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15-Year prognostic utility of coronary artery calcium scoring for all-cause mortality in the elderly

Authors
 Bríain o Hartaigh  ;  Valentina Valenti  ;  Iksung Cho  ;  Joshua Schulman-Marcus  ;  Heidi Gransar  ;  Joseph Knapper  ;  Anita A. Kelkar  ;  Joseph X. Xie  ;  Hyuk-Jae Chang  ;  Leslee J. Shaw  ;  Tracy Q. Callister  ;  James K. Min 
Citation
 ATHEROSCLEROSIS, Vol.246 : 361-366, 2016 
Journal Title
 ATHEROSCLEROSIS 
ISSN
 0021-9150 
Issue Date
2016
MeSH
Adult ; Age Factors ; Aged ; Area Under Curve ; Cause of Death ; Chi-Square Distribution ; Computed Tomography Angiography* ; Coronary Angiography/methods* ; Coronary Artery Disease/diagnostic imaging* ; Coronary Artery Disease/mortality ; Coronary Vessels/diagnostic imaging* ; Female ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Multivariate Analysis ; Predictive Value of Tests ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; ROC Curve ; Risk Assessment ; Risk Factors ; Severity of Illness Index ; Vascular Calcification/diagnostic imaging* ; Vascular Calcification/mortality
Keywords
All-cause death ; Coronary artery calcification ; Discrimination ; Elderly ; Reclassification ; Risk factors
Abstract
INTRODUCTION: Prior studies have demonstrated a decline in the predictive ability of conventional risk factors (RF) with advancing age, emphasizing the need for novel tools to improve risk stratification in the elderly. Coronary artery calcification (CAC) is a robust predictor of adverse cardiovascular events, but its long-term prognostic utility beyond RFs in elderly persons is unknown. METHODS: A consecutive series of 9715 individuals underwent CAC scoring and were followed for a mean of 14.6 ± 1.1 years. Multivariable Cox proportional hazards regression (HR) with 95% confidence intervals (95% CI) was employed to assess the independent relationship of CAC and RFs with all-cause death. The incremental value of CAC, stratified by age, was examined by using an area under the receiver operator characteristic curve (AUC) and category-free net reclassification improvement (NRI). RESULTS: Of the overall study sample, 728 (7.5%) adults (mean age 74.2 ± 4.2 years; 55.6% female) were 70 years or older, of which 157 (21.6%) died. The presence of any CAC was associated with a >4-fold (95% CI = 2.84-6.59) adjusted risk of death for those over the age of 70, which was higher compared with younger study counterparts, or other measured RFs. For individuals 70 years or older, the discriminatory ability of CAC improved upon that of RFs alone (C statistics 0.764 vs. 0.675, P < 0.001). CAC also enabled improved reclassification (category-free NRI = 84%, P < 0.001) when added to RFs. CONCLUSION: In a large-scale observational cohort registry, CAC improves prediction, discrimination, and reclassification of elderly individuals at risk for future death.
Full Text
http://www.sciencedirect.com/science/article/pii/S0021915016300387
DOI
10.1016/j.atherosclerosis.2016.01.039
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
Cho, Ik Sung(조익성)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/146391
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