Sudden Cardiac Death Prevention in Patients with Ischemic Heart Disease-Beyond the Ejection Fraction

Area of Science:

• Cardiology
• Biomedical Engineering

Background:

• Sudden cardiac death (SCD) in ischemic heart disease (IHD) is a major cause of mortality.
• Current risk prediction relies heavily on left ventricular ejection fraction (EF), which is often inadequate.
• Many SCD victims and patients receiving implantable cardioverter-defibrillators based on EF do not benefit from this metric.

Purpose of the Study:

• To evaluate alternative parameters for improved prediction of SCD risk in IHD patients.
• To explore novel diagnostic modalities beyond EF for identifying individuals at high risk of SCD.

Main Methods:

• Review of existing literature on ECG parameters, Periodic Repolarization Dynamics, serum biomarkers (pro-B type natriuretic peptides, sST2), echocardiographic measures (global longitudinal strain, speckle tracking, relative wall thickness), programmed ventricular stimulation, and cardiac magnetic resonance.
• Analysis of the predictive capabilities of these diverse parameters for SCD.

Main Results:

• Elevated serum biomarkers (pro-BNP, sST2) are associated with increased SCD risk.
• Echocardiographic parameters like global longitudinal strain and relative wall thickness show predictive value.
• ECG abnormalities and Periodic Repolarization Dynamics are linked to higher SCD incidence.

Conclusions:

• Left ventricular ejection fraction (EF) is an imperfect predictor of SCD.
• Integrating multiple parameters, including ECG, biomarkers, and advanced imaging, can create a more accurate risk prediction model.
• Further investigation into modalities like programmed ventricular stimulation and cardiac MRI is warranted for enhanced SCD risk stratification.