Additional value of inflammatory biomarkers and carotid artery disease in prediction of significant coronary artery disease as assessed by coronary computed tomography angiography
Abstract 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 intermedia...
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| Veröffentlicht in: | European heart journal cardiovascular imaging 2017-09, Vol.18 (9), p.1049-1056 |
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| creator | Guaricci, Andrea Igoren Pontone, Gianluca Fusini, Laura De Luca, Maria Cafarelli, Francesco Pio Guglielmo, Marco Baggiano, Andrea Beltrama, Virginia Muscogiuri, Giuseppe Mushtaq, Saima Conte, Edoardo Guglielmi, Giuseppe Andreini, Daniele Brunetti, Natale Daniele Di Biase, Matteo Bartorelli, Antonio L. Pepi, Mauro |
| description | Abstract
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. |
| doi_str_mv | 10.1093/ehjci/jew173 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1835418463</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/ehjci/jew173</oup_id><sourcerecordid>1835418463</sourcerecordid><originalsourceid>FETCH-LOGICAL-c427t-e25791847076eec42923cc9e6061be5f826fa74b5b80e4aceb6842b67968ee203</originalsourceid><addsrcrecordid>eNp9kU9PwyAYxonRqJm7eTbc9OAcUArtcVn8l5h40XND6duN2ZYKVLPP5ReUuamJBwkJb15-z_MGHoROKbmiJE-msFxpM13BO5XJHjpmhMsJ45Tt_9SEH6Gx9ysSV8oFZ_QQHTEpOZNJdow-ZlVlgrGdavCbagbAtsamqxvVtipYt8alsa1yL-A8Vl2FtXI2mAorFyDeVsaD8hAluHdQGb3x2nh4s-hMbbTqAtbWxQGR_iNS0dJ7iLvC5foX07bthxCbwbZ24VS_jNJuYXb1CTqoVeNhvDtH6Pnm-ml-N3l4vL2fzx4mOj4uTIClMqcZl0QKgNjLWaJ1DoIIWkJaZ0zUSvIyLTMCXGkoRcZZKWQuMgBGkhG62Pr2zr4O4EPRGq-haVQHdvAFzZKUxwEiiejlFtXOeu-gLnpn4retC0qKTVLFV1LFNqmIn-2ch7KF6gf-ziUC51vADv3_Vp_kVKM_</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1835418463</pqid></control><display><type>article</type><title>Additional value of inflammatory biomarkers and carotid artery disease in prediction of significant coronary artery disease as assessed by coronary computed tomography angiography</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Guaricci, Andrea Igoren ; Pontone, Gianluca ; Fusini, Laura ; De Luca, Maria ; Cafarelli, Francesco Pio ; Guglielmo, Marco ; Baggiano, Andrea ; Beltrama, Virginia ; Muscogiuri, Giuseppe ; Mushtaq, Saima ; Conte, Edoardo ; Guglielmi, Giuseppe ; Andreini, Daniele ; Brunetti, Natale Daniele ; Di Biase, Matteo ; Bartorelli, Antonio L. ; Pepi, Mauro</creator><creatorcontrib>Guaricci, Andrea Igoren ; Pontone, Gianluca ; Fusini, Laura ; De Luca, Maria ; Cafarelli, Francesco Pio ; Guglielmo, Marco ; Baggiano, Andrea ; Beltrama, Virginia ; Muscogiuri, Giuseppe ; Mushtaq, Saima ; Conte, Edoardo ; Guglielmi, Giuseppe ; Andreini, Daniele ; Brunetti, Natale Daniele ; Di Biase, Matteo ; Bartorelli, Antonio L. ; Pepi, Mauro</creatorcontrib><description>Abstract
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.</description><identifier>ISSN: 2047-2404</identifier><identifier>EISSN: 2047-2412</identifier><identifier>DOI: 10.1093/ehjci/jew173</identifier><identifier>PMID: 27742738</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Aged ; Asymptomatic Diseases ; Carotid Artery Diseases - blood ; Carotid Artery Diseases - diagnostic imaging ; Carotid Artery Diseases - epidemiology ; Comorbidity ; Computed Tomography Angiography - methods ; Confidence Intervals ; Coronary Angiography - methods ; Coronary Artery Disease - blood ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - epidemiology ; Female ; Healthy Volunteers ; Humans ; Incidence ; Inflammation Mediators - blood ; Male ; Middle Aged ; Odds Ratio ; Predictive Value of Tests ; Risk Assessment ; ROC Curve</subject><ispartof>European heart journal cardiovascular imaging, 2017-09, Vol.18 (9), p.1049-1056</ispartof><rights>Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2016. For permissions please email: journals.permissions@oup.com. 2016</rights><rights>Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2016. For permissions please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-e25791847076eec42923cc9e6061be5f826fa74b5b80e4aceb6842b67968ee203</citedby><cites>FETCH-LOGICAL-c427t-e25791847076eec42923cc9e6061be5f826fa74b5b80e4aceb6842b67968ee203</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27742738$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guaricci, Andrea Igoren</creatorcontrib><creatorcontrib>Pontone, Gianluca</creatorcontrib><creatorcontrib>Fusini, Laura</creatorcontrib><creatorcontrib>De Luca, Maria</creatorcontrib><creatorcontrib>Cafarelli, Francesco Pio</creatorcontrib><creatorcontrib>Guglielmo, Marco</creatorcontrib><creatorcontrib>Baggiano, Andrea</creatorcontrib><creatorcontrib>Beltrama, Virginia</creatorcontrib><creatorcontrib>Muscogiuri, Giuseppe</creatorcontrib><creatorcontrib>Mushtaq, Saima</creatorcontrib><creatorcontrib>Conte, Edoardo</creatorcontrib><creatorcontrib>Guglielmi, Giuseppe</creatorcontrib><creatorcontrib>Andreini, Daniele</creatorcontrib><creatorcontrib>Brunetti, Natale Daniele</creatorcontrib><creatorcontrib>Di Biase, Matteo</creatorcontrib><creatorcontrib>Bartorelli, Antonio L.</creatorcontrib><creatorcontrib>Pepi, Mauro</creatorcontrib><title>Additional value of inflammatory biomarkers and carotid artery disease in prediction of significant coronary artery disease as assessed by coronary computed tomography angiography</title><title>European heart journal cardiovascular imaging</title><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><description>Abstract
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.</description><subject>Aged</subject><subject>Asymptomatic Diseases</subject><subject>Carotid Artery Diseases - blood</subject><subject>Carotid Artery Diseases - diagnostic imaging</subject><subject>Carotid Artery Diseases - epidemiology</subject><subject>Comorbidity</subject><subject>Computed Tomography Angiography - methods</subject><subject>Confidence Intervals</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Artery Disease - blood</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Female</subject><subject>Healthy Volunteers</subject><subject>Humans</subject><subject>Incidence</subject><subject>Inflammation Mediators - blood</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Odds Ratio</subject><subject>Predictive Value of Tests</subject><subject>Risk Assessment</subject><subject>ROC Curve</subject><issn>2047-2404</issn><issn>2047-2412</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU9PwyAYxonRqJm7eTbc9OAcUArtcVn8l5h40XND6duN2ZYKVLPP5ReUuamJBwkJb15-z_MGHoROKbmiJE-msFxpM13BO5XJHjpmhMsJ45Tt_9SEH6Gx9ysSV8oFZ_QQHTEpOZNJdow-ZlVlgrGdavCbagbAtsamqxvVtipYt8alsa1yL-A8Vl2FtXI2mAorFyDeVsaD8hAluHdQGb3x2nh4s-hMbbTqAtbWxQGR_iNS0dJ7iLvC5foX07bthxCbwbZ24VS_jNJuYXb1CTqoVeNhvDtH6Pnm-ml-N3l4vL2fzx4mOj4uTIClMqcZl0QKgNjLWaJ1DoIIWkJaZ0zUSvIyLTMCXGkoRcZZKWQuMgBGkhG62Pr2zr4O4EPRGq-haVQHdvAFzZKUxwEiiejlFtXOeu-gLnpn4retC0qKTVLFV1LFNqmIn-2ch7KF6gf-ziUC51vADv3_Vp_kVKM_</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Guaricci, Andrea Igoren</creator><creator>Pontone, Gianluca</creator><creator>Fusini, Laura</creator><creator>De Luca, Maria</creator><creator>Cafarelli, Francesco Pio</creator><creator>Guglielmo, Marco</creator><creator>Baggiano, Andrea</creator><creator>Beltrama, Virginia</creator><creator>Muscogiuri, Giuseppe</creator><creator>Mushtaq, Saima</creator><creator>Conte, Edoardo</creator><creator>Guglielmi, Giuseppe</creator><creator>Andreini, Daniele</creator><creator>Brunetti, Natale Daniele</creator><creator>Di Biase, Matteo</creator><creator>Bartorelli, Antonio L.</creator><creator>Pepi, Mauro</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20170901</creationdate><title>Additional value of inflammatory biomarkers and carotid artery disease in prediction of significant coronary artery disease as assessed by coronary computed tomography angiography</title><author>Guaricci, Andrea Igoren ; Pontone, Gianluca ; Fusini, Laura ; De Luca, Maria ; Cafarelli, Francesco Pio ; Guglielmo, Marco ; Baggiano, Andrea ; Beltrama, Virginia ; Muscogiuri, Giuseppe ; Mushtaq, Saima ; Conte, Edoardo ; Guglielmi, Giuseppe ; Andreini, Daniele ; Brunetti, Natale Daniele ; Di Biase, Matteo ; Bartorelli, Antonio L. ; Pepi, Mauro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-e25791847076eec42923cc9e6061be5f826fa74b5b80e4aceb6842b67968ee203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Asymptomatic Diseases</topic><topic>Carotid Artery Diseases - blood</topic><topic>Carotid Artery Diseases - diagnostic imaging</topic><topic>Carotid Artery Diseases - epidemiology</topic><topic>Comorbidity</topic><topic>Computed Tomography Angiography - methods</topic><topic>Confidence Intervals</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Artery Disease - blood</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Female</topic><topic>Healthy Volunteers</topic><topic>Humans</topic><topic>Incidence</topic><topic>Inflammation Mediators - blood</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Odds Ratio</topic><topic>Predictive Value of Tests</topic><topic>Risk Assessment</topic><topic>ROC Curve</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guaricci, Andrea Igoren</creatorcontrib><creatorcontrib>Pontone, Gianluca</creatorcontrib><creatorcontrib>Fusini, Laura</creatorcontrib><creatorcontrib>De Luca, Maria</creatorcontrib><creatorcontrib>Cafarelli, Francesco Pio</creatorcontrib><creatorcontrib>Guglielmo, Marco</creatorcontrib><creatorcontrib>Baggiano, Andrea</creatorcontrib><creatorcontrib>Beltrama, Virginia</creatorcontrib><creatorcontrib>Muscogiuri, Giuseppe</creatorcontrib><creatorcontrib>Mushtaq, Saima</creatorcontrib><creatorcontrib>Conte, Edoardo</creatorcontrib><creatorcontrib>Guglielmi, Giuseppe</creatorcontrib><creatorcontrib>Andreini, Daniele</creatorcontrib><creatorcontrib>Brunetti, Natale Daniele</creatorcontrib><creatorcontrib>Di Biase, Matteo</creatorcontrib><creatorcontrib>Bartorelli, Antonio L.</creatorcontrib><creatorcontrib>Pepi, Mauro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European heart journal cardiovascular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guaricci, Andrea Igoren</au><au>Pontone, Gianluca</au><au>Fusini, Laura</au><au>De Luca, Maria</au><au>Cafarelli, Francesco Pio</au><au>Guglielmo, Marco</au><au>Baggiano, Andrea</au><au>Beltrama, Virginia</au><au>Muscogiuri, Giuseppe</au><au>Mushtaq, Saima</au><au>Conte, Edoardo</au><au>Guglielmi, Giuseppe</au><au>Andreini, Daniele</au><au>Brunetti, Natale Daniele</au><au>Di Biase, Matteo</au><au>Bartorelli, Antonio L.</au><au>Pepi, Mauro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Additional value of inflammatory biomarkers and carotid artery disease in prediction of significant coronary artery disease as assessed by coronary computed tomography angiography</atitle><jtitle>European heart journal cardiovascular imaging</jtitle><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><date>2017-09-01</date><risdate>2017</risdate><volume>18</volume><issue>9</issue><spage>1049</spage><epage>1056</epage><pages>1049-1056</pages><issn>2047-2404</issn><eissn>2047-2412</eissn><abstract>Abstract
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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>27742738</pmid><doi>10.1093/ehjci/jew173</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Alma/SFX Local Collection |
| subjects | Aged Asymptomatic Diseases Carotid Artery Diseases - blood Carotid Artery Diseases - diagnostic imaging Carotid Artery Diseases - epidemiology Comorbidity Computed Tomography Angiography - methods Confidence Intervals Coronary Angiography - methods Coronary Artery Disease - blood Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - epidemiology Female Healthy Volunteers Humans Incidence Inflammation Mediators - blood Male Middle Aged Odds Ratio Predictive Value of Tests Risk Assessment ROC Curve |
| title | Additional value of inflammatory biomarkers and carotid artery disease in prediction of significant coronary artery disease as assessed by coronary computed tomography angiography |
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