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Incremental prognostic value of coronary computed tomographic angiography over coronary artery calcium score for risk prediction of major adverse cardiac events in asymptomatic diabetic individuals

Authors
 James K. Min  ;  Troy M. Labounty  ;  Millie J. Gomez  ;  Stephan Achenbach  ;  Mouaz Al-Mallah  ;  Matthew J. Budoff  ;  Filippo Cademartiri  ;  Tracy Q. Callister  ;  Hyuk-Jae Chang  ;  Victor Cheng  ;  Kavitha M. Chinnaiyan  ;  Benjamin Chow  ;  Ricardo Cury  ;  Augustin Delago  ;  Allison Dunning  ;  Gudrun Feuchtner  ;  Martin Hadamitzky  ;  Jorg Hausleiter  ;  Philipp Kaufmann  ;  Yong-Jin Kim  ;  Jonathon Leipsic  ;  Fay Y. Lin  ;  Erica Maffei  ;  Gilbert Raff  ;  Leslee J. Shaw  ;  Todd C. Villines  ;  Daniel S. Berman 
Citation
 ATHEROSCLEROSIS, Vol.232(2) : 298-304, 2014 
Journal Title
ATHEROSCLEROSIS
ISSN
 0021-9150 
Issue Date
2014
MeSH
Aged ; Calcium/metabolism* ; Constriction, Pathologic ; Coronary Angiography* ; Coronary Vessels/pathology* ; Diabetes Complications/diagnosis* ; Diabetes Complications/pathology ; Female ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; Myocardial Infarction/diagnosis* ; Myocardial Infarction/pathology ; Myocardial Revascularization ; Predictive Value of Tests ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; Registries ; Risk Factors ; Surveys and Questionnaires ; Tomography, X-Ray Computed*
Keywords
Coronary CT angiography ; Coronary artery calcium score ; Coronary artery disease ; Major adverse cardiac events
Abstract
BACKGROUND:
Coronary artery disease (CAD) diagnosis by coronary computed tomographic angiography (CCTA) is useful for identification of symptomatic diabetic individuals at heightened risk for death. Whether CCTA-detected CAD enables improved risk assessment of asymptomatic diabetic individuals beyond clinical risk factors and coronary artery calcium scoring (CACS) remains unexplored.
METHODS:
From a prospective 12-center international registry of 27,125 individuals undergoing CCTA, we identified 400 asymptomatic diabetic individuals without known CAD. Coronary stenosis by CCTA was graded as 0%, 1-49%, 50-69%, and ≥70%. CAD was judged on a per-patient, per-vessel and per-segment basis as maximal stenosis severity, number of vessels with ≥50% stenosis, and coronary segments weighted for stenosis severity (segment stenosis score), respectively. We assessed major adverse cardiovascular events (MACE) - inclusive of mortality, nonfatal myocardial infarction (MI), and late target vessel revascularization ≥90 days (REV) - and evaluated the incremental utility of CCTA for risk prediction, discrimination and reclassification.
RESULTS:
Mean age was 60.4 ± 9.9 years; 65.0% were male. At a mean follow-up 2.4 ± 1.1 years, 33 MACE occurred (13 deaths, 8 MI, 12 REV) [8.25%; annualized rate 3.4%]. By univariate analysis, per-patient maximal stenosis [hazards ratio (HR) 2.24 per stenosis grade, 95% confidence interval (CI) 1.61-3.10, p < 0.001], increasing numbers of obstructive vessels (HR 2.30 per vessel, 95% CI 1.75-3.03, p < 0.001) and segment stenosis score (HR 1.14 per segment, 95% CI 1.09-1.19, p < 0.001) were associated with increased MACE. After adjustment for CAD risk factors and CACS, maximal stenosis (HR 1.80 per grade, 95% CI 1.18-2.75, p = 0.006), number of obstructive vessels (HR 1.85 per vessel, 95% CI 1.29-2.65, p < 0.001) and segment stenosis score (HR 1.11 per segment, 95% CI 1.05-1.18, p < 0.001) were associated with increased risk of MACE. Beyond age, gender and CACS (C-index 0.64), CCTA improved discrimination by maximal stenosis, number of obstructive vessels and segment stenosis score (C-index 0.77, 0.77 and 0.78, respectively). Similarly, CCTA findings improved risk reclassification by per-patient maximal stenosis [integrated discrimination improvement (IDI) index 0.03, p = 0.03] and number of obstructive vessels (IDI index 0.06, p = 0.002), and by trend for segment stenosis score (IDI 0.03, p = 0.06).
CONCLUSION:
For asymptomatic diabetic individuals, CCTA measures of CAD severity confer incremental risk prediction, discrimination and reclassification on a per-patient, per-vessel and per-segment basis.
Full Text
http://www.sciencedirect.com/science/article/pii/S0021915013005716
DOI
10.1016/j.atherosclerosis.2013.09.025
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/22282913/98297
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