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      Physiological Evaluation of Anomalous Aortic Origin of a Coronary Artery Using Computed Tomography–Derived Fractional Flow Reserve

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          Abstract

          Background

          With the emergence of coronary computed tomography (CT) angiography, anomalous aortic origin of a coronary artery (ANOCOR) is more frequently diagnosed. Fractional flow reserve derived from CT (FFRCT) is a noninvasive functional test providing anatomical and functional evaluation of the overall coronary tree. These unique features of anatomical and functional evaluation derived from CT could help for the management of patients with ANOCOR. We aimed to retrospectively evaluate the physiological and clinical impact of FFRCT analysis in the ANOCOR registry population.

          Methods and Results

          The ANOCOR registry included patients with ANOCOR detected during invasive coronary angiography or coronary CT angiography between January 2010 and January 2013, with a planned 5‐year follow‐up. We retrospectively performed FFRCT analysis in patients with coronary CT angiography of adequate quality. Follow‐up was performed with a clinical composite end point (cardiac death, myocardial infarction, and unplanned revascularization). We obtained successful FFRCT analyses and 5‐year clinical follow‐up in 54 patients (average age, 60±13 years). Thirty‐eight (70%) patients had conservative treatment, and 16 (30%) patients had coronary revascularization after coronary CT angiography. The presence of an ANOCOR course was associated with a moderate reduction of FFRCT value from 1.0 at the ostium to 0.90±0.10 downstream the ectopic course and 0.82±0.11 distally. No significant difference in FFRCT values was identified between at‐risk and not at‐risk ANOCOR. After a 5‐year follow‐up, only one unplanned percutaneous revascularization was reported.

          Conclusions

          The presence of ANOCOR was associated with a moderate hemodynamic decrease of FFRCT values and associated with a low risk of cardiovascular events after a 5‐year follow‐up in this middle‐aged population.

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          Most cited references20

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          2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes

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            2011 ACCF/AHA Guideline for Coronary Artery Bypass Graft Surgery. A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Developed in collaboration with the American Association for Thoracic Surgery, Society of Cardiovascular Anesthesiologists, and Society of Thoracic Surgeons.

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              A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension.

              The aim was to validate, update, and extend the Diamond-Forrester model for estimating the probability of obstructive coronary artery disease (CAD) in a contemporary cohort. Prospectively collected data from 14 hospitals on patients with chest pain without a history of CAD and referred for conventional coronary angiography (CCA) were used. Primary outcome was obstructive CAD, defined as ≥ 50% stenosis in one or more vessels on CCA. The validity of the Diamond-Forrester model was assessed using calibration plots, calibration-in-the-large, and recalibration in logistic regression. The model was subsequently updated and extended by revising the predictive value of age, sex, and type of chest pain. Diagnostic performance was assessed by calculating the area under the receiver operating characteristic curve (c-statistic) and reclassification was determined. We included 2260 patients, of whom 1319 had obstructive CAD on CCA. Validation demonstrated an overestimation of the CAD probability, especially in women. The updated and extended models demonstrated a c-statistic of 0.79 (95% CI 0.77-0.81) and 0.82 (95% CI 0.80-0.84), respectively. Sixteen per cent of men and 64% of women were correctly reclassified. The predicted probability of obstructive CAD ranged from 10% for 50-year-old females with non-specific chest pain to 91% for 80-year-old males with typical chest pain. Predictions varied across hospitals due to differences in disease prevalence. Our results suggest that the Diamond-Forrester model overestimates the probability of CAD especially in women. We updated the predictive effects of age, sex, type of chest pain, and hospital setting which improved model performance and we extended it to include patients of 70 years and older.
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                Author and article information

                Contributors
                julienadjedj@hotmail.com
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                17 March 2021
                06 April 2021
                : 10
                : 7 ( doiID: 10.1002/jah3.v10.7 )
                : e018593
                Affiliations
                [ 1 ] Cardiology Department Arnault Tzanck Institute Saint Laurent Du Var France
                [ 2 ] Cardiology Department Lausanne University Hospital Lausanne Switzerland
                [ 3 ] Department of Nuclear Medicine Departement medico Universitaire IMAGINA Assistance Publique Hopitaux de Paris Hopital Européen Georges Pompidou University of Paris France
                [ 4 ] Cardiology Unit Oreliance Saran France
                [ 5 ] Interventional Imaging Cardiovascular Unit Antony Private Hospital Antony France
                [ 6 ] Cardiology Department Bichat–Claude‐Bernard Hospital Assistance Publique–Hôpitaux de Paris Paris France
                [ 7 ] Radiology Department Bichat–Claude‐Bernard Hospital Assistance Publique–Hôpitaux de Paris Paris France
                [ 8 ] Radiology Department Lariboisière Hospital Assistance Publique–Hôpitaux de Paris Paris France
                [ 9 ] The Lambe Institute for Translational Medicine and Curam National University of Ireland Galway Ireland
                [ 10 ] Saolta University Healthcare Group Galway Ireland
                Author notes
                [*] [* ] Correspondence to: Julien Adjedj, MD, PhD, Cardiology Department, Institut Arnault Tzanck, Saint Laurent Du Var, France. E‐mail: julienadjedj@ 123456hotmail.com

                [*]

                A complete list of the Abnormal Coronary Origin investigators can be found in the Appendix at the end of the article.

                [†]

                Dr Adjedj and Dr Hyafil contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-0902-8347
                https://orcid.org/0000-0002-9600-0376
                https://orcid.org/0000-0002-0682-1809
                https://orcid.org/0000-0002-7267-4376
                Article
                JAH35944
                10.1161/JAHA.120.018593
                8174353
                33728970
                2e940480-7a32-4179-bcda-16754bd86eb2
                © 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 22 August 2020
                : 08 December 2020
                Page count
                Figures: 5, Tables: 2, Pages: 10, Words: 5947
                Categories
                Original Research
                Original Research
                Coronary Heart Disease
                Custom metadata
                2.0
                April 6, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.1 mode:remove_FC converted:06.04.2021

                Cardiovascular Medicine
                anomalous aortic origin of coronary arteries,coronary computed tomography angiography,fractional flow reserve,fractional flow reserve computed tomography,echocardiography

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