Long-Term Prognostic Value of Coronary Atherosclerotic Plaque Characteristics Assessed by Computerized Tomographic

Ahmet Hakan Ateş1, Hikmet Yorgun1, Uğur Canpolat1

  • 1Department of Cardiology, 37515Hacettepe University Faculty of Medicine, Ankara, Turkey.

Angiology
|October 29, 2020
PubMed

Insights

Coronary computed tomography angiography (CTA) can predict long-term cardiovascular risk. Calcified plaque and more diseased segments on CTA indicate higher mortality risk in coronary artery disease patients.

Area of Science:

  • Cardiology
  • Radiology
  • Preventive Medicine

Background:

  • Coronary artery disease (CAD) management requires accurate long-term risk stratification.
  • Noncritical stenosis in CAD patients poses a challenge for prognostic assessment.
  • Coronary computed tomography angiography (CTA) is increasingly used for CAD evaluation.

Purpose of the Study:

  • To evaluate the long-term prognostic value of coronary CTA in patients with CAD and noncritical stenosis.
  • To determine if coronary atherosclerotic plaque (CAP) morphology and extent predict cardiovascular (CV) and all-cause mortality.
  • To identify imaging markers for risk stratification in CAD patients.

Main Methods:

  • A cohort of 1138 patients with suspected CAD who underwent coronary CTA was analyzed.
  • Coronary atherosclerotic plaque (CAP) was categorized (calcified, noncalcified, mixed) in 16 coronary segments.
  • All-cause and CV mortality data were collected over a median follow-up of 141.5 months.

Main Results:

  • Calcified CAP morphology was present in 14.5% and mixed CAP in 11% of patients.
  • CV mortality occurred in 5% and all-cause mortality in 13.1% of patients.
  • Multivariable analysis identified calcified CAP morphology and extent of diseased segments as significant predictors of mortality.

Conclusions:

  • Calcified plaque morphology and a higher number of diseased segments on coronary CTA are significant predictors of long-term adverse CV outcomes.
  • Coronary CTA findings can aid in stratifying risk and guiding aggressive preventive measures in CAD patients.
  • These imaging markers may improve patient selection for closer monitoring and intervention.

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