Association of high-risk coronary atherosclerosis at CCTA with clinical and circulating biomarkers: Insight from CAPIRE study.
Age Factors
Aged
Biomarkers
/ blood
C-Reactive Protein
/ analysis
Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
/ blood
Cross-Sectional Studies
Female
Glycated Hemoglobin
/ analysis
Humans
Italy
/ epidemiology
Male
Middle Aged
Multidetector Computed Tomography
Plaque, Atherosclerotic
Predictive Value of Tests
Prevalence
Prognosis
Prospective Studies
Risk Assessment
Risk Factors
Serum Amyloid P-Component
/ analysis
Sex Factors
Cardiac computed tomography
Cardiovascular prevention
Coronary atherosclerosis
Coronary plaque
High-risk plaque features
Inflammation
Journal
Journal of cardiovascular computed tomography
ISSN: 1876-861X
Titre abrégé: J Cardiovasc Comput Tomogr
Pays: United States
ID NLM: 101308347
Informations de publication
Date de publication:
Historique:
received:
20
09
2019
revised:
28
02
2020
accepted:
23
03
2020
pubmed:
22
6
2020
medline:
7
4
2021
entrez:
22
6
2020
Statut:
ppublish
Résumé
High-risk coronary atherosclerosis features evaluated coronary CT angiography (CCTA) were suggested to have a prognostic role. The present study aimed to evaluate the association of circulating biomarkers with high-risk plaque features assessed by CCTA. A consecutive cohort of subjects who underwent CCTA because of suspected CAD was screened for inclusion in the CAPIRE study. Based on risk factors (RF) burden patients were defined as having a low clinical risk (0-1 RF with the exclusion of patients with diabetes mellitus as single RF) or an high clinical risk (≥3 RFs). In all patients, measurement of inflammatory biomarkers and CCTA analysis focused on high-risk plaque features were performed. Univariate and multivariate logistic regression analysis were used to evaluate the relationship between clinical and biological variables with CCTA advanced plaque features. 528 patients were enrolled in CAPIRE study. Older age and male sex appeared to be predictors of qualitative high-risk plaque features and associated with the presence of elevated total, non-calcified and low-attenuation plaque volume. Among circulating biomarkers only hs-CRP was found to be associated with qualitative high-risk plaque features (OR 2.02, p = 0.004 and 2.02, p = 0.012 for LAP and RI > 1.1, respectively) with borderline association with LAP-Vol (OR 1.52, p = 0.076); HbA1c and PTX-3 resulted to be significantly associated with quantitative high-risk plaque features (OR 1.71, p = 0.003 and 1.04, p = 0.002 for LAP-Vol, respectively). Our results support the association between inflammatory biomarkers (hs-CRP, PTX- 3), HbA1c and high-risk atherosclerotic features detected by CCTA. Male sex and older age are significant predictors of high-risk atherosclerosis.
Sections du résumé
BACKGROUND
BACKGROUND
High-risk coronary atherosclerosis features evaluated coronary CT angiography (CCTA) were suggested to have a prognostic role. The present study aimed to evaluate the association of circulating biomarkers with high-risk plaque features assessed by CCTA.
METHODS
METHODS
A consecutive cohort of subjects who underwent CCTA because of suspected CAD was screened for inclusion in the CAPIRE study. Based on risk factors (RF) burden patients were defined as having a low clinical risk (0-1 RF with the exclusion of patients with diabetes mellitus as single RF) or an high clinical risk (≥3 RFs). In all patients, measurement of inflammatory biomarkers and CCTA analysis focused on high-risk plaque features were performed. Univariate and multivariate logistic regression analysis were used to evaluate the relationship between clinical and biological variables with CCTA advanced plaque features.
RESULTS
RESULTS
528 patients were enrolled in CAPIRE study. Older age and male sex appeared to be predictors of qualitative high-risk plaque features and associated with the presence of elevated total, non-calcified and low-attenuation plaque volume. Among circulating biomarkers only hs-CRP was found to be associated with qualitative high-risk plaque features (OR 2.02, p = 0.004 and 2.02, p = 0.012 for LAP and RI > 1.1, respectively) with borderline association with LAP-Vol (OR 1.52, p = 0.076); HbA1c and PTX-3 resulted to be significantly associated with quantitative high-risk plaque features (OR 1.71, p = 0.003 and 1.04, p = 0.002 for LAP-Vol, respectively).
CONCLUSIONS
CONCLUSIONS
Our results support the association between inflammatory biomarkers (hs-CRP, PTX- 3), HbA1c and high-risk atherosclerotic features detected by CCTA. Male sex and older age are significant predictors of high-risk atherosclerosis.
Identifiants
pubmed: 32563713
pii: S1934-5925(20)30128-3
doi: 10.1016/j.jcct.2020.03.005
pii:
doi:
Substances chimiques
Biomarkers
0
Glycated Hemoglobin A
0
Serum Amyloid P-Component
0
hemoglobin A1c protein, human
0
PTX3 protein
148591-49-5
C-Reactive Protein
9007-41-4
Types de publication
Comparative Study
Journal Article
Multicenter Study
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
73-80Investigateurs
A Maseri
(A)
D Andreini
(D)
S Berti
(S)
M Canestrari
(M)
G Casolo
(G)
D Gabrielli
(D)
R Latini
(R)
M Magnoni
(M)
P Marraccini
(P)
S Masson
(S)
T Moccetti
(T)
M G Modena
(MG)
D Andreini
(D)
G Pontone
(G)
S Masson
(S)
F Gaspari
(F)
S Ferrari
(S)
A Cannata
(A)
N Stucchi
(N)
M Fois
(M)
R Bernasconi
(R)
G Balconi
(G)
T Vago
(T)
T Letizia
(T)
B Bottazzi
(B)
R Leone
(R)
I Suliman
(I)
M Sommaruga
(M)
P Gremigni
(P)
R Olivieri
(R)
L Pennacchietti
(L)
M Magnacca
(M)
M G Rossi
(MG)
E Pasotti
(E)
T Moccetti
(T)
A Clemente
(A)
D Andreini
(D)
G Pontone
(G)
S Mushtaq
(S)
E Mauro
(E)
R Rossi
(R)
F Pigazzani
(F)
L Faggioni
(L)
M Ciardetti
(M)
M Puppato
(M)
Informations de copyright
Copyright © 2020 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest Daniele Andreini declares the following conflict of interest: speaker bureau for GE Healthcare, research grant (to the Institution) from GE Healthcare and Bracco. The other authors have nothing to declare. Gianluca Pontone declares the following conflict of interest: Institutional fee as speaker and/or research grant from GE Helthcare, Bracco, Bayer, Medtronic, Heartflow.