Late-Gadolinium Enhancement Interface Area and Electrophysiological Simulations Predict Arrhythmic Events in Patients With Nonischemic Dilated Cardiomyopathy

Gabriel Balaban, Brian P. Halliday, Bradley Porter, Wenjia Bai, Ståle Nygåard, Ruth Owen, Suzan Hatipoglu, Nuno Dias Ferreira, Cemil Izgi, Upasana Tayal, Ben Corden, James Ware, Dudley J. Pennell, Daniel Rueckert, Gernot Plank, Christopher A. Rinaldi, Sanjay K. Prasad, Martin J. Bishop*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
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Abstract

Objectives

This study sought to investigate whether shape-based late gadolinium enhancement (LGE) metrics and simulations of re-entrant electrical activity are associated with arrhythmic events in patients with nonischemic dilated cardiomyopathy (NIDCM).

Background

The presence of LGE predicts life-threatening ventricular arrhythmias in NIDCM; however, risk stratification remains imprecise. LGE shape and simulations of electrical activity may be able to provide additional prognostic information.

Methods

Cardiac magnetic resonance (CMR)-LGE shape metrics were computed for a cohort of 156 patients with NIDCM and visible LGE and tested retrospectively for an association with an arrhythmic composite endpoint of sudden cardiac death and ventricular tachycardia. Computational models were created from images and used in conjunction with simulated stimulation protocols to assess the potential for re-entry induction in each patient’s scar morphology. A mechanistic analysis of the simulations was carried out to explain the associations.

Results

During a median follow-up of 1,611 (interquartile range: 881 to 2,341) days, 16 patients (10.3%) met the primary endpoint. In an inverse probability weighted Cox regression, the LGE–myocardial interface area (hazard ratio [HR]: 1.75; 95% confidence interval [CI]: 1.24 to 2.47; p = 0.001), number of simulated re-entries (HR: 1.40; 95% CI: 1.23 to 1.59; p < 0.01) and LGE volume (HR: 1.44; 95% CI: 1.07 to 1.94; p = 0.02) were associated with arrhythmic events. Computational modeling revealed repolarization heterogeneity and rate-dependent block of electrical wavefronts at the LGE–myocardial interface as putative arrhythmogenic mechanisms directly related to the LGE interface area.

Conclusions

The area of interface between scar and surviving myocardium, as well as simulated re-entrant activity, are associated with an elevated risk of major arrhythmic events in patients with NIDCM and LGE and represent novel risk predictors.

Original languageEnglish
JournalJACC: Clinical Electrophysiology
Early online date29 Oct 2020
DOIs
Publication statusE-pub ahead of print - 29 Oct 2020

Keywords

  • arrhythmic risk
  • computational modeling
  • dilated cardiomyopathy
  • fibrosis
  • late gadolinium enhancement

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