Left Ventricular Entropy Is a Novel Predictor of Arrhythmic Events in Patients With Dilated Cardiomyopathy Receiving Defibrillators for Primary Prevention

JACC Cardiovasc Imaging. 2019 Jul;12(7 Pt 1):1177-1184. doi: 10.1016/j.jcmg.2018.07.003. Epub 2018 Aug 15.

Abstract

Objectives: The aim of this study was to assess the utility of left ventricular (LV) entropy, a novel measure of myocardial heterogeneity, for predicting cardiovascular events in patients with dilated cardiomyopathy (DCM).

Background: Current risk stratification for ventricular arrhythmia in patients with DCM is imprecise. LV entropy is a measure of myocardial heterogeneity derived from cardiac magnetic resonance imaging that assesses the probability distribution of pixel signal intensities in the LV myocardium.

Methods: A registry-based cohort of primary prevention implantable cardioverter-defibrillator patients with DCM had their LV entropy, late gadolinium enhancement (LGE) presence, and LGE mass measured on cardiac magnetic resonance imaging. Patients were followed from implantable cardioverter-defibrillator placement for arrhythmic events (appropriate implantable cardioverter-defibrillator therapy, ventricular arrhythmia, or sudden cardiac death), end-stage heart failure events (cardiac death, transplantation, or ventricular assist device placement), and all-cause mortality.

Results: One hundred thirty patients (mean age 55 years, 83% men, LV ejection fraction 29%, mean LV entropy 5.58 ± 0.72, LGE present in 57%) were followed for a median of 3.2 years. Eighteen (14.0%) experienced arrhythmic events, 17 (13.1%) experienced end-stage heart failure events, and 7 (5.4%) died. LV entropy provided substantial improvement of predictive ability when added to a model containing clinical variables and LGE mass (hazard ratio: 3.5; 95% confidence interval: 1.42 to 8.82; p = 0.007; net reclassification index = 0.345, p = 0.04). For end-stage heart failure events, LV entropy did not improve the model containing clinical variables and LGE mass (hazard ratio: 2.03; 95% confidence interval: 0.78 to 5.28; p = 0.14). Automated LV entropy measurement has excellent intraobserver (mean difference 0.04) and interobserver (mean difference 0.03) agreement.

Conclusions: Automated LV entropy measurement is a novel marker for risk stratification toward ventricular arrhythmia in patients with DCM.

Keywords: cardiomyopathy; implantable cardioverter-defibrillator; magnetic resonance imaging (MRI); sudden cardiac death.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Arrhythmias, Cardiac / diagnosis
  • Arrhythmias, Cardiac / mortality
  • Arrhythmias, Cardiac / physiopathology
  • Arrhythmias, Cardiac / prevention & control*
  • Cardiomyopathy, Dilated / diagnostic imaging
  • Cardiomyopathy, Dilated / mortality
  • Cardiomyopathy, Dilated / physiopathology
  • Cardiomyopathy, Dilated / therapy*
  • Death, Sudden, Cardiac / prevention & control
  • Defibrillators, Implantable*
  • Electric Countershock / adverse effects
  • Electric Countershock / instrumentation*
  • Electric Countershock / mortality
  • Female
  • Humans
  • Magnetic Resonance Imaging, Cine*
  • Male
  • Middle Aged
  • Observer Variation
  • Predictive Value of Tests
  • Primary Prevention / instrumentation*
  • Registries
  • Reproducibility of Results
  • Risk Factors
  • Stroke Volume*
  • Time Factors
  • Treatment Outcome
  • Ventricular Function, Left*