Prognostic value of late enhancement in cardiac magnetic resonance in patients with dilated cardiomyopathy: a meta-analysis

  • Francesco Secchi
  • Marcello Petrini
  • Paola M Cannao
  • Marco Alì
  • Giovanni Di Leo
  • Massimo Lombardi
  • Francesco Sardanelli
Poster presentation
  • 266 Downloads

Keywords

Public Health Confidence Interval Clinical Trial Clinical Outcome Cardiomyopathy 

Background

To systematically review the prognostic value of late gadolinium enhancement (LGE) at cardiac magnetic resonance (CMR) in patients with dilated cardiomyopathy (DCM).

Methods

A literature search was performed on Medline and Embase for original articles estimating the LGE prognostic value in patients with DCM. Original articles had to assess mortality for cardiac and non-cardiac causes, sudden cardiac death, sudden death avoided, and hospitalization for cardiac failure. Heterogeneity (I2) was evaluated using the Cochrane Q statistics: P-value <0.100 were considered significant. Pooled odd ratio (OR) and 95% confidence interval (CI: 95%) were calculated using Comprehensive Meta-Analysis.

Results

Out of 691 articles initially retrieved, 6 prospective clinical trials were selected for a total of 1,017 patients. All analyzed studies were performed using a 1.5-T MR unit. LGE was positively correlated with all considered clinical outcomes. Pooled mortality for all causes showed I2=33% p = 0.202) and OR=2.6 (95%CI 1.7-4.0; p<0.001); hospitalization for cardiac failure showed I2=24% (p=0.257) and OR=2.7 (95%CI 1.8-4.1; p<0.001); sudden cardiac death showed I2=0% (p=0.895) and OR=3.2 (95%CI 1.6-6.3; p=0.001); death for cardiac causes showed I2=0% (p=0.782) and OR=3.5 (95%CI 2.2-5.7; p<0.001); sudden death avoided showed I2=0% (p=0.815) and OR=6.3 (95%CI 3.4-11.6; p<0.001).

Conclusions

LGE at CMR in patients with CMD is closely related to a more negative prognosis if compare to patients without LGE.

Copyright information

© Secchi et al. 2016

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Francesco Secchi
    • 1
  • Marcello Petrini
    • 1
  • Paola M Cannao
    • 1
  • Marco Alì
    • 1
  • Giovanni Di Leo
    • 1
  • Massimo Lombardi
    • 1
  • Francesco Sardanelli
    • 1
  1. 1.RadiologyIRCCS Policlinico San DonatoMilanItaly

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