Will imaging assist in the selection of patients with heart failure for an ICD?

Myron C Gerson1, Mouhamad Abdallah, James N Muth

  • 1Division of Cardiovascular Diseases, University of Cincinnati College of Medicine, and E. L. Saenger Radioisotope Laboratory, University Hospital of Cincinnati, Cincinnati, Ohio 45267-0542, USA. myron.gerson@uc.edu

Insights

Cardiac imaging can improve selection for implantable cardioverter-defibrillators (ICDs) by identifying myocardial scar or ischemia. This helps target patients at high risk for sudden cardiac death, optimizing ICD therapy effectiveness.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Electrophysiology

Background:

  • Sudden cardiac death is a leading cause of mortality.
  • Reduced left ventricular ejection fraction (LVEF) identifies high-risk patients for implantable cardioverter-defibrillators (ICDs).
  • Current LVEF criteria for ICDs have limitations in identifying all patients who benefit or preventing unnecessary therapy.

Purpose of the Study:

  • To review the role of cardiac imaging in improving patient selection for ICD implantation.
  • To explore how imaging can identify substrates and triggers for ventricular arrhythmias.
  • To assess the potential of combining imaging with electrophysiology for better ICD candidate selection.

Main Methods:

  • Review of existing literature on cardiac imaging modalities.
  • Analysis of imaging's ability to detect myocardial scar, ischemia, and sympathetic nervous system activity.
  • Discussion of the integration of imaging findings with clinical heart failure status and electrophysiologic data.

Main Results:

  • Myocardial scar and unrevascularized ischemia are substrates for fatal ventricular arrhythmias.
  • Clinical heart failure exacerbates the risk of ventricular arrhythmias.
  • Sympathetic nervous system activity, particularly perfusion-innervation mismatch, acts as a trigger for arrhythmic events.

Conclusions:

  • Cardiac imaging offers valuable insights into the pathophysiology of sudden cardiac death.
  • Integrating imaging with electrophysiologic data can enhance the accuracy of ICD selection in heart failure patients.
  • Improved patient selection may lead to more effective ICD therapy and reduced sudden cardiac death.

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