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Long-term prognostic impact of CT-Leaman score in patients with non-obstructive CAD: Results from the COronary CT Angiography EvaluatioN For Clinical Outcomes InteRnational Multicenter (CONFIRM) study

Authors
 Daniele Andreini  ;  Gianluca Pontone  ;  Saima Mushtaq  ;  Heidi Gransar  ;  Edoardo Conte  ;  Antonio L. Bartorelli  ;  Mauro Pepi  ;  Maksymilian P. Opolski  ;  Bríain ó Hartaigh  ;  Daniel S. Berman  ;  Matthew J. Budoff  ;  Stephan Achenbach  ;  Mouaz Al-Mallah  ;  Filippo Cademartiri  ;  Tracy Q. Callister  ;  Hyuk-Jae Chang  ;  Kavitha Chinnaiyan  ;  Benjamin J.W. Chow  ;  Ricardo Cury  ;  Augustin Delago  ;  Martin Hadamitzky  ;  Joerg Hausleiter  ;  Gudrun Feuchtner  ;  Yong-Jin Kim  ;  Philipp A. Kaufmann  ;  Jonathon Leipsic  ;  Fay Y. Lin  ;  Erica Maffei  ;  Gilbert Raff  ;  Leslee J. Shaw  ;  Todd C. Villines  ;  Allison Dunning  ;  Hugo Marques  ;  Ronen Rubinshtein  ;  Niree Hindoyan  ;  Millie Gomez  ;  James K Min 
Citation
 INTERNATIONAL JOURNAL OF CARDIOLOGY, Vol.231 : 18-25, 2017 
Journal Title
INTERNATIONAL JOURNAL OF CARDIOLOGY
ISSN
 0167-5273 
Issue Date
2017
MeSH
Aged ; Cause of Death/trends ; Computed Tomography Angiography/methods* ; Coronary Angiography/methods* ; Coronary Artery Disease/diagnosis* ; Coronary Artery Disease/mortality ; Coronary Vessels/diagnostic imaging* ; Female ; Follow-Up Studies ; Global Health ; Humans ; Male ; Predictive Value of Tests ; Prognosis ; Prospective Studies ; Registries* ; Risk Assessment/methods* ; Risk Factors ; Time Factors
Keywords
CT-adapted Leaman score ; Coronary CT angiography ; Non-obstructive CAD ; Patients reclassification ; Prognosis
Abstract
BACKGROUND: Non-obstructive coronary artery disease (CAD) identified by coronary computed tomography angiography (CCTA) demonstrated prognostic value. CT-adapted Leaman score (CT-LeSc) showed to improve the prognostic stratification. Aim of the study was to evaluate the capability of CT-LeSc to assess long-term prognosis of patients with non-obstructive (CAD).

METHODS: From 17 centers, we enrolled 2402 patients without prior CAD history who underwent CCTA that showed non-obstructive CAD and provided complete information on plaque composition. Patients were divided into a group without CAD and a group with non-obstructive CAD (<50% stenosis). Segment-involvement score (SIS) and CT-LeSc were calculated. Outcomes were non-fatal myocardial infarction (MI) and the combined end-point of MI and all-cause mortality.

RESULTS: Patient mean age was 56±12years. At follow-up (mean 59.8±13.9months), 183 events occurred (53 MI, 99 all-cause deaths and 31 late revascularizations). CT-LeSc was the only multivariate predictor of MI (HRs 2.84 and 2.98 in two models with Framingham and risk factors, respectively) and of MI plus all-cause mortality (HR 2.48 and 1.94 in two models with Framingham and risk factors, respectively). This was confirmed by a net reclassification analysis confirming that the CT-LeSc was able to correctly reclassify a significant proportion of patients (cNRI 0.28 and 0.23 for MI and MI plus all-cause mortality, respectively) vs. baseline model, whereas SIS did not.

CONCLUSION: CT-LeSc is an independent predictor of major acute cardiac events, improving prognostic stratification of patients with non-obstructive CAD.
Full Text
http://www.sciencedirect.com/science/article/pii/S0167527316321167
DOI
10.1016/j.ijcard.2016.12.137
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Chang, Hyuk-Jae(장혁재) ORCID logo https://orcid.org/0000-0002-6139-7545
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/154648
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