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Left ventricular function and volume with coronary CT angiography improves risk stratification and identification of patients at risk for incident mortality: results from 7758 patients in the prospective multinational CONFIRM observational cohort study.

Authors
 Reza Arsanjani  ;  Daniel S. Berman  ;  Heidi Gransar  ;  Victor Y. Cheng  ;  Allison Dunning  ;  Fay Y. Lin  ;  Stephan Achenbach  ;  Mouaz Al Mallah  ;  Matthew J. Budoff  ;  Tracy Q. Callister  ;  Hyuk Jae Chang  ;  Filippo Cademartiri  ;  Kavitha M. Chinnaiyan  ;  Benjamin J. W. Chow  ;  Augustin DeLago  ;  Martin Hadamitzky  ;  Joerg Hausleiter  ;  Philipp Kaufmann  ;  Troy M. LaBounty  ;  Jonathon Leipsic  ;  Gilbert Raff  ;  Leslee J. Shaw  ;  Todd C. Villines  ;  Ricardo C. Cury  ;  Gudrun Feuchtner  ;  Yong Jin Kim  ;  James K. Min 
Citation
 RADIOLOGY, Vol.273(1) : 70-77, 2014 
Journal Title
RADIOLOGY
ISSN
 0033-8419 
Issue Date
2014
MeSH
Coronary Angiography/methods* ; Coronary Disease/diagnostic imaging* ; Coronary Disease/mortality* ; Female ; Humans ; Male ; Middle Aged ; Prognosis ; Prospective Studies ; Radiographic Image Interpretation, Computer-Assisted ; Registries ; Risk Assessment ; Risk Factors ; Survival Rate ; Tomography, X-Ray Computed/methods* ; Ventricular Dysfunction, Left/diagnostic imaging* ; Ventricular Dysfunction, Left/mortality*
Abstract
PURPOSE: To assess whether gradations of left ventricular (LV) ejection fraction (LVEF) and volumes measured with coronary computed tomography (CT) would augment risk stratification and discrimination for incident mortality.
MATERIALS AND METHODS: This study was approved by the institutional review board, and informed consent was obtained when required. Subjects without known coronary artery disease (CAD) who underwent cardiac CT angiography with quantitative LV measurements were categorized according to LVEF (≥ 55%, 45%-54.9%, 35%-44.9%, or <35%). LV end-systolic volume (LVESV) and LV end-diastolic volume (LVEDV) were classified as normal (≥ 90 mL) or abnormal (≥ 200 mL). CAD extent and severity was categorized as none, nonobstructive, obstructive (≥ 50%), one-vessel, two-vessel, and three-vessel or left main disease. LVEF and volumes were assessed for risk prediction and discrimination of future mortality by using Cox hazards model and receiver operating characteristic curve analysis, respectively.
RESULTS: During a follow-up of 2.0 years ± 0.9, 7758 patients (mean age, 58.5 years ± 13.0; 4220 male patients [54.4%]) were studied. At multivariable analysis, worsening LVEF was independently associated with mortality for moderately (hazard ratio = 3.14, P < .001) and severely (hazard ratio = 5.19, P < .001) abnormal ejection fraction. LVEF demonstrated improved discrimination for mortality (Az = 0.816) when compared with CAD risk factors alone (Az = 0.781) or CAD risk factors plus extent and severity. At multivariable analysis of a subgroup of 3706 individuals, abnormal LVEDV (hazard ratio = 4.02) and LVESV (hazard ratio = 6.46) helped predict mortality (P < .001). Similarly, LVESV and LVEDV demonstrated improved discrimination when compared with CAD risk factors or CAD extent and severity (P < .05).
CONCLUSION: LV dysfunction and volumes measured with cardiac CT angiography augment risk prediction and discrimination for future mortality.
Full Text
http://pubs.rsna.org/doi/abs/10.1148/radiol.14122816
DOI
10.1148/radiol.14122816
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/22282913/138258
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