The Coronary Artery Disease–Reporting and Data System (CAD-RADS): Prognostic and Clinical Implications Associated With Standardized Coronary Computed Tomography Angiography Reporting

Joe X. Xie, Ricardo C. Cury, Jonathon Leipsic, Matthew T. Crim, Daniel S. Berman, Heidi Gransar, Matthew J. Budoff, Stephan Achenbach, Bríain Ó Hartaigh, Tracy Q. Callister, Hugo Marques, Ronen Rubinshtein, Mouaz H. Al-Mallah, Daniele Andreini, Gianluca Pontone, Filippo Cademartiri, Erica Maffei, Kavitha Chinnaiyan, Gilbert Raff, Martin HadamitzkyJoerg Hausleiter, Gudrun Feuchtner, Allison Dunning, Augustin DeLago, Yong Jin Kim, Philipp A. Kaufmann, Todd C. Villines, Benjamin J.W. Chow, Niree Hindoyan, Millie Gomez, Fay Y. Lin, Erica Jones, James K. Min, Leslee J. Shaw

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

Abstract

Objectives This study sought to assess clinical outcomes associated with the novel Coronary Artery Disease–Reporting and Data System (CAD-RADS) scores used to standardize coronary computed tomography angiography (CTA) reporting and their potential utility in guiding post-coronary CTA care. Background Clinical decision support is a major focus of health care policies aimed at improving guideline-directed care. Recently, CAD-RADS was developed to standardize coronary CTA reporting and includes clinical recommendations to facilitate patient management after coronary CTA. Methods In the multinational CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) registry, 5,039 patients without known coronary artery disease (CAD) underwent coronary CTA and were stratified by CAD-RADS scores, which rank CAD stenosis severity as 0 (0%), 1 (1% to 24%), 2 (25% to 49%), 3 (50% to 69%), 4A (70% to 99% in 1 to 2 vessels), 4B (70% to 99% in 3 vessels or ≥50% left main), or 5 (100%). Kaplan-Meier and multivariable Cox models were used to estimate all-cause mortality or myocardial infarction (MI). Receiver-operating characteristic (ROC) curves were used to compare CAD-RADS to the Duke CAD Index and traditional CAD classification. Referrals to invasive coronary angiography (ICA) after coronary CTA were also assessed. Results Cumulative 5-year event-free survival ranged from 95.2% to 69.3% for CAD-RADS 0 to 5 (p < 0.0001). Higher scores were associated with elevations in event risk (hazard ratio: 2.46 to 6.09; p < 0.0001). The ROC curve for prediction of death or MI was 0.7052 for CAD-RADS, which was noninferior to the Duke Index (0.7073; p = 0.893) and traditional CAD classification (0.7095; p = 0.783). ICA rates were 13% for CAD-RADS 0 to 2, 66% for CAD-RADS 3, and 84% for CAD-RADS ≥4A. For CAD-RADS 3, 58% of all catheterizations occurred within the first 30 days of follow-up. In a patient subset with available medication data, 57% of CAD-RADS 3 patients who received 30-day ICA were either asymptomatic or not receiving antianginal therapy at baseline, whereas only 32% had angina and were receiving medical therapy. Conclusions CAD-RADS effectively identified patients at risk for adverse events. Frequent ICA use was observed among patients without severe CAD, many of whom were asymptomatic or not taking antianginal drugs. Incorporating CAD-RADS into coronary CTA reports may provide a novel opportunity to promote evidence-based care post-coronary CTA.

Original languageEnglish (US)
Pages (from-to)78-89
Number of pages12
JournalJACC: Cardiovascular Imaging
Volume11
Issue number1
DOIs
StatePublished - Jan 2018
Externally publishedYes

Keywords

  • appropriate use
  • clinical decision support
  • coronary computed tomography angiography
  • prognosis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

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