Body mass index as a predictor of the presence but not the severity of coronary artery disease evaluated by cardiac computed tomography
Background The relation between body mass index (BMI) and coronary artery disease (CAD) extension remains controversial. The aim of this study was to evaluate the correlation between BMI and CAD extension documented by coronary computed tomography angiography (CCTA). Methods and results Prospective...
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| Veröffentlicht in: | European journal of preventive cardiology 2014-11, Vol.21 (11), p.1387-1393 |
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| creator | Dores, Hélder de Araújo Gonçalves, Pedro Carvalho, Maria Salomó Sousa, Pedro Jerónimo Ferreira, António Cardim, Nuno Carmo, Miguel Mota Aleixo, Ana Mendes, Miguel Machado, Francisco Pereira Roquette, José Marques, Hugo |
| description | Background
The relation between body mass index (BMI) and coronary artery disease (CAD) extension remains controversial. The aim of this study was to evaluate the correlation between BMI and CAD extension documented by coronary computed tomography angiography (CCTA).
Methods and results
Prospective registry including 1706 consecutive stable patients that performed CCTA (dual source scanner) for the evaluation of CAD. The population was stratified by BMI: normal 530 (31.1%), overweight 802 (47.0%) and obesity 374 (21.9%). BMI was significantly higher in patients with CAD (27.7 ± 4.3 vs 26.8 ± 4.3 kg/m2, p 5 segments with plaque (15.4% patients). The prevalence of SIS >5 among the BMI classes was: 18.7%, 13.7% and 13.6% for normal, overweight and obesity respectively (p values for the specific classes versus all other patients: 0.241, 0.450 and 0.663).
Conclusions
In this population of stable patients undergoing CCTA for suspected CAD, BMI was an independent predictor of its presence, but was not correlated with the coronary disease severity. |
| doi_str_mv | 10.1177/2047487313494291 |
| format | Article |
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The relation between body mass index (BMI) and coronary artery disease (CAD) extension remains controversial. The aim of this study was to evaluate the correlation between BMI and CAD extension documented by coronary computed tomography angiography (CCTA).
Methods and results
Prospective registry including 1706 consecutive stable patients that performed CCTA (dual source scanner) for the evaluation of CAD. The population was stratified by BMI: normal 530 (31.1%), overweight 802 (47.0%) and obesity 374 (21.9%). BMI was significantly higher in patients with CAD (27.7 ± 4.3 vs 26.8 ± 4.3 kg/m2, p < 0.001); these patients were also older, more often male and had higher prevalence of diabetes, hypertension and dyslipidemia. By multivariate analysis (logistic regression) BMI remains an independent predictor of CAD (odds ratio (OR) 1.03, 95% confidence interval (CI) 1.01–1.06; p = 0.012). Regarding the severity of CAD, BMI was not significantly different among patients with and without obstructive CAD (27.7 ± 4.3 vs 27.2 ± 4.3 kg/m2, p = 0.120). In 319 patients (4516 segments; 4077 evaluable), a detailed atherosclerotic burden was evaluated and compared among BMI classes, defined according to the presence of plaque and the degree of stenosis. Obstructive CAD was identified in 16.9% of the patients and 45.1% had non-obstructive CAD. The discriminative threshold for high burden, established by the segment involvement score (SIS), was >5 segments with plaque (15.4% patients). The prevalence of SIS >5 among the BMI classes was: 18.7%, 13.7% and 13.6% for normal, overweight and obesity respectively (p values for the specific classes versus all other patients: 0.241, 0.450 and 0.663).
Conclusions
In this population of stable patients undergoing CCTA for suspected CAD, BMI was an independent predictor of its presence, but was not correlated with the coronary disease severity.</description><identifier>ISSN: 2047-4873</identifier><identifier>EISSN: 2047-4881</identifier><identifier>DOI: 10.1177/2047487313494291</identifier><identifier>PMID: 23774273</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Aged ; Biological and medical sciences ; Body Mass Index ; Cardiology. Vascular system ; Comorbidity ; Coronary Angiography - methods ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - epidemiology ; Coronary heart disease ; Coronary Stenosis - diagnostic imaging ; Coronary Stenosis - epidemiology ; Coronary Vessels - diagnostic imaging ; Female ; Heart ; Humans ; Logistic Models ; Male ; Medical sciences ; Middle Aged ; Multivariate Analysis ; Obesity - diagnosis ; Obesity - epidemiology ; Odds Ratio ; Plaque, Atherosclerotic ; Portugal - epidemiology ; Predictive Value of Tests ; Prevalence ; Prospective Studies ; Registries ; Risk Factors ; Severity of Illness Index ; Tomography, X-Ray Computed</subject><ispartof>European journal of preventive cardiology, 2014-11, Vol.21 (11), p.1387-1393</ispartof><rights>The Author(s) 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav</rights><rights>2015 INIST-CNRS</rights><rights>The Author(s) 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-1aaf9fc6e4748d9b8c796c76a7f7138477dbf5dba2e4bd52d76bcf371d21ba243</citedby><cites>FETCH-LOGICAL-c409t-1aaf9fc6e4748d9b8c796c76a7f7138477dbf5dba2e4bd52d76bcf371d21ba243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/2047487313494291$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/2047487313494291$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28843988$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23774273$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dores, Hélder</creatorcontrib><creatorcontrib>de Araújo Gonçalves, Pedro</creatorcontrib><creatorcontrib>Carvalho, Maria Salomó</creatorcontrib><creatorcontrib>Sousa, Pedro Jerónimo</creatorcontrib><creatorcontrib>Ferreira, António</creatorcontrib><creatorcontrib>Cardim, Nuno</creatorcontrib><creatorcontrib>Carmo, Miguel Mota</creatorcontrib><creatorcontrib>Aleixo, Ana</creatorcontrib><creatorcontrib>Mendes, Miguel</creatorcontrib><creatorcontrib>Machado, Francisco Pereira</creatorcontrib><creatorcontrib>Roquette, José</creatorcontrib><creatorcontrib>Marques, Hugo</creatorcontrib><title>Body mass index as a predictor of the presence but not the severity of coronary artery disease evaluated by cardiac computed tomography</title><title>European journal of preventive cardiology</title><addtitle>Eur J Cardiovasc Prev Rehabil</addtitle><description>Background
The relation between body mass index (BMI) and coronary artery disease (CAD) extension remains controversial. The aim of this study was to evaluate the correlation between BMI and CAD extension documented by coronary computed tomography angiography (CCTA).
Methods and results
Prospective registry including 1706 consecutive stable patients that performed CCTA (dual source scanner) for the evaluation of CAD. The population was stratified by BMI: normal 530 (31.1%), overweight 802 (47.0%) and obesity 374 (21.9%). BMI was significantly higher in patients with CAD (27.7 ± 4.3 vs 26.8 ± 4.3 kg/m2, p < 0.001); these patients were also older, more often male and had higher prevalence of diabetes, hypertension and dyslipidemia. By multivariate analysis (logistic regression) BMI remains an independent predictor of CAD (odds ratio (OR) 1.03, 95% confidence interval (CI) 1.01–1.06; p = 0.012). Regarding the severity of CAD, BMI was not significantly different among patients with and without obstructive CAD (27.7 ± 4.3 vs 27.2 ± 4.3 kg/m2, p = 0.120). In 319 patients (4516 segments; 4077 evaluable), a detailed atherosclerotic burden was evaluated and compared among BMI classes, defined according to the presence of plaque and the degree of stenosis. Obstructive CAD was identified in 16.9% of the patients and 45.1% had non-obstructive CAD. The discriminative threshold for high burden, established by the segment involvement score (SIS), was >5 segments with plaque (15.4% patients). The prevalence of SIS >5 among the BMI classes was: 18.7%, 13.7% and 13.6% for normal, overweight and obesity respectively (p values for the specific classes versus all other patients: 0.241, 0.450 and 0.663).
Conclusions
In this population of stable patients undergoing CCTA for suspected CAD, BMI was an independent predictor of its presence, but was not correlated with the coronary disease severity.</description><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Body Mass Index</subject><subject>Cardiology. Vascular system</subject><subject>Comorbidity</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary heart disease</subject><subject>Coronary Stenosis - diagnostic imaging</subject><subject>Coronary Stenosis - epidemiology</subject><subject>Coronary Vessels - diagnostic imaging</subject><subject>Female</subject><subject>Heart</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Obesity - diagnosis</subject><subject>Obesity - epidemiology</subject><subject>Odds Ratio</subject><subject>Plaque, Atherosclerotic</subject><subject>Portugal - epidemiology</subject><subject>Predictive Value of Tests</subject><subject>Prevalence</subject><subject>Prospective Studies</subject><subject>Registries</subject><subject>Risk Factors</subject><subject>Severity of Illness Index</subject><subject>Tomography, X-Ray Computed</subject><issn>2047-4873</issn><issn>2047-4881</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kU2L1jAQgIMo7rLu3ZPkInipNh9vkx518QsWvOi5TJPJbpe2qZl0sb_Av23q-7qCYC4THp6ZYWYYey7q10IY80bW2mhrlFC61bIVj9j5jiptrXj88DfqjF0S3dXlNbWU1j5lZ1IZo6VR5-znu-g3PgERH2aPPzgQB74k9IPLMfEYeL7FHRDODnm_Zj7H_BsS3mMa8rZLLqY4Q9o4pIwl-IEQCDnew7hCRs_7jTtIfgBX5GlZd5bjFG8SLLfbM_YkwEh4eYoX7NuH91-vPlXXXz5-vnp7XTldt7kSAKENrsF9dN_21pm2caYBE4xQVhvj-3DwPUjUvT9Ib5reBWWEl6JArS7Yq2PdJcXvK1LupoEcjiPMGFfqRCNka6w51EWtj6pLkShh6JY0TGXGTtTdfoHu3wuUlBen6ms_oX9I-LPvIrw8CUAOxpBgdgP99azVqrW2eNXRI7jB7i6uaS5b-X_jX9DbnQI</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Dores, Hélder</creator><creator>de Araújo Gonçalves, Pedro</creator><creator>Carvalho, Maria Salomó</creator><creator>Sousa, Pedro Jerónimo</creator><creator>Ferreira, António</creator><creator>Cardim, Nuno</creator><creator>Carmo, Miguel Mota</creator><creator>Aleixo, Ana</creator><creator>Mendes, Miguel</creator><creator>Machado, Francisco Pereira</creator><creator>Roquette, José</creator><creator>Marques, Hugo</creator><general>SAGE Publications</general><general>Sage Publications</general><scope>IQODW</scope><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>20141101</creationdate><title>Body mass index as a predictor of the presence but not the severity of coronary artery disease evaluated by cardiac computed tomography</title><author>Dores, Hélder ; de Araújo Gonçalves, Pedro ; Carvalho, Maria Salomó ; Sousa, Pedro Jerónimo ; Ferreira, António ; Cardim, Nuno ; Carmo, Miguel Mota ; Aleixo, Ana ; Mendes, Miguel ; Machado, Francisco Pereira ; Roquette, José ; Marques, Hugo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-1aaf9fc6e4748d9b8c796c76a7f7138477dbf5dba2e4bd52d76bcf371d21ba243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Body Mass Index</topic><topic>Cardiology. Vascular system</topic><topic>Comorbidity</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary heart disease</topic><topic>Coronary Stenosis - diagnostic imaging</topic><topic>Coronary Stenosis - epidemiology</topic><topic>Coronary Vessels - diagnostic imaging</topic><topic>Female</topic><topic>Heart</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Obesity - diagnosis</topic><topic>Obesity - epidemiology</topic><topic>Odds Ratio</topic><topic>Plaque, Atherosclerotic</topic><topic>Portugal - epidemiology</topic><topic>Predictive Value of Tests</topic><topic>Prevalence</topic><topic>Prospective Studies</topic><topic>Registries</topic><topic>Risk Factors</topic><topic>Severity of Illness Index</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dores, Hélder</creatorcontrib><creatorcontrib>de Araújo Gonçalves, Pedro</creatorcontrib><creatorcontrib>Carvalho, Maria Salomó</creatorcontrib><creatorcontrib>Sousa, Pedro Jerónimo</creatorcontrib><creatorcontrib>Ferreira, António</creatorcontrib><creatorcontrib>Cardim, Nuno</creatorcontrib><creatorcontrib>Carmo, Miguel Mota</creatorcontrib><creatorcontrib>Aleixo, Ana</creatorcontrib><creatorcontrib>Mendes, Miguel</creatorcontrib><creatorcontrib>Machado, Francisco Pereira</creatorcontrib><creatorcontrib>Roquette, José</creatorcontrib><creatorcontrib>Marques, Hugo</creatorcontrib><collection>Pascal-Francis</collection><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 journal of preventive cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dores, Hélder</au><au>de Araújo Gonçalves, Pedro</au><au>Carvalho, Maria Salomó</au><au>Sousa, Pedro Jerónimo</au><au>Ferreira, António</au><au>Cardim, Nuno</au><au>Carmo, Miguel Mota</au><au>Aleixo, Ana</au><au>Mendes, Miguel</au><au>Machado, Francisco Pereira</au><au>Roquette, José</au><au>Marques, Hugo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Body mass index as a predictor of the presence but not the severity of coronary artery disease evaluated by cardiac computed tomography</atitle><jtitle>European journal of preventive cardiology</jtitle><addtitle>Eur J Cardiovasc Prev Rehabil</addtitle><date>2014-11-01</date><risdate>2014</risdate><volume>21</volume><issue>11</issue><spage>1387</spage><epage>1393</epage><pages>1387-1393</pages><issn>2047-4873</issn><eissn>2047-4881</eissn><abstract>Background
The relation between body mass index (BMI) and coronary artery disease (CAD) extension remains controversial. The aim of this study was to evaluate the correlation between BMI and CAD extension documented by coronary computed tomography angiography (CCTA).
Methods and results
Prospective registry including 1706 consecutive stable patients that performed CCTA (dual source scanner) for the evaluation of CAD. The population was stratified by BMI: normal 530 (31.1%), overweight 802 (47.0%) and obesity 374 (21.9%). BMI was significantly higher in patients with CAD (27.7 ± 4.3 vs 26.8 ± 4.3 kg/m2, p < 0.001); these patients were also older, more often male and had higher prevalence of diabetes, hypertension and dyslipidemia. By multivariate analysis (logistic regression) BMI remains an independent predictor of CAD (odds ratio (OR) 1.03, 95% confidence interval (CI) 1.01–1.06; p = 0.012). Regarding the severity of CAD, BMI was not significantly different among patients with and without obstructive CAD (27.7 ± 4.3 vs 27.2 ± 4.3 kg/m2, p = 0.120). In 319 patients (4516 segments; 4077 evaluable), a detailed atherosclerotic burden was evaluated and compared among BMI classes, defined according to the presence of plaque and the degree of stenosis. Obstructive CAD was identified in 16.9% of the patients and 45.1% had non-obstructive CAD. The discriminative threshold for high burden, established by the segment involvement score (SIS), was >5 segments with plaque (15.4% patients). The prevalence of SIS >5 among the BMI classes was: 18.7%, 13.7% and 13.6% for normal, overweight and obesity respectively (p values for the specific classes versus all other patients: 0.241, 0.450 and 0.663).
Conclusions
In this population of stable patients undergoing CCTA for suspected CAD, BMI was an independent predictor of its presence, but was not correlated with the coronary disease severity.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>23774273</pmid><doi>10.1177/2047487313494291</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; SAGE Complete; Alma/SFX Local Collection |
| subjects | Aged Biological and medical sciences Body Mass Index Cardiology. Vascular system Comorbidity Coronary Angiography - methods Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - epidemiology Coronary heart disease Coronary Stenosis - diagnostic imaging Coronary Stenosis - epidemiology Coronary Vessels - diagnostic imaging Female Heart Humans Logistic Models Male Medical sciences Middle Aged Multivariate Analysis Obesity - diagnosis Obesity - epidemiology Odds Ratio Plaque, Atherosclerotic Portugal - epidemiology Predictive Value of Tests Prevalence Prospective Studies Registries Risk Factors Severity of Illness Index Tomography, X-Ray Computed |
| title | Body mass index as a predictor of the presence but not the severity of coronary artery disease evaluated by cardiac computed tomography |
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