Effects of the shape of coronary arteries on the presence, extent, and severity of their disease
It is now known that a C-shaped right coronary artery (RCA) (C-RCA) is associated with more atherosclerotic disease than a sigma-shaped RCA (S-RCA). This study was designed to investigate the relationship between the shape of the RCA and the presence, extent, and severity of coronary artery disease...
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Veröffentlicht in: | Heart and vessels 2005-09, Vol.20 (5), p.224-229 |
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description | It is now known that a C-shaped right coronary artery (RCA) (C-RCA) is associated with more atherosclerotic disease than a sigma-shaped RCA (S-RCA). This study was designed to investigate the relationship between the shape of the RCA and the presence, extent, and severity of coronary artery disease (CAD) in all coronary arteries. Two hundred and forty-five patients were divided into C-RCA (group 1, n = 161) and S-RCA (group 2, n = 84) groups. The vessel score, extent score, and Gensini score were higher in group 1 than in group 2 (P < 0.001 for all comparisons). In multivariate analyses, age (P = 0.001), male sex (P < 0.001), smoking (P = 0.002), and C-RCA (P < 0.001) were independent predictors of significant CAD (presence of at least one lesion causing at least >50% stenosis). Multiple linear regression analysis to predict vessel score identified C-RCA (P < 0.001), age (P = 0.004), and male sex (P = 0.020), to predict extent score identified C-RCA (P < 0.001), age (P = 0.005), and male sex (P = 0.003), and to predict Gensini score identified C-RCA (P < 0.001), male sex (P = 0.009), and dyslipidemia (P = 0.049) as independently associated variables. Sensitivity and specificity of C-RCA for detecting significant CAD were 79% and 46%, respectively. This study showed that C-RCA was an independent predictor of significant CAD, which was independently associated with vessel score, extent score, and Gensini score. However, it was not clinically useful, because it was not specific or sensitive enough to identify patients with significant CAD. |
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This study was designed to investigate the relationship between the shape of the RCA and the presence, extent, and severity of coronary artery disease (CAD) in all coronary arteries. Two hundred and forty-five patients were divided into C-RCA (group 1, n = 161) and S-RCA (group 2, n = 84) groups. The vessel score, extent score, and Gensini score were higher in group 1 than in group 2 (P < 0.001 for all comparisons). In multivariate analyses, age (P = 0.001), male sex (P < 0.001), smoking (P = 0.002), and C-RCA (P < 0.001) were independent predictors of significant CAD (presence of at least one lesion causing at least >50% stenosis). Multiple linear regression analysis to predict vessel score identified C-RCA (P < 0.001), age (P = 0.004), and male sex (P = 0.020), to predict extent score identified C-RCA (P < 0.001), age (P = 0.005), and male sex (P = 0.003), and to predict Gensini score identified C-RCA (P < 0.001), male sex (P = 0.009), and dyslipidemia (P = 0.049) as independently associated variables. Sensitivity and specificity of C-RCA for detecting significant CAD were 79% and 46%, respectively. This study showed that C-RCA was an independent predictor of significant CAD, which was independently associated with vessel score, extent score, and Gensini score. However, it was not clinically useful, because it was not specific or sensitive enough to identify patients with significant CAD.]]></description><identifier>ISSN: 0910-8327</identifier><identifier>EISSN: 1615-2573</identifier><identifier>DOI: 10.1007/s00380-005-0837-5</identifier><identifier>PMID: 16160905</identifier><identifier>CODEN: HEVEEO</identifier><language>eng</language><publisher>Japan: Springer Nature B.V</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Coronary Angiography ; Coronary Disease - diagnostic imaging ; Coronary Disease - pathology ; Coronary vessels ; Coronary Vessels - pathology ; Disease ; Female ; Humans ; Linear Models ; Male ; Middle Aged ; Multivariate analysis ; Risk Factors ; Sensitivity and Specificity ; Severity of Illness Index ; Statistics, Nonparametric</subject><ispartof>Heart and vessels, 2005-09, Vol.20 (5), p.224-229</ispartof><rights>Springer-Verlag Tokyo 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c350t-a99aa4b1dfa34dae42b7c57c6d3e87d9c728d8ebb0cc4e261db7bcf1789738f13</citedby><cites>FETCH-LOGICAL-c350t-a99aa4b1dfa34dae42b7c57c6d3e87d9c728d8ebb0cc4e261db7bcf1789738f13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16160905$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Demirbag, Recep</creatorcontrib><creatorcontrib>Yilmaz, Remzi</creatorcontrib><title>Effects of the shape of coronary arteries on the presence, extent, and severity of their disease</title><title>Heart and vessels</title><addtitle>Heart Vessels</addtitle><description><![CDATA[It is now known that a C-shaped right coronary artery (RCA) (C-RCA) is associated with more atherosclerotic disease than a sigma-shaped RCA (S-RCA). This study was designed to investigate the relationship between the shape of the RCA and the presence, extent, and severity of coronary artery disease (CAD) in all coronary arteries. Two hundred and forty-five patients were divided into C-RCA (group 1, n = 161) and S-RCA (group 2, n = 84) groups. The vessel score, extent score, and Gensini score were higher in group 1 than in group 2 (P < 0.001 for all comparisons). In multivariate analyses, age (P = 0.001), male sex (P < 0.001), smoking (P = 0.002), and C-RCA (P < 0.001) were independent predictors of significant CAD (presence of at least one lesion causing at least >50% stenosis). Multiple linear regression analysis to predict vessel score identified C-RCA (P < 0.001), age (P = 0.004), and male sex (P = 0.020), to predict extent score identified C-RCA (P < 0.001), age (P = 0.005), and male sex (P = 0.003), and to predict Gensini score identified C-RCA (P < 0.001), male sex (P = 0.009), and dyslipidemia (P = 0.049) as independently associated variables. Sensitivity and specificity of C-RCA for detecting significant CAD were 79% and 46%, respectively. This study showed that C-RCA was an independent predictor of significant CAD, which was independently associated with vessel score, extent score, and Gensini score. However, it was not clinically useful, because it was not specific or sensitive enough to identify patients with significant CAD.]]></description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Coronary Angiography</subject><subject>Coronary Disease - diagnostic imaging</subject><subject>Coronary Disease - pathology</subject><subject>Coronary vessels</subject><subject>Coronary Vessels - pathology</subject><subject>Disease</subject><subject>Female</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><subject>Statistics, Nonparametric</subject><issn>0910-8327</issn><issn>1615-2573</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkF1LwzAUhoMoOqc_wBspXni16knTNMmljPkBA2_0OqbJKevY2pq04v69mSsIXh1eeN6Xw0PIFYU7CiDuAwCTkALwFCQTKT8iE1pQnmZcsGMyAUUhlSwTZ-Q8hDUA5YqqU3IWoQIU8An5WFQV2j4kbZX0K0zCynS4D7b1bWP8LjG-R19jJJpfovMYsLE4S_C7x6afJaZxScCvSPW7caf2iasDmoAX5KQym4CX452S98fF2_w5Xb4-vcwflqllHPrUKGVMXlJXGZY7g3lWCsuFLRxDKZyyIpNOYlmCtTlmBXWlKG1FhVSCyYqyKbk97Ha-_Rww9HpbB4ubjWmwHYIuZHQCuYjgzT9w3Q6-ib9pqgoFMi9YhOgBsr4NwWOlO19vow5NQe_d64N7Hd3rvXvNY-d6HB7KLbq_xiib_QCZ63_G</recordid><startdate>20050901</startdate><enddate>20050901</enddate><creator>Demirbag, Recep</creator><creator>Yilmaz, Remzi</creator><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20050901</creationdate><title>Effects of the shape of coronary arteries on the presence, extent, and severity of their disease</title><author>Demirbag, Recep ; Yilmaz, Remzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-a99aa4b1dfa34dae42b7c57c6d3e87d9c728d8ebb0cc4e261db7bcf1789738f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Coronary Angiography</topic><topic>Coronary Disease - diagnostic imaging</topic><topic>Coronary Disease - pathology</topic><topic>Coronary vessels</topic><topic>Coronary Vessels - pathology</topic><topic>Disease</topic><topic>Female</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Severity of Illness Index</topic><topic>Statistics, Nonparametric</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Demirbag, Recep</creatorcontrib><creatorcontrib>Yilmaz, Remzi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Heart and vessels</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Demirbag, Recep</au><au>Yilmaz, Remzi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of the shape of coronary arteries on the presence, extent, and severity of their disease</atitle><jtitle>Heart and vessels</jtitle><addtitle>Heart Vessels</addtitle><date>2005-09-01</date><risdate>2005</risdate><volume>20</volume><issue>5</issue><spage>224</spage><epage>229</epage><pages>224-229</pages><issn>0910-8327</issn><eissn>1615-2573</eissn><coden>HEVEEO</coden><abstract><![CDATA[It is now known that a C-shaped right coronary artery (RCA) (C-RCA) is associated with more atherosclerotic disease than a sigma-shaped RCA (S-RCA). This study was designed to investigate the relationship between the shape of the RCA and the presence, extent, and severity of coronary artery disease (CAD) in all coronary arteries. Two hundred and forty-five patients were divided into C-RCA (group 1, n = 161) and S-RCA (group 2, n = 84) groups. The vessel score, extent score, and Gensini score were higher in group 1 than in group 2 (P < 0.001 for all comparisons). In multivariate analyses, age (P = 0.001), male sex (P < 0.001), smoking (P = 0.002), and C-RCA (P < 0.001) were independent predictors of significant CAD (presence of at least one lesion causing at least >50% stenosis). Multiple linear regression analysis to predict vessel score identified C-RCA (P < 0.001), age (P = 0.004), and male sex (P = 0.020), to predict extent score identified C-RCA (P < 0.001), age (P = 0.005), and male sex (P = 0.003), and to predict Gensini score identified C-RCA (P < 0.001), male sex (P = 0.009), and dyslipidemia (P = 0.049) as independently associated variables. Sensitivity and specificity of C-RCA for detecting significant CAD were 79% and 46%, respectively. This study showed that C-RCA was an independent predictor of significant CAD, which was independently associated with vessel score, extent score, and Gensini score. However, it was not clinically useful, because it was not specific or sensitive enough to identify patients with significant CAD.]]></abstract><cop>Japan</cop><pub>Springer Nature B.V</pub><pmid>16160905</pmid><doi>10.1007/s00380-005-0837-5</doi><tpages>6</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Coronary Angiography Coronary Disease - diagnostic imaging Coronary Disease - pathology Coronary vessels Coronary Vessels - pathology Disease Female Humans Linear Models Male Middle Aged Multivariate analysis Risk Factors Sensitivity and Specificity Severity of Illness Index Statistics, Nonparametric |
title | Effects of the shape of coronary arteries on the presence, extent, and severity of their disease |
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