Cardiovascular magnetic resonance in muscular dystrophies: looking ahead

Unidades de investigação

• Laboratório Associado RISE- Rede de Investigação em Saúde

  

  Investigador

  Fernando Carlos De Landér Schmitt

• Medicina

• RISE-Health

  

  Investigador

  Fernando Carlos De Landér Schmitt

Abstract

<jats:p>Cardiac magnetic resonance (CMR) is an established tool for risk stratification in several cardiomyopathies, and its role in muscular dystrophies (MuD) looks promising. We sought to assess how CMR performs in predicting cardiac events in a real cohort of MuD patients. A prospective single-center study with the enrollment of consecutive adult MuD patients referred to cardiac screening from 2012 to 2018 with the collection of clinical and CMR data. During follow-up (FUP), major adverse cardiac events were considered a composite of device implantation, ventricular tachycardia (VT), hospitalization due to heart failure, and death. Sixty-five patients were included (mean age of 32?16, 51% female); the majority had myotonic dystrophy (34; 52.3%); most were asymptomatic (60; 92.3%) and at sinus rhythm (64; 98.5%). CMR was abnormal in 23 (43.3%) patients: left ventricle ejection fraction (LVEF) lt;55% was found in 7 patients, and late gadolinium enhancement (LGE) was present in 23 patients, mainly intra-myocardial or subepicardial (10 and 8 patients, respectively). During a median FUP of 77 months (interquartile range: 33), there were 7 deaths, 8 implanted devices, and one sustained VT. LVEFlt;55% and the presence of LGE were associated with the occurrence of all events (log rank test, p=0.002 and p=0.045, respectively). LVEFlt;55% was associated with a 6-fold higher risk of events (crude hazard ratio of 6.15; 95% confidence interval of 1.65-22.93), that remained significant after adjusting for LGE presence (adjusted hazard ratio of 4.81, 95% confidence interval of 1.07-15.9). In our cohort, CMR LVEFlt;55% and the presence of LGE were significantly associated with adverse events during follow-up, reinforcing the role of this technique on risk stratification of MuD populations.</jats:p>