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Published on: January 28, 2020
Association of high-risk coronary atherosclerosis at CCTA with clinical and circulating biomarkers: Insight from
Edoardo Conte1, Daniele Andreini2, Marco Magnoni3
1Centro Cardiologico Monzino, IRCCS, Milan, Italy.
Insights
High-risk plaque features on coronary CT angiography are linked to inflammatory biomarkers like hs-CRP and PTX-3, and HbA1c. Older age and male sex also predict these high-risk atherosclerosis indicators.
Area of Science:
- Cardiology
- Biomarkers
- Medical Imaging
Background:
- Coronary CT angiography (CCTA) identifies high-risk plaque features with prognostic implications.
- Understanding associations between circulating biomarkers and these plaque features is crucial for risk stratification.
Purpose of the Study:
- To evaluate the relationship between circulating inflammatory biomarkers and high-risk plaque features identified by CCTA.
- To assess the role of clinical risk factors in predicting high-risk atherosclerosis.
Main Methods:
- Patients undergoing CCTA for suspected coronary artery disease (CAD) were analyzed.
- High-risk plaque features were assessed via CCTA, and inflammatory biomarkers were measured.
- Logistic regression models were used to determine associations between clinical/biological variables and plaque features.
Main Results:
- Older age and male sex were predictors of qualitative high-risk plaque features and plaque volume.
- High-sensitivity C-reactive protein (hs-CRP) associated with qualitative high-risk plaque features.
- Hemoglobin A1c (HbA1c) and Pentraxin-3 (PTX-3) were significantly associated with quantitative high-risk plaque features.
Conclusions:
- Inflammatory biomarkers (hs-CRP, PTX-3) and HbA1c are associated with high-risk atherosclerotic features on CCTA.
- Male sex and older age are significant predictors of high-risk atherosclerosis.
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.
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