Sudden death in ischemic heart disease: looking for new predictors: polygenic risk

Alessandro Boccanelli1, Angela Beatrice Scardovi2

  • 1Department of Cardiology, Quisisana Hospital and Clinics, Rome.

Insights

Genetic risk scores can identify individuals at higher risk for sudden death (SD) even without current guideline indications. The genome-wide polygenic score for coronary artery disease (GPSCAD) helps stratify risk in stable coronary artery disease patients.

Area of Science:

  • Cardiology
  • Genetics
  • Preventive Medicine

Background:

  • Sudden death (SD) frequently affects individuals not meeting current defibrillator implantation guidelines.
  • Polygenic inheritance, involving common genetic variations (polymorphisms), contributes to inherited risk.
  • Identifying at-risk individuals in primary prevention is crucial for effective intervention.

Purpose of the Study:

  • To assess the utility of the genome-wide polygenic score for coronary artery disease (GPSCAD) in stratifying SD risk.
  • To determine if biological markers and electrocardiogram can identify individuals at higher risk for SD.
  • To evaluate GPSCAD's role in intermediate-risk populations with stable coronary artery disease.

Main Methods:

  • The PRE-DETERMINE cohort study investigated GPSCAD in patients with stable coronary artery disease.
  • Risk stratification was performed on individuals without severe systolic dysfunction or defibrillator indication.
  • A mean follow-up of 8.0 years was conducted to assess outcomes.

Main Results:

  • Patients in the top decile of GPSCAD exhibited significantly higher absolute (8.0% vs. 4.8%) and relative (29% vs. 16%) risks of SD.
  • No association was found between the highest GPSCAD decile and other causes of death (cardiac or non-cardiac).
  • These findings suggest GPSCAD can identify a subset of patients at increased risk for SD.

Conclusions:

  • GPSCAD is a valuable tool for identifying individuals at higher risk of sudden death within a stable coronary artery disease population.
  • The data supports theoretical estimates for defibrillator efficacy and mortality reduction in high-risk patients identified by GPSCAD.
  • Further research is needed to refine the clinical application of GPSCAD in primary prevention strategies.

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