Early risk stratification for arrhythmic death in patients with ST-elevation myocardial infarction

Majid Haghjoo1, Reza Kiani, Amir Farjam Fazelifar

  • 1Department of Pacemaker and Electrophysiology, Rajaie Cardiovascular Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran. majid.haghjoo@gmail.com

Insights

Sudden cardiac death risk in ST-elevation myocardial infarction (MI) patients can be predicted. Ejection fraction (EF) below 40%, abnormal heart rate variability (HRV), and signal-averaged electrocardiography (SAECG) are key indicators.

Area of Science:

  • Cardiology
  • Clinical Medicine
  • Medical Diagnostics

Background:

  • Sudden cardiac death (SCD) is a major cause of mortality in ST-elevation myocardial infarction (MI) patients.
  • Cost-effective risk stratification is crucial for post-MI patients before considering expensive interventions like implantable cardioverter-defibrillators.

Purpose of the Study:

  • To identify reliable predictors of sudden cardiac death in patients following ST-elevation myocardial infarction.
  • To evaluate the efficacy of ejection fraction, heart rate variability, and signal-averaged electrocardiography in risk stratification.

Main Methods:

  • One hundred thirty-seven ST-elevation MI patients underwent echocardiography, Holter monitoring, and signal-averaged electrocardiography (SAECG).
  • Patients were followed for 12±3 months to assess outcomes, including sudden cardiac death.

Main Results:

  • A significant association was found between ejection fraction (EF) less than 40% and arrhythmic events (P<0.001).
  • EF<40% demonstrated 100% sensitivity and 76.95% positive predictive value for SCD.
  • Abnormal heart rate variability (HRV) and SAECG also significantly predicted sudden death (P=0.02 and P=0.003, respectively).

Conclusions:

  • Ejection fraction less than 40% is the strongest predictor of sudden cardiac death in post-MI patients.
  • Abnormal HRV and SAECG are valuable supplementary predictors for enhanced risk stratification.
Abstract

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