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: 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: 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: 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.

Association of high-risk coronary atherosclerosis at CCTA with clinical and circulating biomarkers: Insight from CAPIRE study / Conte, E.; Andreini, D.; Magnoni, M.; Masson, S.; Mushtaq, S.; Berti, S.; Canestrari, M.; Casolo, G.; Gabrielli, D.; Latini, R.; Marraccini, P.; Moccetti, T.; Modena, M. G.; Pontone, G.; Gorini, M.; Maggioni, A. P.; Maseri, A.; Maseri, A.; Andreini, D.; Berti, S.; Canestrari, M.; Casolo, G.; Gabrielli, D.; Latini, R.; Magnoni, M.; Marraccini, P.; Masson, S.; Moccetti, T.; Modena, M. G.; Pontone, G.; Gaspari, F.; Ferrari, S.; Cannata, A.; Stucchi, N.; Fois, M.; Bernasconi, R.; Balconi, G.; Vago, T.; Letizia, T.; Bottazzi, B.; Leone, R.; Suliman, I.; Sommaruga, M.; Gremigni, P.; Olivieri, R.; Pennacchietti, L.; Magnacca, M.; Rossi, M. G.; Pasotti, E.; Clemente, A.; Mushtaq, S.; Mauro, E.; Rossi, R.; Pigazzani, F.; Faggioni, L.; Ciardetti, M.; Puppato, M.. - In: JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY. - ISSN 1934-5925. - 15:1(2021), pp. 73-80. [10.1016/j.jcct.2020.03.005]

Association of high-risk coronary atherosclerosis at CCTA with clinical and circulating biomarkers: Insight from CAPIRE study

Berti S.;Modena M. G.;Berti S.;Modena M. G.;Fois M.;Mauro E.;Rossi R.
Membro del Collaboration Group
;
2021

Abstract

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: 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: 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: 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.
2021
10-giu-2020
15
1
73
80
Association of high-risk coronary atherosclerosis at CCTA with clinical and circulating biomarkers: Insight from CAPIRE study / Conte, E.; Andreini, D.; Magnoni, M.; Masson, S.; Mushtaq, S.; Berti, S.; Canestrari, M.; Casolo, G.; Gabrielli, D.; Latini, R.; Marraccini, P.; Moccetti, T.; Modena, M. G.; Pontone, G.; Gorini, M.; Maggioni, A. P.; Maseri, A.; Maseri, A.; Andreini, D.; Berti, S.; Canestrari, M.; Casolo, G.; Gabrielli, D.; Latini, R.; Magnoni, M.; Marraccini, P.; Masson, S.; Moccetti, T.; Modena, M. G.; Pontone, G.; Gaspari, F.; Ferrari, S.; Cannata, A.; Stucchi, N.; Fois, M.; Bernasconi, R.; Balconi, G.; Vago, T.; Letizia, T.; Bottazzi, B.; Leone, R.; Suliman, I.; Sommaruga, M.; Gremigni, P.; Olivieri, R.; Pennacchietti, L.; Magnacca, M.; Rossi, M. G.; Pasotti, E.; Clemente, A.; Mushtaq, S.; Mauro, E.; Rossi, R.; Pigazzani, F.; Faggioni, L.; Ciardetti, M.; Puppato, M.. - In: JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY. - ISSN 1934-5925. - 15:1(2021), pp. 73-80. [10.1016/j.jcct.2020.03.005]
Conte, E.; Andreini, D.; Magnoni, M.; Masson, S.; Mushtaq, S.; Berti, S.; Canestrari, M.; Casolo, G.; Gabrielli, D.; Latini, R.; Marraccini, P.; Moccetti, T.; Modena, M. G.; Pontone, G.; Gorini, M.; Maggioni, A. P.; Maseri, A.; Maseri, A.; Andreini, D.; Berti, S.; Canestrari, M.; Casolo, G.; Gabrielli, D.; Latini, R.; Magnoni, M.; Marraccini, P.; Masson, S.; Moccetti, T.; Modena, M. G.; Pontone, G.; Gaspari, F.; Ferrari, S.; Cannata, A.; Stucchi, N.; Fois, M.; Bernasconi, R.; Balconi, G.; Vago, T.; Letizia, T.; Bottazzi, B.; Leone, R.; Suliman, I.; Sommaruga, M.; Gremigni, P.; Olivieri, R.; Pennacchietti, L.; Magnacca, M.; Rossi, M. G.; Pasotti, E.; Clemente, A.; Mushtaq, S.; Mauro, E.; Rossi, R.; Pigazzani, F.; Faggioni, L.; Ciardetti, M.; Puppato, M.
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