AIMS: To evaluate the relationship between an incremental model including cardiovascular risk factors, carotid disease, and inflammatory biomarkers to predict the presence of obstructive coronary artery disease (CAD). METHODS AND RESULTS: A total of 134 consecutive and asymptomatic intermediate-risk patients (mean age 61 ± 9 years, 52% men) were enrolled. Each subject underwent circulating levels assessment of interleukin (IL)-2r, IL-6, IL-8, IL-10, high-sensitivity C-reactive protein (hs-CRP) and carotid and coronary artery evaluation using carotid ultrasound and coronary computed tomography angiography (CCTA), respectively. Carotid disease was diagnosed in 71 (53%) patients. Obstructive and multi-vessel CAD were found in 50 (37%) and 18 (14%) patients, respectively. Patients in whom CCTA showed multi-vessel CAD had a higher rate of carotid disease (89 vs. 46%, P = 0.001) and increased values of all interleukins when compared with patients without multi-vessel obstructive CAD. The univariate and multivariate analysis showed that male gender, diabetes, carotid disease, and IL-6 were independently associated with obstructive CAD. At receiver operating characteristic curve analysis, the multivariate model (including male gender, carotid disease, IL-6 > 5.9 pg/mL, and diabetes) showed the highest area under the curve for prediction of obstructive CAD, multi-vessel CAD, and high-risk plaque defined as mixed and/or remodelled plaque when compared with all other models (P < 0.001). CONCLUSION: Among asymptomatic intermediate-risk patients, the presence of increased IL6 levels in addition to traditional risk factors (male gender with diabetes) and carotid artery disease predicts higher rates of obstructive CAD and it could be of help to identify which subset of asymptomatic patients could be referred to CCTA for screening. Published on behalf of the European Society of Cardiology. All rights reserved.
AIMS: To evaluate the relationship between an incremental model including cardiovascular risk factors, carotid disease, and inflammatory biomarkers to predict the presence of obstructive coronary artery disease (CAD). METHODS AND RESULTS: A total of 134 consecutive and asymptomatic intermediate-risk patients (mean age 61 ± 9 years, 52% men) were enrolled. Each subject underwent circulating levels assessment of interleukin (IL)-2r, IL-6, IL-8, IL-10, high-sensitivity C-reactive protein (hs-CRP) and carotid and coronary artery evaluation using carotid ultrasound and coronary computed tomography angiography (CCTA), respectively. Carotid disease was diagnosed in 71 (53%) patients. Obstructive and multi-vessel CAD were found in 50 (37%) and 18 (14%) patients, respectively. Patients in whom CCTA showed multi-vessel CAD had a higher rate of carotid disease (89 vs. 46%, P = 0.001) and increased values of all interleukins when compared with patients without multi-vessel obstructive CAD. The univariate and multivariate analysis showed that male gender, diabetes, carotid disease, and IL-6 were independently associated with obstructive CAD. At receiver operating characteristic curve analysis, the multivariate model (including male gender, carotid disease, IL-6 > 5.9 pg/mL, and diabetes) showed the highest area under the curve for prediction of obstructive CAD, multi-vessel CAD, and high-risk plaque defined as mixed and/or remodelled plaque when compared with all other models (P < 0.001). CONCLUSION: Among asymptomatic intermediate-risk patients, the presence of increased IL6 levels in addition to traditional risk factors (male gender with diabetes) and carotid artery disease predicts higher rates of obstructive CAD and it could be of help to identify which subset of asymptomatic patients could be referred to CCTA for screening. Published on behalf of the European Society of Cardiology. All rights reserved.
Authors: Andrea Igoren Guaricci; Giuseppina Chiarello; Elisa Gherbesi; Laura Fusini; Nicolo' Soldato; Paola Siena; Raffaella Ursi; Roberta Ruggieri; Marco Guglielmo; Giuseppe Muscogiuri; Andrea Baggiano; Mark G Rabbat; Riccardo Memeo; Mario Lepera; Stefano Favale; Gianluca Pontone Journal: Eur Heart J Open Date: 2022-02-25
Authors: Daniel J Conklin; Suzaynn Schick; Michael J Blaha; Alex Carll; Andrew DeFilippis; Peter Ganz; Michael E Hall; Naomi Hamburg; Tim O'Toole; Lindsay Reynolds; Sanjay Srivastava; Aruni Bhatnagar Journal: Am J Physiol Heart Circ Physiol Date: 2019-02-01 Impact factor: 4.733
Authors: Andrea Igoren Guaricci; Delia De Santis; Mariangela Carbone; Giuseppe Muscogiuri; Marco Guglielmo; Andrea Baggiano; Gaetano Serviddio; Gianluca Pontone Journal: Biomed Res Int Date: 2018-01-15 Impact factor: 3.411