Predictors of Coronary Artery Disease in Patients with Behçet's Disease
Background: Behçet's disease (BD) is a multisystem vasculitis of unknown etiology. We aimed to determine the prevalence and predictors of coronary artery disease (CAD) in patients with BD. Methods: All adult patients diagnosed with BD from the National Inpatient Sample database using the Intern...
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| Veröffentlicht in: | Cardiology 2014-01, Vol.129 (4), p.203-206 |
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| creator | Pandey, Ambarish Garg, Jalaj Krishnamoorthy, Parasuram Palaniswamy, Chandrasekar Doshi, Jay Lanier, Gregg Ahmad, Hasan |
| description | Background: Behçet's disease (BD) is a multisystem vasculitis of unknown etiology. We aimed to determine the prevalence and predictors of coronary artery disease (CAD) in patients with BD. Methods: All adult patients diagnosed with BD from the National Inpatient Sample database using the International Classification of Diseases 9th revision (ICD-9 code 136.1) during 2009-2010 were included in the analysis. We analyzed the demographics, traditional risk factors, prevalence, and predictors of CAD in patients with BD using ICD-9 codes. Results: The prevalence of BD among adults was 0.006% (n = 2,540) of all in-hospital admissions in the USA. The mean age was 43.9 years, with women (45 years) being older than men (40 years) (p < 0.001). Traditional risk factors prevalent in our study were hypertension (35%), hyperlipidemia (17.4%), diabetes mellitus (13.8%), smoking (13.1%), and obesity (7.2%). The prevalence of CAD was 12.1%. Hypertension (OR = 2.20, p = 0.03) and hyperlipidemia (OR = 2.34, p = 0.02) were found to be independent predictors of CAD in a multimodel regression analysis. Conclusion: In patients with BD, traditional risk factors associated with CAD were similar to what is expected in the overall population. However, the young age of patients with CAD in this population suggests an accelerated course of atherosclerosis in BD. |
| doi_str_mv | 10.1159/000365139 |
| format | Article |
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We aimed to determine the prevalence and predictors of coronary artery disease (CAD) in patients with BD. Methods: All adult patients diagnosed with BD from the National Inpatient Sample database using the International Classification of Diseases 9th revision (ICD-9 code 136.1) during 2009-2010 were included in the analysis. We analyzed the demographics, traditional risk factors, prevalence, and predictors of CAD in patients with BD using ICD-9 codes. Results: The prevalence of BD among adults was 0.006% (n = 2,540) of all in-hospital admissions in the USA. The mean age was 43.9 years, with women (45 years) being older than men (40 years) (p < 0.001). Traditional risk factors prevalent in our study were hypertension (35%), hyperlipidemia (17.4%), diabetes mellitus (13.8%), smoking (13.1%), and obesity (7.2%). The prevalence of CAD was 12.1%. Hypertension (OR = 2.20, p = 0.03) and hyperlipidemia (OR = 2.34, p = 0.02) were found to be independent predictors of CAD in a multimodel regression analysis. Conclusion: In patients with BD, traditional risk factors associated with CAD were similar to what is expected in the overall population. However, the young age of patients with CAD in this population suggests an accelerated course of atherosclerosis in BD.</description><identifier>ISSN: 0008-6312</identifier><identifier>EISSN: 1421-9751</identifier><identifier>DOI: 10.1159/000365139</identifier><identifier>PMID: 25342118</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Adult ; Behcet Syndrome - complications ; Behcet Syndrome - epidemiology ; Cardiovascular disease ; Coronary Artery Disease - epidemiology ; Coronary Artery Disease - etiology ; Coronary vessels ; Female ; Humans ; Male ; Prevalence ; Prognosis ; Retrospective Studies ; Risk Factors ; Short Communication ; United States - epidemiology ; Veins & arteries</subject><ispartof>Cardiology, 2014-01, Vol.129 (4), p.203-206</ispartof><rights>2014 S. Karger AG, Basel</rights><rights>Copyright (c) 2014 S. Karger AG, Basel</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-2456188f923f350f01a5ea9af2052ce15139b79d0d8d9e56a1da4068dfc228c63</citedby><cites>FETCH-LOGICAL-c362t-2456188f923f350f01a5ea9af2052ce15139b79d0d8d9e56a1da4068dfc228c63</cites><orcidid>0000-0002-4560-7346</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2429,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25342118$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pandey, Ambarish</creatorcontrib><creatorcontrib>Garg, Jalaj</creatorcontrib><creatorcontrib>Krishnamoorthy, Parasuram</creatorcontrib><creatorcontrib>Palaniswamy, Chandrasekar</creatorcontrib><creatorcontrib>Doshi, Jay</creatorcontrib><creatorcontrib>Lanier, Gregg</creatorcontrib><creatorcontrib>Ahmad, Hasan</creatorcontrib><title>Predictors of Coronary Artery Disease in Patients with Behçet's Disease</title><title>Cardiology</title><addtitle>Cardiology</addtitle><description>Background: Behçet's disease (BD) is a multisystem vasculitis of unknown etiology. We aimed to determine the prevalence and predictors of coronary artery disease (CAD) in patients with BD. Methods: All adult patients diagnosed with BD from the National Inpatient Sample database using the International Classification of Diseases 9th revision (ICD-9 code 136.1) during 2009-2010 were included in the analysis. We analyzed the demographics, traditional risk factors, prevalence, and predictors of CAD in patients with BD using ICD-9 codes. Results: The prevalence of BD among adults was 0.006% (n = 2,540) of all in-hospital admissions in the USA. The mean age was 43.9 years, with women (45 years) being older than men (40 years) (p < 0.001). Traditional risk factors prevalent in our study were hypertension (35%), hyperlipidemia (17.4%), diabetes mellitus (13.8%), smoking (13.1%), and obesity (7.2%). The prevalence of CAD was 12.1%. Hypertension (OR = 2.20, p = 0.03) and hyperlipidemia (OR = 2.34, p = 0.02) were found to be independent predictors of CAD in a multimodel regression analysis. Conclusion: In patients with BD, traditional risk factors associated with CAD were similar to what is expected in the overall population. However, the young age of patients with CAD in this population suggests an accelerated course of atherosclerosis in BD.</description><subject>Adult</subject><subject>Behcet Syndrome - complications</subject><subject>Behcet Syndrome - epidemiology</subject><subject>Cardiovascular disease</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary Artery Disease - etiology</subject><subject>Coronary vessels</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Prevalence</subject><subject>Prognosis</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Short Communication</subject><subject>United States - epidemiology</subject><subject>Veins & arteries</subject><issn>0008-6312</issn><issn>1421-9751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</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>eNpt0M1KAzEQB_Agiq3Vg3eRBQ_qYTUfm93kWFu1QsEiel7SzcRubTc12UV8Ih_EFzOlH4J4Gib8mMn8ETom-IoQLq8xxizlhMkd1CYJJbHMONlF7fAu4pQR2kIH3k9Dm2QJ3UctyllgRLTRYORAl0VtnY-siXrW2Uq5z6jragilX3pQHqKyikaqLqGqffRR1pPoBibfX1Cf-w05RHtGzTwcrWsHvdzdPvcG8fDx_qHXHcYFS2kd04SnRAgjKTOMY4OJ4qCkMhRzWgBZXjHOpMZaaAk8VUSrBKdCm4JSUaSsgy5WcxfOvjfg63xe-gJmM1WBbXxO0nBaRmiGAz37Q6e2cVX4XVCJYJInfKkuV6pw1nsHJl-4ch4yyAnOl_Hm23iDPV1PbMZz0Fu5yfN35Ztyr-C2oPfUX43IF9oEdfKvWm_5Adx-h5c</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Pandey, Ambarish</creator><creator>Garg, Jalaj</creator><creator>Krishnamoorthy, Parasuram</creator><creator>Palaniswamy, Chandrasekar</creator><creator>Doshi, Jay</creator><creator>Lanier, Gregg</creator><creator>Ahmad, Hasan</creator><general>S. Karger AG</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>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4560-7346</orcidid></search><sort><creationdate>20140101</creationdate><title>Predictors of Coronary Artery Disease in Patients with Behçet's Disease</title><author>Pandey, Ambarish ; Garg, Jalaj ; Krishnamoorthy, Parasuram ; Palaniswamy, Chandrasekar ; Doshi, Jay ; Lanier, Gregg ; Ahmad, Hasan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-2456188f923f350f01a5ea9af2052ce15139b79d0d8d9e56a1da4068dfc228c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Behcet Syndrome - complications</topic><topic>Behcet Syndrome - epidemiology</topic><topic>Cardiovascular disease</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary Artery Disease - etiology</topic><topic>Coronary vessels</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Prevalence</topic><topic>Prognosis</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Short Communication</topic><topic>United States - epidemiology</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pandey, Ambarish</creatorcontrib><creatorcontrib>Garg, Jalaj</creatorcontrib><creatorcontrib>Krishnamoorthy, Parasuram</creatorcontrib><creatorcontrib>Palaniswamy, Chandrasekar</creatorcontrib><creatorcontrib>Doshi, Jay</creatorcontrib><creatorcontrib>Lanier, Gregg</creatorcontrib><creatorcontrib>Ahmad, Hasan</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 China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pandey, Ambarish</au><au>Garg, Jalaj</au><au>Krishnamoorthy, Parasuram</au><au>Palaniswamy, Chandrasekar</au><au>Doshi, Jay</au><au>Lanier, Gregg</au><au>Ahmad, Hasan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of Coronary Artery Disease in Patients with Behçet's Disease</atitle><jtitle>Cardiology</jtitle><addtitle>Cardiology</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>129</volume><issue>4</issue><spage>203</spage><epage>206</epage><pages>203-206</pages><issn>0008-6312</issn><eissn>1421-9751</eissn><abstract>Background: Behçet's disease (BD) is a multisystem vasculitis of unknown etiology. We aimed to determine the prevalence and predictors of coronary artery disease (CAD) in patients with BD. Methods: All adult patients diagnosed with BD from the National Inpatient Sample database using the International Classification of Diseases 9th revision (ICD-9 code 136.1) during 2009-2010 were included in the analysis. We analyzed the demographics, traditional risk factors, prevalence, and predictors of CAD in patients with BD using ICD-9 codes. Results: The prevalence of BD among adults was 0.006% (n = 2,540) of all in-hospital admissions in the USA. The mean age was 43.9 years, with women (45 years) being older than men (40 years) (p < 0.001). Traditional risk factors prevalent in our study were hypertension (35%), hyperlipidemia (17.4%), diabetes mellitus (13.8%), smoking (13.1%), and obesity (7.2%). The prevalence of CAD was 12.1%. Hypertension (OR = 2.20, p = 0.03) and hyperlipidemia (OR = 2.34, p = 0.02) were found to be independent predictors of CAD in a multimodel regression analysis. Conclusion: In patients with BD, traditional risk factors associated with CAD were similar to what is expected in the overall population. However, the young age of patients with CAD in this population suggests an accelerated course of atherosclerosis in BD.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>25342118</pmid><doi>10.1159/000365139</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-4560-7346</orcidid></addata></record> |
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| ispartof | Cardiology, 2014-01, Vol.129 (4), p.203-206 |
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| source | MEDLINE; Karger Journals |
| subjects | Adult Behcet Syndrome - complications Behcet Syndrome - epidemiology Cardiovascular disease Coronary Artery Disease - epidemiology Coronary Artery Disease - etiology Coronary vessels Female Humans Male Prevalence Prognosis Retrospective Studies Risk Factors Short Communication United States - epidemiology Veins & arteries |
| title | Predictors of Coronary Artery Disease in Patients with Behçet's Disease |
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