Superior Risk Stratification With Coronary Computed Tomography Angiography Using a Comprehensive Atherosclerotic Risk Score.


Journal

JACC. Cardiovascular imaging
ISSN: 1876-7591
Titre abrégé: JACC Cardiovasc Imaging
Pays: United States
ID NLM: 101467978

Informations de publication

Date de publication:
10 2019
Historique:
received: 21 06 2018
revised: 19 09 2018
accepted: 19 10 2018
pubmed: 21 1 2019
medline: 14 7 2020
entrez: 21 1 2019
Statut: ppublish

Résumé

This study was designed to assess the prognostic value of a new comprehensive coronary computed tomography angiography (CTA) score compared with the stenosis severity component of the Coronary Artery Disease-Reporting and Data System (CAD-RADS). Current risk assessment with coronary CTA is mainly focused on maximal stenosis severity. Integration of plaque extent, location, and composition in a comprehensive model may improve risk stratification. A total of 2,134 patients with suspected but without known CAD were included. The predictive value of the comprehensive CTA score (ranging from 0 to 42 and divided into 3 groups: 0 to 5, 6 to 20, and >20) was compared with the CAD-RADS combined into 3 groups (0% to 30%, 30% to 70% and ≥70% stenosis). Its predictive performance was internally and externally validated (using the 5-year follow-up dataset of the CONFIRM [Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry], n = 1,971). The mean age of patients was 55 ± 13 years, mean follow-up 3.6 ± 2.8 years, and 130 events (myocardial infarction or death) occurred. The new, comprehensive CTA score showed strong and independent predictive value using the Cox proportional hazard analysis. A model including clinical variables plus comprehensive CTA score showed better discrimination of events compared with a model consisting of clinical variables plus CAD-RADS (0.768 vs. 0.742, p = 0.001). Also, the comprehensive CTA score correctly reclassified a significant proportion of patients compared with the CAD-RADS (net reclassification improvement 12.4%, p < 0.001). Good predictive accuracy was reproduced in the external validation cohort. The new comprehensive CTA score provides better discrimination and reclassification of events compared with the CAD-RADS score based on stenosis severity only. The score retained similar prognostic accuracy when externally validated. Anatomic risk scores can be improved with the addition of extent, location, and compositional measures of atherosclerotic plaque. (Comprehensive CTA risk score calculator is available at: http://18.224.14.19/calcApp/).

Sections du résumé

OBJECTIVES
This study was designed to assess the prognostic value of a new comprehensive coronary computed tomography angiography (CTA) score compared with the stenosis severity component of the Coronary Artery Disease-Reporting and Data System (CAD-RADS).
BACKGROUND
Current risk assessment with coronary CTA is mainly focused on maximal stenosis severity. Integration of plaque extent, location, and composition in a comprehensive model may improve risk stratification.
METHODS
A total of 2,134 patients with suspected but without known CAD were included. The predictive value of the comprehensive CTA score (ranging from 0 to 42 and divided into 3 groups: 0 to 5, 6 to 20, and >20) was compared with the CAD-RADS combined into 3 groups (0% to 30%, 30% to 70% and ≥70% stenosis). Its predictive performance was internally and externally validated (using the 5-year follow-up dataset of the CONFIRM [Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry], n = 1,971).
RESULTS
The mean age of patients was 55 ± 13 years, mean follow-up 3.6 ± 2.8 years, and 130 events (myocardial infarction or death) occurred. The new, comprehensive CTA score showed strong and independent predictive value using the Cox proportional hazard analysis. A model including clinical variables plus comprehensive CTA score showed better discrimination of events compared with a model consisting of clinical variables plus CAD-RADS (0.768 vs. 0.742, p = 0.001). Also, the comprehensive CTA score correctly reclassified a significant proportion of patients compared with the CAD-RADS (net reclassification improvement 12.4%, p < 0.001). Good predictive accuracy was reproduced in the external validation cohort.
CONCLUSIONS
The new comprehensive CTA score provides better discrimination and reclassification of events compared with the CAD-RADS score based on stenosis severity only. The score retained similar prognostic accuracy when externally validated. Anatomic risk scores can be improved with the addition of extent, location, and compositional measures of atherosclerotic plaque. (Comprehensive CTA risk score calculator is available at: http://18.224.14.19/calcApp/).

Identifiants

pubmed: 30660516
pii: S1936-878X(18)31036-2
doi: 10.1016/j.jcmg.2018.10.024
pmc: PMC6635103
mid: NIHMS1516479
pii:
doi:

Types de publication

Journal Article Multicenter Study Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1987-1997

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL115150
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Auteurs

Alexander R van Rosendael (AR)

Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands; Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, New York.

Leslee J Shaw (LJ)

Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia.

Joe X Xie (JX)

Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia.

Aukelien C Dimitriu-Leen (AC)

Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.

Jeff M Smit (JM)

Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.

Arthur J Scholte (AJ)

Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.

Jacob M van Werkhoven (JM)

Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.

Tracy Q Callister (TQ)

Tennessee Heart and Vascular Institute, Hendersonville, Tennessee.

Augustin DeLago (A)

Capitol Cardiology Associates, Albany, New York.

Daniel S Berman (DS)

Department of Imaging, Cedars Sinai Medical Center, Los Angeles, California.

Martin Hadamitzky (M)

Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany.

Jeorg Hausleiter (J)

Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany.

Mouaz H Al-Mallah (MH)

King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King AbdulAziz Cardiac Center, Ministry of National Guard, Health Affairs, Riyadh, Saudi Arabia.

Matthew J Budoff (MJ)

Department of Medicine, Harbor UCLA Medical Center, Los Angeles, California.

Philipp A Kaufmann (PA)

University Hospital, Zurich, Switzerland.

Gilbert Raff (G)

William Beaumont Hospital, Royal Oaks, Michigan.

Kavitha Chinnaiyan (K)

William Beaumont Hospital, Royal Oaks, Michigan.

Filippo Cademartiri (F)

Cardiovascular Imaging Center, IRCCS SDN, Naples, Italy.

Erica Maffei (E)

Department of Radiology, Area Vasta 1/ASUR Marche, Urbino, Italy.

Todd C Villines (TC)

Department of Medicine, Walter Reed National Military Medical Center, Bethesda.

Yong-Jin Kim (YJ)

Seoul National University Hospital, Seoul, South Korea.

Gudrun Feuchtner (G)

Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria.

Fay Y Lin (FY)

Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, New York.

Erica C Jones (EC)

Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, New York.

Gianluca Pontone (G)

Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy.

Daniele Andreini (D)

Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy.

Hugo Marques (H)

UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal.

Ronen Rubinshtein (R)

Department of Cardiology at the Lady Davis Carmel Medical Center, The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.

Stephan Achenbach (S)

Department of Medicine, University of Erlangen, Erlangen, Germany.

Allison Dunning (A)

Duke Clinical Research Institute, Durham, North Carolina.

Millie Gomez (M)

Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, New York.

Niree Hindoyan (N)

Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, New York.

Heidi Gransar (H)

Department of Imaging, Cedars Sinai Medical Center, Los Angeles, California.

Jonathon Leipsic (J)

Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada.

Jagat Narula (J)

Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York.

James K Min (JK)

Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, New York.

Jeroen J Bax (JJ)

Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: j.j.bax@lumc.nl.

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