; 16 female, 23 male) underwent clinical examination, genetic studies, resting and 24 hour ambulatory ECG, signal averaged ECG, and electrophysiological studies.
RESULTS: 23 patients suffered from cardiac symptoms, 23 had one or more cardiac conduction abnormality on resting ECG, one had sinus deficiency, and 21 (53.8%) had prolonged HV intervals. No correlation was found between the severity of the neurological symptoms, onset of disease, cardiac conduction abnormalities on ECG, and the intracardiac conduction abnormalities on electrophysiological study. The size of the DNA mutation was longer in the abnormal HV interval group than in the normal HV interval group (3.5 (1.8) v 2.2 (1.0) kb, p < 0.02). Signal averaged ECG parameters (total QRS duration (QRSD) and duration of low amplitude signals </= 40 microV (LAS 40)) were greater in patients with an abnormal HV interval than in those with a normal HV interval (123.4 (24.6) v 102.8 (12.3) ms and 47.5 (12.8) v 35.3 (8.8) ms, respectively; p < 0.005). Only the association of QRSD >/= 100 ms with LAS 40 >/= 36 ms identified patients with an abnormal HV interval with good sensitivity (80%) and specificity (83. 3%).
CONCLUSIONS: Infrahissian conduction abnormalities are common in myotonic dystrophy and can be identified using signal averaged electrocardiography.

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Year:  1999        PMID: 10525524      PMCID: PMC1760780          DOI: 10.1136/hrt.82.5.634

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  19 in total

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Journal:  Am J Cardiol       Date:  1994-11-15       Impact factor: 2.778

5.  Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction.

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Journal:  Circulation       Date:  1981-08       Impact factor: 29.690

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7.  Relationship between parental trinucleotide GCT repeat length and severity of myotonic dystrophy in offspring.

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Journal:  JAMA       Date:  1993-04-21       Impact factor: 56.272

8.  Correlation between decreased myocardial glucose phosphorylation and the DNA mutation size in myotonic dystrophy.

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Journal:  Circulation       Date:  1994-12       Impact factor: 29.690

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10.  Unstable DNA may be responsible for the incomplete penetrance of the myotonic dystrophy phenotype.

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Journal:  Hum Mol Genet       Date:  1992-10       Impact factor: 6.150

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  9 in total

1.  Does cytosine-thymine-guanine (CTG) expansion size predict cardiac events and electrocardiographic progression in myotonic dystrophy?

Authors:  N R Clarke; A D Kelion; J Nixon; D Hilton-Jones; J C Forfar
Journal:  Heart       Date:  2001-10       Impact factor: 5.994

Review 2.  Cardiac involvement in patients with muscular dystrophies: magnetic resonance imaging phenotype and genotypic considerations.

Authors:  David Verhaert; Kathryn Richards; Jill A Rafael-Fortney; Subha V Raman
Journal:  Circ Cardiovasc Imaging       Date:  2011-01       Impact factor: 7.792

3.  Usefulness of clinical and electrocardiographic data for predicting adverse cardiac events in patients with myotonic dystrophy.

Authors:  Robert Breton; Jean Mathieu
Journal:  Can J Cardiol       Date:  2009-02       Impact factor: 5.223

4.  Unmasked Brugada pattern by ajmaline challenge in patients with myotonic dystrophy type 1.

Authors:  Thomas Pambrun; Agustín Bortone; Patrick Bois; Bruno Degand; Sylvie Patri; Aurélie Mercier; Mohamed Chahine; Aurélien Chatelier; Damien Coisne; Alain Amiel
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-06-18       Impact factor: 1.468

5.  Characterization of cardiac conduction system abnormalities in mice with targeted disruption of Six5 gene.

Authors:  Hiroko Wakimoto; Colin T Maguire; Megan C Sherwood; Marcel M Vargas; Partha S Sarkar; Jennifer Han; Sita Reddy; Charles I Berul
Journal:  J Interv Card Electrophysiol       Date:  2002-10       Impact factor: 1.900

6.  The evolution of infrahissian conduction time in myotonic dystrophy patients: clinical implications.

Authors:  Bénédicte Lallemand; Nicolas Clementy; Anne Bernard-Brunet; Bertrand Pierre; Philippe Corcia; Laurent Fauchier; Martine Raynaud; Sybille Pellieux; Dominique Babuty
Journal:  Heart       Date:  2011-10-29       Impact factor: 5.994

7.  [Cardiac involvement in Steinert myotonic dystrophy: Moroccan experience, about 18 cases].

Authors:  Ghita Saghi; Rachida Bouhouch; Loubna Salaheddine; Nezha Birouk; Salama Nadifi; Ibtissam Fellat; Mohamed Cherti
Journal:  Pan Afr Med J       Date:  2015-02-16

8.  Should we perform systematic electrophysiological study in Steinert's disease?

Authors:  Abdallah Fayssoil
Journal:  J Cardiothorac Surg       Date:  2008-10-18       Impact factor: 1.637

9.  Electrocardiographic predictors of infrahissian conduction disturbances in myotonic dystrophy type 1.

Authors:  Isis B T Joosten; Romy van Lohuizen; Dennis W den Uijl; Reinder Evertz; Bianca T A de Greef; Baziel G M van Engelen; Catharina G Faber; Kevin Vernooy
Journal:  Europace       Date:  2021-02-05       Impact factor: 5.214

  9 in total

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