The Influence of Sex, Age, and Race on Coronary Artery Disease: A Narrative Review

Célia C Lima Dos Santos1, Arshveer S Matharoo2, Emilio Pinzón Cueva3

  • 1Cardiology, Eberhard Karl University of Tübingen, Tübingen, DEU.

Cureus
|November 29, 2023
PubMed

Insights

Coronary artery disease (CAD) varies significantly by age, sex, and race, impacting symptoms and prognosis. Understanding these differences is key to personalized treatment and better outcomes for diverse patient groups.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Cardiovascular disease is a leading global cause of mortality.
  • Coronary artery disease (CAD) involves reduced blood flow to the heart muscle.
  • CAD has multifactorial etiology influenced by modifiable and non-modifiable risk factors.

Purpose of the Study:

  • To analyze variations in CAD presentation, symptoms, and prognosis based on biological sex, age, race, and ethnicity.
  • To compare CAD characteristics across different socio-demographic groups.
  • To identify disparities in CAD that may affect patient outcomes.

Main Methods:

  • A narrative review of 74 articles selected from PubMed.
  • Inclusion criteria focused on studies of patients with CAD across various severities and treatments.
  • Article quality was assessed using the Scale for the Assessment of Non-systematic Review Articles (SANRA).

Main Results:

  • CAD incidence increases with age; individuals over 75 are more prone to multi-vessel disease.
  • South Asians exhibit the highest CAD rate (24%), while White populations have the lowest (8%).
  • Prevalence varies by race: White (3.2%), Hispanic (5%), Black women (5.2%), Black men (5.7%).
  • Younger Black women report more chest pain; men typically present with chest pain, while women often have atypical symptoms.
  • Smoking and alcoholism are more prevalent in young men with CAD.
  • Elderly, female, minority, and Black patients face higher CAD mortality rates.

Conclusions:

  • CAD presentation, risk factors, and outcomes differ significantly across demographic groups.
  • Tailored diagnostic and treatment strategies considering socio-demographic factors are crucial for improving patient outcomes.
  • Addressing disparities in CAD diagnosis and treatment can lead to earlier detection and more personalized care.

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