ESC sudden-death risk model in hypertrophic cardiomyopathy: Incremental value of quantitative contrast-enhanced CMR

Rocio Hinojar1,2, José Luis Zamorano1,2,3, Ariana Gonzalez Gómez1

  • 1Department of Cardiology, University Hospital Ramón y Cajal, Madrid, Spain.

Clinical Cardiology
|June 15, 2017
PubMed

Insights

Myocardial fibrosis, measured by late gadolinium enhancement (LGE) extension, correlates with sudden cardiac death (SCD) risk in hypertrophic cardiomyopathy (HCM). This finding aids in implantable cardioverter-defibrillator (ICD) decisions for HCM patients.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Genetics

Background:

  • Hypertrophic cardiomyopathy (HCM) is a primary cause of sudden cardiac death (SCD) in young individuals.
  • Current risk stratification methods for SCD in HCM patients are insufficient.
  • Myocardial fibrosis, indicated by late gadolinium enhancement (LGE), is a newly identified risk factor for SCD.

Purpose of the Study:

  • To investigate the relationship between the extent of myocardial fibrosis (LGE) and a novel SCD risk prediction model in HCM patients.
  • To assess the additional value of LGE in refining SCD risk stratification and guiding implantable cardioverter-defibrillator (ICD) decisions.

Main Methods:

  • Seventy-seven HCM patients underwent clinical evaluation, echocardiography, and cardiac magnetic resonance imaging.
  • Late gadolinium enhancement (LGE) extension was quantified using cardiac MRI.
  • A novel SCD risk prediction model was applied to calculate 5-year SCD risk.

Main Results:

  • A significant positive correlation was observed between LGE extension and SCD risk prediction (r = 0.7, P < 0.001).
  • Distinct LGE extents were found across low- (5% ± 6%), intermediate- (18% ± 9%), and high-risk (17% ± 4%) groups (P < 0.001).
  • Extensive LGE was present in 6% of the low-risk, 62% of the intermediate-risk, and 86% of the high-risk groups.

Conclusions:

  • LGE extension is consistent with the novel SCD risk model, effectively differentiating risk groups.
  • Quantification of LGE provides valuable supplementary information for improved SCD risk stratification in HCM.
  • LGE assessment can aid in making more informed decisions regarding ICD implantation in HCM patients.
Abstract

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