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Predictive Value of Age-and Sex-Specific Nomograms of Global Plaque Burden on Coronary Computed Tomography Angiography for Major Cardiac Events

  • Christopher Naoum
  • , Daniel S. Berman
  • , Amir Ahmadi
  • , Philipp Blanke
  • , Heidi Gransar
  • , Jagat Narula
  • , Leslee J. Shaw
  • , Leonard Kritharides
  • , Stephan Achenbach
  • , Mouaz H. Al-Mallah
  • , Daniele Andreini
  • , Matthew J. Budoff
  • , Filippo Cademartiri
  • , Tracy Q. Callister
  • , Hyuk Jae Chang
  • , Kavitha Chinnaiyan
  • , Benjamin Chow
  • , Ricardo C. Cury
  • , Augustin DeLago
  • , Allison Dunning
  • Gudrun Feuchtner, Martin Hadamitzky, Joerg Hausleiter, Philipp A. Kaufmann, Yong Jin Kim, Erica Maffei, Hugo Marquez, Gianluca Pontone, Gilbert Raff, Ronen Rubinshtein, Todd C. Villines, James Min, Jonathon Leipsic
  • University of British Columbia
  • Cedars-Sinai Medical Center
  • Mount Sinai Hospital and University Health Network
  • Emory University School of Medicine
  • University of Sydney
  • Friedrich-Alexander Universitat Erlangen-Nurnberg (FAU)
  • Henry Ford Hospital
  • University of Milan
  • Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center
  • Giovanni XXIII Hospital
  • Erasmus University Medical Center
  • Tennessee Heart and Vascular Institute
  • Severance Cardiovascular Hospital
  • William Beaumont Hospital
  • University of Ottawa
  • Baptist Neuroscience Institute
  • Capitol Cardiology Associates
  • Duke Clinical Research Institute
  • Medizinische Universität Innsbruck
  • Technical University of Munich
  • University Hospital Zurich
  • Seoul National University Hospital
  • Centro Hospitalar Lisboa Central
  • Technion - Israel Institute of Technology
  • Walter Reed Medical Center
  • New York-Presbyterian Hospital

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Background-Age-adjusted coronary artery disease (CAD) burden identified on coronary computed tomography angiography predicts major adverse cardiovascular event (MACE) risk; however, it seldom contributes to clinical decision making because of a lack of nomographic data. We aimed to develop clinically pragmatic age-and sex-specific nomograms of CAD burden using coronary computed tomography angiography and to validate their prognostic use. Methods and Results-Patients prospectively enrolled in phase I of the CONFIRM registry (Coronary CT Angiography Evaluation for Clinical Outcomes) were included (derivation cohort: n=21,132; 46% female) to develop CAD nomograms based on age-sex percentiles of segment involvement score (SIS) at each year of life (40-79 years). The relationship between SIS age-sex percentiles (SIS%) and MACE (all-cause death, myocardial infarction, unstable angina, and late revascularization) was tested in a nonoverlapping validation cohort (phase II, CONFIRM registry; n=3030, 44% female) by stratifying patients into 3 SIS% groups (≤50th, 51-75th, and >75th) and comparing annualized MACE rates and time to MACE using multivariable Cox proportional hazards models adjusting for Framingham risk and chest pain typicality. Age-sex percentiles were well fitted to second-order polynomial curves (men: R2=0.86±0.12; women: R2=0.86±0.14). Using the nomograms, there were 1576, 965, and 489 patients, respectively, in the ≤50th, 51-75th, and >75th SIS% groups. Annualized event rates were higher among patients with greater CAD burden (2.1% [95% confidence interval: 1.7%-2.7%], 3.9% [95% confidence interval: 3.0%-5.1%], and 7.2% [95% confidence interval: 5.4%-9.6%] in ≤50th, 51-75th, and >75th SIS% groups, respectively; P<0.001). Adjusted MACE risk was significantly increased among patients in SIS% groups above the median compared with patients below the median (hazard ratio [95% confidence interval]: 1.9 [1.3-2.8] for 51-75th SIS% group and 3.4 [2.3-5.0] for >75th SIS% group; P<0.01 for both). Conclusions-We have developed clinically pragmatic age-and sex-specific nomograms of CAD prevalence using coronary computed tomography angiography findings. Global plaque burden measured using SIS% is predictive of cardiac events independent of traditional risk assessment.

Original languageEnglish
Article numbere004896
JournalCirculation: Cardiovascular Imaging
Volume10
Issue number3
DOIs
StatePublished - 1 Mar 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Computed tomography angiography
  • Coronary angiography
  • Coronary artery disease
  • Epidemiology
  • Nomograms

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