Coronary computed tomography angiography-based coronary risk stratification in subjects presenting with no or

Shinichiro Fujimoto1, Takeshi Kondo, Takahide Kodama

  • 1Department of Cardiology, Takase Clinic, 885-2 Minami-orui, Takasaki 370-0036, Japan. s-fujimo@tj8.so-net.ne.jp

Insights

Coronary CTA identifies high-risk plaque in asymptomatic patients with intermediate or higher risk. Male sex, diabetes mellitus, and smoking predict vulnerable plaque, aiding risk re-stratification.

Area of Science:

  • Cardiology
  • Radiology
  • Preventive Medicine

Background:

  • Coronary computed tomography angiography (CTA) can identify high-risk plaque features like positive vessel remodeling and low-attenuation plaque (CT-HRP).
  • CT-HRP is associated with an increased risk of acute coronary syndromes.
  • The study aimed to evaluate coronary CTA's utility in re-stratifying risk for patients with asymptomatic or atypical chest symptoms.

Purpose of the Study:

  • To assess the role of coronary CTA in refining cardiovascular risk assessment.
  • To identify predictors of CT-HRP in patients with intermediate to high pre-test risk.
  • To determine if CTA findings add value beyond traditional risk scores.

Main Methods:

  • 1,139 asymptomatic or atypical chest symptom patients underwent coronary CTA and Agatston scoring.
  • Logistic regression analysis identified predictors of CT-HRP.
  • Patients were stratified by Framingham Risk Scores (FRS).

Main Results:

  • CT-HRP was found in 6.3% of subjects.
  • Prevalence of CT-HRP increased with FRS: 0% (low), 4.3% (intermediate), 15.5% (high).
  • Independent predictors of CT-HRP in intermediate/high-risk groups were male sex, diabetes mellitus (DM), and current smoking.

Conclusions:

  • Coronary CTA is valuable for risk re-stratification in asymptomatic or atypical chest pain patients with intermediate or higher risk.
  • Male sex, DM, and smoking are independent predictors of vulnerable plaque in this population.
  • CTA findings can enhance traditional risk assessment tools like FRS.
Abstract

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