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

Hideki Kawai, Sadako Motoyama, Masayoshi Sarai, Hajime Ito, Hiroshi Takahashi, Hiroto Harigaya, Shino Kan, Junichi Ishii, Hirofumi Anno, Toyoaki Murohara, Yukio Ozaki

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


BACKGROUND: The additive value of plaque characteristics determined by computed tomography angiography (CTA) in patients undergoing invasive coronary angiography (ICA) has not been established. METHODS AND RESULTS: We studied 676 patients undergoing ICA and CTA within 3 months. The luminal diameter narrowing based on ICA and the presence of high risk plaque (HRP) based on CTA were assessed in all coronary artery segments except for those after or before scheduled treatment. We followed their cardiac events including cardiac death, acute coronary syndrome (ACS), and revascularization for de novo lesions ≥3 months after ICA. The incidence of coronary events was higher in the segments including >25% luminal narrowing than in those without (2.94% vs. 0.31%, P<0.0001), and higher in the segments containing HRP than in those without (12.6 vs. 0.46%, P<0.0001). Greater than 25% residual luminal narrowing and the presence of HRP were identified as independent predictors of cardiac events after risk adjustment for age, gender, and history of ACS (hazard ratio [HR], 3.22; 95% confidence interval [CI]: 1.29-10.76; P=0.0092, HR, 2.64; 95% CI: 1.59-4.35; P=0.0002, respectively). Adding the presence of HRP to a model including age, gender, ACS history, and >25% residual stenosis improved the prediction of cardiac events.

CONCLUSIONS: Assessment of coronary plaque characteristics on CTA improves the prediction of cardiac events in patients undergoing ICA.

Original languageEnglish
Pages (from-to)2735-2740
Number of pages6
JournalCirculation journal : official journal of the Japanese Circulation Society
Issue number11
Publication statusPublished - 2014

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine


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