Evaluating atherosclerosis prevalence via coronary calcium in executives with normal LDL levels in the US: a cohort

Basem M Ratrout1, Basant E Katamesh2, Ann Vincent3

  • 1Mayo Clinic, Rochester, Minnesota, USA Ratrout.Basem@Mayo.edu.

BMJ Open
|May 16, 2025
PubMed

Insights

This study investigates coronary artery calcium (CAC) scores in patients with borderline cardiovascular risk and normal LDL-C. It explores the link between CAC and advanced glycation end products (AGEs) to improve atherosclerosis risk assessment.

Area of Science:

  • Cardiovascular Medicine
  • Biomarkers
  • Diagnostic Imaging

Background:

  • Coronary artery calcium (CAC) scans are vital for assessing coronary atherosclerosis risk, especially in hyperlipidaemia patients with uncertain treatment decisions.
  • Advanced glycation end products (AGEs) are emerging atherosclerosis markers, but their association with CAC scores is unexamined.
  • This research addresses the gap in understanding AGEs and CAC score relationships.

Purpose of the Study:

  • To evaluate abnormal CAC scores in patients with low/borderline ASCVD risk and normal LDL-C (≤100 mg/dL).
  • To explore potential associations between CAC scores and AGEs scores.
  • To enhance cardiovascular risk stratification strategies.

Main Methods:

  • Retrospective review of adult patient health records from Mayo Clinic (Sept 2023 - Mar 2024).
  • Analysis of baseline CAC scan data for patients with low/borderline 10-year ASCVD risk, not on lipid-lowering therapy, and LDL-C ≤100 mg/dL.
  • Examination of correlations between CAC and AGEs scores.

Main Results:

  • The study aims to determine the prevalence of abnormal CAC scores in the specified patient cohort.
  • It will investigate the relationship between CAC findings and AGEs scores.
  • Results will inform clinical decision-making for intermediate cardiovascular risk patients.

Conclusions:

  • This study will provide novel insights into the utility of CAC scores and AGEs in cardiovascular risk assessment.
  • Findings may refine risk stratification for patients with borderline ASCVD risk.
  • The research contributes to personalized medicine in cardiovascular disease prevention.
Abstract

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