[Sudden Cardiac Death in Patients With Ischemic Heart Disease: From Mechanisms to Clinical Practice]

E Z Golukhova1, O I Gromova1, N I Bulaeva1

  • 1Federal State Budgetary Institution, "A.N. Bakulev Science Center of Cardiovascular Surgery" of the RF Ministry of Health Care.

Kardiologiia
|February 22, 2018
PubMed

Insights

Sudden cardiac death (SCD) risk increases after myocardial infarction (MI). This review explores electrophysiological changes and new predictors beyond ejection fraction for preventing fatal arrhythmias in ischemic heart disease (IHD) patients.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Cardiac Surgery

Background:

  • Ischemic heart disease (IHD) and acute coronary syndrome are leading causes of sudden cardiac death (SCD).
  • Patients with myocardial infarction (MI) face a significantly higher risk of SCD compared to the general population.
  • Current primary prevention strategies for SCD often rely on left ventricular ejection fraction (LVEF), but this single metric has limitations.

Purpose of the Study:

  • To review electrophysiological alterations during acute myocardial ischemia.
  • To examine mechanisms of myocardial electromechanical remodeling in the post-MI period.
  • To identify and analyze modern additional predictors of fatal arrhythmias beyond LVEF.

Main Methods:

  • Literature review focusing on electrophysiological changes during ischemia and post-MI remodeling.
  • Analysis of current data on arrhythmia substrates and triggers.
  • Evaluation of contemporary predictors for fatal arrhythmias in clinical practice.

Main Results:

  • Acute myocardial ischemia induces significant electrophysiological changes.
  • Myocardial remodeling in the remote period after MI contributes to arrhythmogenesis.
  • Reduced LVEF is a key indicator, but additional predictors are crucial for comprehensive risk assessment.

Conclusions:

  • Relying solely on LVEF for SCD primary prevention is insufficient.
  • Identifying novel predictors of fatal arrhythmias is essential for improving patient outcomes.
  • Further research into these predictors holds significant clinical and social importance.

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