Adding coronary computed tomography angiography to invasive coronary angiography improves prediction of cardiac

Hideki Kawai1, Sadako Motoyama, Masayoshi Sarai

  • 1Department of Cardiology, Fujita Health University.

Insights

Computed tomography angiography (CTA) plaque characteristics, specifically high-risk plaque (HRP), significantly improve cardiac event prediction in patients undergoing invasive coronary angiography (ICA). This enhances risk stratification for better patient outcomes.

Area of Science:

  • Cardiovascular Imaging
  • Interventional Cardiology

Background:

  • The prognostic value of computed tomography angiography (CTA) plaque characteristics in patients undergoing invasive coronary angiography (ICA) remains underexplored.
  • Current risk stratification relies heavily on luminal diameter narrowing, potentially missing crucial plaque information.

Purpose of the Study:

  • To establish the additive value of CTA-derived plaque characteristics beyond traditional stenosis assessment in predicting cardiac events.
  • To determine if high-risk plaque (HRP) on CTA improves risk stratification in patients undergoing ICA.

Main Methods:

  • A cohort of 676 patients undergoing both ICA and CTA within three months was analyzed.
  • Coronary artery segments were assessed for luminal diameter narrowing (ICA) and the presence of HRP (CTA).
  • Cardiac events (cardiac death, ACS, revascularization) were tracked for at least three months post-ICA.

Main Results:

  • Segments with >25% luminal narrowing showed a higher incidence of coronary events compared to those without (2.94% vs. 0.31%).
  • Segments with HRP demonstrated a significantly higher event rate than those without (12.6% vs. 0.46%).
  • Both >25% residual luminal narrowing and HRP were independent predictors of cardiac events, with HRP significantly improving predictive models.

Conclusions:

  • CTA-derived coronary plaque assessment, particularly HRP detection, enhances the prediction of cardiac events in patients undergoing ICA.
  • Integrating CTA plaque characteristics into risk models offers a more comprehensive approach to cardiovascular risk stratification.
Abstract

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