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Influence of symptom typicality for predicting MACE in patients without obstructive coronary artery disease: From the CONFIRM Registry (Coronary Computed Tomography Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry)

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Last modified
  • 05/15/2025
Type of Material
Authors
    Ji Hyun Lee, New York–Presbyterian Hospital and Weill Cornell MedicineDonghee Han, New York–Presbyterian Hospital and Weill Cornell MedicineBrian O Hartaigh, New York–Presbyterian Hospital and Weill Cornell MedicineHeidi Gransar, Myongji HospitalYao Lu, New York–Presbyterian Hospital and Weill Cornell MedicineAsim Rizvi, New York–Presbyterian Hospital and Weill Cornell MedicineMahn Won Park, New York–Presbyterian Hospital and Weill Cornell MedicineHadi Mirhedayati Roudsari, New York–Presbyterian Hospital and Weill Cornell MedicineWijnand J. Stuijfzand, New York–Presbyterian Hospital and Weill Cornell MedicineDaniel S. Berman, Cedars‐Sinai Medical CenterTracy Q. Callister, Tennessee Heart and Vascular InstituteAugustin DeLago, Capitol Cardiology AssociatesMartin Hadamitzky, German Heart CenterJoerg Hausleiter, Ludwig-Maximilians UniversityMouaz H. Al-Mallah, King Saud Bin Abdulaziz University for Health SciencesMatthew J. Budoff, Harbor UCLA Medical CenterPhillip A. Kaufmann, University Hospital ZurichGilbert Raff, William Beaumont HospitalKavitha Chinnaiyan, William Beaumont HospitalLeslee J Shaw, Emory University
Language
  • English
Date
  • 2018-05-01
Publisher
  • Wiley Open Access: Various Creative Commons Licenses
Publication Version
Copyright Statement
  • © 2018 Wiley Periodicals, Inc.
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0160-9289
Volume
  • 41
Issue
  • 5
Start Page
  • 586
End Page
  • 593
Grant/Funding Information
  • The research was also funded, in part, by a generous gift from the Dalio Institute of Cardiovascular Imaging (New York, New York); and the Michael Wolk Foundation (New York, New York)
  • Foundation for the National Institutes of Health, Grant/Award Number: R01 HL115150; Dalio Institute of Cardiovascular Imaging; Michael Wolk Foundation; The research reported in this study was funded by the National Institute of Health (Bethesda, Maryland) under grant number R01 HL115150.
Abstract
  • Our objective was to assess the prognostic value of symptom typicality in patients without obstructive coronary artery disease (CAD), determined by coronary computed tomographic angiography (CCTA). We identified 4215 patients without prior history of CAD and without obstructive CAD (<50% CCTA stenosis). CAD severity was categorized as nonobstructive (1%–49%) and none (0%). Based upon the Diamond-Forrester criteria for angina pectoris, symptom typicality was classified as asymptomatic, nonanginal, atypical, and typical. Multivariable Cox proportional hazards models were used to assess the risk of major adverse cardiac events (MACE), comprising all-cause mortality, myocardial infarction, unstable angina, and late revascularization, according to symptom typicality. Mean patient age was 57.0 ±12.0 years (54.9% male). During a median follow-up of 5.3 years (interquartile range, 4.6–5.9 years), MACE were reported in 312 (7.4%) patients. Among patients with nonobstructive CAD, there was an association between symptom typicality and MACE (P for interaction = 0.05), driven by increased risk of MACE among those with typical angina and nonobstructive CAD (hazard ratio: 1.62, 95% confidence interval: 1.06–2.48, P = 0.03). No consistent relationship was found between symptom typicality and MACE among patients without any CAD (hazard ratio: 0.73, 95% confidence interval: 0.34–1.57, P = 0.08). In the CONFIRM registry, patients who presented with concomitant typical angina and nonobstructive CAD had a higher rate of MACE than did asymptomatic patients with nonobstructive CAD. However, the presence of typical angina did not appear to portend worse prognosis in patients with no CAD.
Author Notes
  • Jessica M. Peña, MD, MPH, Dalio Institute of Cardiovascular Imaging, New York– Presbyterian Hospital and Weill Cornell Medicine, 413 East 69th Street, Suite 108, New York, NY 10021 Email: jmp2003@med.cornell.edu
Keywords
Research Categories
  • Health Sciences, Radiology
  • Health Sciences, Medicine and Surgery

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