In this issue of the journal, Vernon et al. [
[1]
] embarked on an important analysis of the BioHEART-CT study to discern the sex-based
differences in role of standard modifiable cardiovascular risk factors (hypertension,
hypercholesterolemia, diabetes mellitus, and smoking). This study makes a significant
contribution to the growing body of literature to better understand coronary artery
disease (CAD) risk factors in women in order to improve detection and early, personalized
interventions. It demonstrated a surprising finding though; smoking and diabetes mellitus,
previously thought to be associated with CAD in women, were not associated with the
presence of atherosclerotic plaque in coronary arteries. The study suggests that models
incorporating only traditional risk factors may not be sufficient to explain the CAD
burden in women. Models that incorporate other nontraditional risk factors may be
needed for atherosclerosis prediction in women.Keywords
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References
Vernon ST, Kott KA, Hansen T, Zhang KJ, Cole BR, Coffey S, Grieve SM and Figtree GA. Coronary Artery Disease Burden in Women Poorly Explained by Traditional Risk Factors: Sex Disaggregated Analyses from the BioHEART-CT Study. Atherosclerosis.
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Article info
Publication history
Published online: August 13, 2021
Accepted:
August 12,
2021
Received in revised form:
August 11,
2021
Received:
July 5,
2021
Identification
Copyright
© 2021 Elsevier B.V. All rights reserved.
