Skip to main content
Log in

A 34-year longitudinal study on long-term cardiac outcomes in DM1 patients with normal ECG at baseline at an Italian clinical centre

  • Original Communication
  • Published:
Journal of Neurology Aims and scope Submit manuscript

Abstract

Cardiac conduction and/or rhythm abnormalities (CCRA) are the most frequent and life-threatening complications in DM1. In order to determine prevalence, incidence, characteristics, age of onset and predictors of CCRA, CCRA progression and sudden cardiac death (SCD) in DM1, we collected ECG/24hECG-Holter data from a yearly updated 34-year database of a cohort of 103 DM1 patients without cardiac abnormalities at baseline, followed for at least 1 year. Fifty-five patients developed CCRA [39 developed conduction abnormalities (CCA) and 16 rhythm abnormalities (CRA)], which progressed in 22. Nine had SCD. Risk and incidence of CCRA amounted to 53.4 and 6.83% person-years (CCA: 37.9 and 4.8%; CRA 15.5 and 2%), respectively; risk and incidence of SCD amounted to 8.74 and 0.67% person-years, respectively. CTG expansion represented a predictor of CCRA incidence (HR 1.10, p = 0.04), CCRA progression (HR 1.28, p = 0.001) and SCD (HR 1.39, p = 0.002). MIRS progression during follow-up was associated with CCRA prevalence (OR 5.82, p = 0.004); older age and larger CTG expansion to SCD prevalence (OR 2.67, p = 0.012; OR 1.54, p = 0.005). Age of CCRA onset and CCRA progression was significantly lower in patients with larger CTG expansion and in those with MIRS progression. Age when SCD occurred was significantly lower in patients with larger CTG expansion. Amongst recorded cardiac abnormalities, both atrial flutter (OR 8.70; p = 0.031) and paroxysmal supraventricular tachycardia (OR 8.67; p = 0.040) were associated with SCD. Although all DM1patients may develop cardiac abnormalities at any time in their life, patients older than 30 years with larger CTG expansion and MIRS progression in particular should be carefully monitored via periodical ECG.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Ashizawa T, Epstein HF (1991) Ethnic distribution of myotonic dystrophy gene. Lancet 338(8767):642–643

    Article  CAS  PubMed  Google Scholar 

  2. Mahadevan M, Tsilfidis C, Sabourin L et al (1992) Myotonic dystrophy mutation: an unstable CTG repeat in the 3_ untranslated region of the gene. Science 255(5049):1253–1255

    Article  CAS  PubMed  Google Scholar 

  3. Mathieu J, Allard P, Potvin L, Prévost C, Bégin P (1999) A 10-year study of mortality in a cohort of patients with myotonic dystrophy. Neurology 52:1658

    Article  CAS  PubMed  Google Scholar 

  4. Phillips MF, Harper PS (1997) Cardiac disease in myotonic dystrophy. Cardiovasc Res 33:13–22

    Article  CAS  PubMed  Google Scholar 

  5. Petri H, Vissing J, Witting N, Bundgaard H, Kober L (2012) Cardiac manifestations of myotonic dystrophy type 1. Int J Cardiol 160:82–88

    Article  PubMed  Google Scholar 

  6. Wahbi K, Babuty D, Probst et al (2017) Incidence and predictors of sudden death, major conduction defects and sustained ventricular tachyarrhythmias in 1388 patients with myotonic dystrophy type 1. Eur Heart J 38:751–758

    PubMed  Google Scholar 

  7. Gagnon C, Chouinard MC, Laberge L et al (2010) Health supervision and anticipatory guidance in adult myotonic dystrophy type 1. DMI Expert Panel. Neuromuscul Disord 20:847–851

    Article  CAS  PubMed  Google Scholar 

  8. Priori SG, Blomström-Lundqvist C, Mazzanti A et al (2015) 2015 ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death. Europace 17:1601–1687

    PubMed  Google Scholar 

  9. Wahbi K, Meune C, Porcher R et al (2012) Electrophysiological study with prophylactic pacing and survival in adults with myotonic dystrophy and conduction system disease. JAMA 307:1292–1301

    Article  CAS  PubMed  Google Scholar 

  10. Groh WJ, Groh MR, Saha C et al (2008) Electrocardiographic abnormalities and sudden death in myotonic dystrophy type 1. N Engl J Med 358:2688–2697

    Article  CAS  PubMed  Google Scholar 

  11. Botta A, Bonifazi E, Vallo L et al (2006) Italian guidelines for molecular analysis in myotonic dystrophy. Acta Myol 25:23–33

    CAS  PubMed  Google Scholar 

  12. Dogan C, De Antonio M, Hamroun D, Varet H, Fabbro M, Rougier F et al (2016) Gender as a modifying factor influencing myotonic dystrophy type 1 phenotype severity and mortality: a nationwide multiple databases cross-sectional observational study. PLoS ONE 11:e0148264. https://doi.org/10.1371/journal.pone.0148264

    Article  PubMed  PubMed Central  Google Scholar 

  13. Mathieu J, Boivin H, Meunier D, Gaudreault M, Bégin P (2001) Assessment of a disease-specific muscular impairment rating scale in myotonic dystrophy. Neurology 56:336–340

    Article  CAS  PubMed  Google Scholar 

  14. Cudia P, Bernasconi P, Chiodelli R et al (2009) Risk of arrhythmia in type I myotonic dystrophy: the role of clinical and genetic variables. J Neurol Neurosurg Psychiatry 80:790–793

    Article  CAS  PubMed  Google Scholar 

  15. Petri H, Witting N, Ersbøll MK et al (2014) High prevalence of cardiac involvement in patients with myotonic dystrophy type 1: a cross-sectional study. Int J Cardiol 174:31–36

    Article  PubMed  Google Scholar 

  16. Rakocevic Stojanovic V, Peric S, Paunic T et al (2013) Cardiologic predictors of sudden death in patients with myotonic dystrophy type 1. J Clin Neurosci 20:1002–1006

    Article  PubMed  Google Scholar 

  17. Groh JW, Groh RM, Shen C et al (2011) Survival and CTG repeat expansion in adults with myotonic dystrophy type 1. Muscle Nerve 43:648–651

    Article  CAS  PubMed  Google Scholar 

  18. Brembilla-Perrot B, Schwartz J, Huttin O et al (2014) Atrial flutter or fibrillation is the most frequent and life-threatening arrhythmia in myotonic dystrophy. Pacing Clin Electrophysiol 37:329–335

    Article  PubMed  Google Scholar 

  19. Wahbi K, Sebag FA, Lellouche N et al (2016) Atrial flutter in myotonic dystrophy type 1: patient characteristics and clinical outcome. Neuromuscul Disord 26:227–233

    Article  PubMed  Google Scholar 

  20. Lund M, Diaz LJ, Ranthe MF et al (2014) Cardiac involvement in myotonic dystrophy: a nationwide cohort study. Eur Heart J 35:2158–2164

    Article  PubMed  Google Scholar 

  21. Nazarian S, Wagner RK, Caffo SB, Tomaselli FG (2011) Clinical predictors of conduction disease progression in type i myotonic muscular dystrophy. Pacing Clin Electrophysiol 34:171–176

    Article  PubMed  Google Scholar 

  22. Breton R, Mathieu J (2009) Usefulness of clinical and electrocardiographic data for predicting adverse cardiac events in patients with myotonic dystrophy. Can J Cardiol 25:e23–e27

    Article  PubMed  PubMed Central  Google Scholar 

  23. Friberg J, Scharling H, Gadsboll N, Jensen GB (2003) Sex-specific increase in the prevalence of atrial fibrillation (The Copenhagen City Heart Study). Am J Cardiol 92:1419–1423

    Article  PubMed  Google Scholar 

  24. Minghetti L, Greco A, Zanardo V, Suppiej A (2013) Early-life sex-dependent vulnerability to oxidative stress: the natural twining model. J Mater Fetal Neonatal Med 26(3):259–262

    Article  CAS  Google Scholar 

  25. Thornton CA, Johnson K, Moxley RTIII (1994) Myotonic dystrophy patients have larger CTG expansions in skeletal muscle than in leukocytes. Ann Neurol 35:104–107

    Article  CAS  PubMed  Google Scholar 

  26. Martorell L, Monckton DG, Gamez J et al (1998) Progression of somatic CTG repeat length heterogeneity in the blood cells of myotonic dystrophy patients. Hum Mol Genet 7:307–312

    Article  CAS  PubMed  Google Scholar 

  27. Chong-Nguyen C, Wahbi K, Algalarrondo V et al (2017) Association between mutation size and cardiac involvement in myotonic dystrophy type 1: an analysis of the DM1-Heart Registry. Circ Cardiovasc Gen. https://doi.org/10.1161/circgenetics.116.001526

    Google Scholar 

  28. Antonini G, Giubilei F, Mammarella A et al (2000) Natural history of cardiac involvement in myotonic dystrophy: correlation with CTG repeats. Neurology 55:1207–1209

    Article  CAS  PubMed  Google Scholar 

  29. Jordan T, Gladman TJ, Mandal M, Srinivasan V, Mani S, Mahadevan SM (2013) Age of onset of RNA toxicity influences phenotypic severity: evidence from an inducible mouse model of myotonic dystrophy (DM1). PLoS One 8(9):e72907

    Article  Google Scholar 

  30. Steinhaus AD, Vittinghoff E, Moffatt E, Hart PA, Ursell P, Tseng HZ (2012) Characteristics of sudden arrhythmic death in a diverse, urban community. Am Heart J 163:125–131. https://doi.org/10.1016/j.ahj.2011.09.016

    Article  PubMed  PubMed Central  Google Scholar 

  31. Wood KA, Drew BJ, Scheinman MM (1997) Frequency of disabling symptoms in supraventricular tachycardia. Am J Cardiol 79:145–149

    Article  CAS  PubMed  Google Scholar 

  32. Lazarus A, Varin J, Babuty D, Anselme F, Coste J, Duboc D (2002) Long-term follow-up of arrhythmias in patients with myotonic dystrophy treated by pacing: a multicenter diagnostic pacemaker study. J Am Coll Cardiol 40(9):1645–1652

    Article  PubMed  Google Scholar 

  33. Di Leo R, Rodolico C, De Gregorio C et al (2004) Cardiovascular autonomic control in myotonic dystrophy type 1: a correlation study with clinical and genetic data. Neuromuscul Disord 14:136–141

    Article  PubMed  Google Scholar 

  34. Magrì D, Piccirillo G, Bucci E et al (2012) Increased temporal dispersion of myocardial repolarization in myotonic dystrophy type 1: beyond the cardiac conduction system. Int J Cardiol 156:259–265

    Article  PubMed  Google Scholar 

  35. Cheng S, Keyes JM, Larson GM et al (2009) Long-term outcomes in individuals with prolonged PR interval or first-degree atrioventricular block. JAMA 301:2571–2577

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giovanni Antonini.

Ethics declarations

Conflicts of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Ethical standard

This study has been approved by our Institution’s Ethics Committee and has, therefore, been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 93 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bucci, E., Testa, M., Licchelli, L. et al. A 34-year longitudinal study on long-term cardiac outcomes in DM1 patients with normal ECG at baseline at an Italian clinical centre. J Neurol 265, 885–895 (2018). https://doi.org/10.1007/s00415-018-8773-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00415-018-8773-3

Keywords

Navigation