Risk stratification using late gadolinium enhancement on cardiac magnetic resonance imaging in patients with hypertrophic cardiomyopathy: A systematic review and meta-analysis.

Journal Article (Journal Article;Review)

Background The role of late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (c-MRI) for predicting outcomes of patients with hypertrophic cardiomyopathy (HCM) has been debated. Methods We searched PubMed and Embase and various published bibliographies for prospective studies published in English between January 1990 and February 2019. Two investigators screened 2646 abstracts and full-text articles for inclusion and relevant outcomes. We then performed a systematic review and meta-analysis to calculate pooled odds ratios for LGE on c-MRI and a pooled sensitivity and specificity analysis. Results Our systematic review included 8 prospective studies and 3808 patients. LGE positivity was associated with higher odds of the endpoint of sudden cardiac death (SCD;OR 1.69, 95%CI 1.03-2.78), aborted SCD or appropriate implantable cardioverter- defibrillator (ICD) discharge (OR 3.27 [1.75-6.10]), SCD or aborted SCD or appropriate ICD discharge (OR 2.32 [1.56-3.43]), and all-cause mortality (OR 2.10 [CI 1.00-4.41]). The pooled sensitivity and specificity of positive LGE on c-MRI for SCD were 65% and 42%, respectively; for aborted SCD or appropriate ICD discharge, 79% and 39%; for SCD or aborted SCD or appropriate ICD discharge, 74% and 39%; and for all-cause mortality, 78% and 39%. Conclusion In patients with HCM, LGE on c-MRI is a strong predictor of arrhythmic outcomes including SCD, aborted SCD, and appropriate ICD therapy. These data support the routine use of LGE on c-MRI as a marker of SCD risk in this population.

Full Text

Duke Authors

Cited Authors

  • Kamp, NJ; Chery, G; Kosinski, AS; Desai, MY; Wazni, O; Schmidler, GS; Patel, M; Lopes, RD; Morin, DP; Al-Khatib, SM

Published Date

  • November 7, 2020

Published In

PubMed ID

  • 33171204

Electronic International Standard Serial Number (EISSN)

  • 1873-1740

Digital Object Identifier (DOI)

  • 10.1016/j.pcad.2020.11.001

Language

  • eng

Conference Location

  • United States