Coronary Artery Disease and Atherosclerotic Risk Factors in a Population-Based Study of Sudden Death

Golsa Joodi1, Joan A Maradey2, Brittany Bogle3

  • 1Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.

Insights

Sudden death risk factors are prevalent even without diagnosed coronary artery disease (CAD). Identifying these risk factors in individuals without CAD may help prevent sudden cardiac death.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Sudden death poses a significant public health challenge, with coronary artery disease (CAD) implicated in 60-80% of cases.
  • Despite declining CAD mortality, sudden death rates remain high, necessitating further investigation into underlying causes.

Purpose of the Study:

  • To determine the prevalence of CAD and its associated risk factors in adults aged 18-64 experiencing sudden death.
  • To compare these findings with a living population within the same geographical area to identify risk disparities.

Main Methods:

  • A population-based registry identified 371 sudden death cases (18-64 years) in Wake County, NC (2013-2015).
  • A control group of 4218 individuals was randomly selected from an electronic health record repository.
  • Prevalence of CAD and risk factors were analyzed across age and sex groups, comparing cases to controls.

Main Results:

  • Coronary artery disease (CAD) was present in 14.8% of sudden death cases.
  • Sudden death cases exhibited a higher prevalence of atherosclerotic risk factors and comorbidities compared to the living population, irrespective of age or CAD status.
  • Obesity was more common in younger sudden death cases, while diabetes prevalence was similar across age groups.

Conclusions:

  • While CAD is not universally present in sudden death cases, associated risk factors and comorbidities are highly prevalent.
  • Findings suggest a shift in the etiology of sudden death, emphasizing the need for risk factor management.
  • Novel imaging and biomarkers may aid in identifying high-risk individuals without diagnosed CAD, potentially preventing sudden death.
Abstract

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