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Coronary atherosclerosis scoring with semiquantitative CCTA risk scores for prediction of major adverse cardiac events: Propensity score-based analysis of diabetic and non-diabetic patients

Other Titles
 Coronary atherosclerosis scoring with semiquantitative CCTA risk scores for prediction of major adverse cardiac events: Propensity score-based analysis of diabetic and non-diabetic patients 
Authors
 Inge J van den Hoogen  ;  Alexander R van Rosendael  ;  Fay Y Lin  ;  Yao Lu  ;  Aukelien C Dimitriu-Leen  ;  Jeff M Smit  ;  Arthur J H A Scholte  ;  Stephan Achenbach  ;  Mouaz H Al-Mallah  ;  Daniele Andreini  ;  Daniel S Berman  ;  Matthew J Budoff  ;  Filippo Cademartiri  ;  Tracy Q Callister  ;  Hyuk-Jae Chang  ;  Kavitha Chinnaiyan  ;  Benjamin J W Chow  ;  Ricardo C Cury  ;  Augustin DeLago  ;  Gudrun Feuchtner  ;  Martin Hadamitzky  ;  Joerg Hausleiter  ;  Philipp A Kaufmann  ;  Yong-Jin Kim  ;  Jonathon A Leipsic  ;  Erica Maffei  ;  Hugo Marques  ;  Pedro de Araújo Gonçalves  ;  Gianluca Pontone  ;  Gilbert L Raff  ;  Ronen Rubinshtein  ;  Todd C Villines  ;  Heidi Gransar  ;  Erica C Jones  ;  Jessica M Peña  ;  Leslee J Shaw  ;  James K Min  ;  Jeroen J Bax 
Citation
 JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, Vol.14(3) : 251-257, 2020-05 
Journal Title
 JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY 
ISSN
 1934-5925 
Issue Date
2020-05
MeSH
Aged ; Case-Control Studies ; Computed Tomography Angiography* ; Coronary Angiography* ; Coronary Artery Disease / diagnostic imaging* ; Coronary Artery Disease / epidemiology ; Coronary Stenosis / diagnostic imaging* ; Coronary Stenosis / epidemiology ; Diabetes Mellitus* / diagnosis ; Diabetes Mellitus* / epidemiology ; Disease Progression ; Female ; Humans ; Male ; Middle Aged ; Multidetector Computed Tomography* ; Predictive Value of Tests ; Prognosis ; Propensity Score ; Registries ; Risk Assessment ; Risk Factors ; Severity of Illness Index
Keywords
Atherosclerosis ; Computed tomography (CT) ; Diabetes mellitus ; Prognostic application ; Risk stratification
Abstract
Aims: We aimed to compare semiquantitative coronary computed tomography angiography (CCTA) risk scores - which score presence, extent, composition, stenosis and/or location of coronary artery disease (CAD) - and their prognostic value between patients with and without diabetes mellitus (DM). Risk scores derived from general chest-pain populations are often challenging to apply in DM patients, because of numerous confounders. Methods: Out of a combined cohort from the Leiden University Medical Center and the CONFIRM registry with 5-year follow-up data, we performed a secondary analysis in diabetic patients with suspected CAD who were clinically referred for CCTA. A total of 732 DM patients was 1:1 propensity-matched with 732 non-DM patients by age, sex and cardiovascular risk factors. A subset of 7 semiquantitative CCTA risk scores was compared between groups: 1) any stenosis ≥50%, 2) any stenosis ≥70%, 3) stenosis-severity component of the coronary artery disease-reporting and data system (CAD-RADS), 4) segment involvement score (SIS), 5) segment stenosis score (SSS), 6) CT-adapted Leaman score (CT-LeSc), and 7) Leiden CCTA risk score. Cox-regression analysis was performed to assess the association between the scores and the primary endpoint of all-cause death and non-fatal myocardial infarction. Also, area under the receiver-operating characteristics curves were compared to evaluate discriminatory ability. Results: A total of 1,464 DM and non-DM patients (mean age 58 ± 12 years, 40% women) underwent CCTA and 155 (11%) events were documented after median follow-up of 5.1 years. In DM patients, the 7 semiquantitative CCTA risk scores were significantly more prevalent or higher as compared to non-DM patients (p ≤ 0.022). All scores were independently associated with the primary endpoint in both patients with and without DM (p ≤ 0.020), with non-significant interaction between the scores and diabetes (interaction p ≥ 0.109). Discriminatory ability of the Leiden CCTA risk score in DM patients was significantly better than any stenosis ≥50% and ≥70% (p = 0.003 and p = 0.007, respectively), but comparable to the CAD-RADS, SIS, SSS and CT-LeSc that also focus on the extent of CAD (p ≥ 0.265). Conclusion: Coronary atherosclerosis scoring with semiquantitative CCTA risk scores incorporating the total extent of CAD discriminate major adverse cardiac events well, and might be useful for risk stratification of patients with DM beyond the binary evaluation of obstructive stenosis alone.
Full Text
https://www.sciencedirect.com/science/article/pii/S1934592519300280
DOI
10.1016/j.jcct.2019.11.015
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/22282913/179270
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