Racial differences in the burden of coronary artery calcium and carotid intima media thickness between Blacks and

S Erqou1, K E Kip, S R Mulukutla

  • 1Department of Medicine, Weill Cornell Medical College, 525 E 68th Street, Box 130, New York, NY, 10065, USA, see9003@med.cornell.edu.

Insights

Black individuals have higher carotid intima media thickness (CIMT) but lower coronary artery calcium (CAC) compared to White individuals. These racial differences in subclinical atherosclerosis warrant race-specific cardiovascular disease (CVD) risk algorithms.

Area of Science:

  • Cardiovascular Disease Research
  • Atherosclerosis Studies
  • Racial Disparities in Health

Background:

  • Understanding racial differences in subclinical atherosclerosis is crucial for developing accurate cardiovascular disease (CVD) risk prediction.
  • Carotid intima media thickness (CIMT) and coronary artery calcium (CAC) are key indicators of atherosclerosis.

Purpose of the Study:

  • To investigate racial differences in the prevalence and correlates of CIMT and CAC.
  • To inform the development of race-specific CVD risk algorithms.

Main Methods:

  • The Heart SCORE study analyzed CIMT and CAC in 792 and 776 individuals, respectively, with a significant proportion of Black participants.
  • CIMT was measured using carotid ultrasonography, and CAC was quantified by electron beam computed tomography.
  • Logistic regression models assessed cross-sectional associations between race, CIMT, and CAC.

Main Results:

  • Black individuals exhibited greater CIMT and higher odds of significant CIMT compared to White individuals.
  • Conversely, Black individuals had less CAC and lower odds of significant CAC compared to White individuals.
  • These associations remained consistent even after adjusting for traditional CVD risk factors.

Conclusions:

  • Black race is independently linked to increased CIMT but decreased CAC relative to White race.
  • Race-specific algorithms incorporating CIMT and CAC measures are recommended for improved CVD risk stratification.
Abstract

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