Risk of cardiovascular disease in Chinese patients with rheumatoid arthritis: A cross-sectional study based on hospital medical records in 10 years
Though the risk of cardiovascular disease (CVD) in rheumatoid arthritis (RA) has been established in Western population, little is known about the risk in Chinese people with RA. Our objective was to estimate the risk of CVD in Chinese people with RA using hospital medical records data. The inpatien...
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description | Though the risk of cardiovascular disease (CVD) in rheumatoid arthritis (RA) has been established in Western population, little is known about the risk in Chinese people with RA. Our objective was to estimate the risk of CVD in Chinese people with RA using hospital medical records data.
The inpatients medical record database 2005-2015 of Sichuan provincial people's hospital was examined. All individuals with a primary diagnosis of RA were included as cases, and those of osteoarthritis (OA) were included as controls, which consisted of the unmatched dataset. Then, RA cases and OA controls were matched by sex and age at 1:1 ratio, forming the matched dataset. The morbidity of CVD (including ischemia heart disease (IHD), congestive heart failure (CHF), et al), stroke and arthrosclerosis were extracted from the database, so as the demographic data and comorbidities related to CVD. Multiple logistic regression analysis was used to estimate the risk of CVD in RA adjusted for demographics and comorbidities using the unmatched dataset. Sensitivity analysis was conducted 1) considering interaction terms between RA and comorbidities, and 2) using multivariable conditional logistic regression for the matched dataset.
The unmatched dataset comprised of 1824RA cases and 1995 OA controls and the matched dataset comprised of 1022 pairs of sex and age matched RA and OA patients. RA exhibited increased odds of prevalent CVD compared with OA, and the adjusted ORs (95%CIs) for CVD, stroke, IHD, CHF, and atherosclerosis were1.86(1.42-2.43), 1.11(0.71-1.74), 1.47(0.97-2.24), 2.09(1.03-4.22), and 2.49 (1.97-3.13), respectively, and was 2.26 (1.29-3.96)for IHD further adjusted for interaction term. The matched dataset analysis found similar results.
Chinese people with RA were approximated 2 times more likely to have CVD, IHD, CHF and atherosclerosis compared with those with OA. The findings justified the need of further longitudinal study to establish the causal-relationship between RA and CVD and to estimate the precise risk in this population. |
doi_str_mv | 10.1371/journal.pone.0180376 |
format | Article |
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The inpatients medical record database 2005-2015 of Sichuan provincial people's hospital was examined. All individuals with a primary diagnosis of RA were included as cases, and those of osteoarthritis (OA) were included as controls, which consisted of the unmatched dataset. Then, RA cases and OA controls were matched by sex and age at 1:1 ratio, forming the matched dataset. The morbidity of CVD (including ischemia heart disease (IHD), congestive heart failure (CHF), et al), stroke and arthrosclerosis were extracted from the database, so as the demographic data and comorbidities related to CVD. Multiple logistic regression analysis was used to estimate the risk of CVD in RA adjusted for demographics and comorbidities using the unmatched dataset. Sensitivity analysis was conducted 1) considering interaction terms between RA and comorbidities, and 2) using multivariable conditional logistic regression for the matched dataset.
The unmatched dataset comprised of 1824RA cases and 1995 OA controls and the matched dataset comprised of 1022 pairs of sex and age matched RA and OA patients. RA exhibited increased odds of prevalent CVD compared with OA, and the adjusted ORs (95%CIs) for CVD, stroke, IHD, CHF, and atherosclerosis were1.86(1.42-2.43), 1.11(0.71-1.74), 1.47(0.97-2.24), 2.09(1.03-4.22), and 2.49 (1.97-3.13), respectively, and was 2.26 (1.29-3.96)for IHD further adjusted for interaction term. The matched dataset analysis found similar results.
Chinese people with RA were approximated 2 times more likely to have CVD, IHD, CHF and atherosclerosis compared with those with OA. The findings justified the need of further longitudinal study to establish the causal-relationship between RA and CVD and to estimate the precise risk in this population.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0180376</identifier><identifier>PMID: 28678807</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adjustment ; Adult ; Aged ; Aged, 80 and over ; Approximation ; Arteriosclerosis ; Arthritis ; Arthritis, Rheumatoid - epidemiology ; Arthritis, Rheumatoid - ethnology ; Asian Continental Ancestry Group ; Atherosclerosis ; Biocompatibility ; Biology and Life Sciences ; Biomedical materials ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - ethnology ; China - epidemiology ; Chronic obstructive pulmonary disease ; Comorbidity ; Complications and side effects ; Congestive heart failure ; Coronary artery disease ; Correlation analysis ; Cross-Sectional Studies ; Demographics ; Demography ; Development and progression ; Diabetes ; Diagnosis ; Female ; Health risk assessment ; Heart ; Hospital Records - statistics & numerical data ; Humans ; Ischemia ; Logistic Models ; Male ; Medical records ; Medical Records - statistics & numerical data ; Medicine and Health Sciences ; Middle Aged ; Morbidity ; Multivariate Analysis ; Osteoarthritis ; Patients ; People and Places ; Prevalence ; Regression analysis ; Rheumatoid arthritis ; Risk ; Risk Factors ; Sensitivity analysis ; Sex ; Stroke ; Time Factors</subject><ispartof>PloS one, 2017-07, Vol.12 (7), p.e0180376-e0180376</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Zou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Zou et al 2017 Zou et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-2c9231589ac0aeb12895a216537eea2b0d7d188d4b013568ca6be8e85b1c78833</citedby><cites>FETCH-LOGICAL-c692t-2c9231589ac0aeb12895a216537eea2b0d7d188d4b013568ca6be8e85b1c78833</cites><orcidid>0000-0002-2175-2231</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498026/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498026/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28678807$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Feng, Ying-Mei</contributor><creatorcontrib>Zou, Kun</creatorcontrib><creatorcontrib>Xiao, Fu-Kun</creatorcontrib><creatorcontrib>Li, Hong-Ying</creatorcontrib><creatorcontrib>Zhou, Qiao</creatorcontrib><creatorcontrib>Ban, Lu</creatorcontrib><creatorcontrib>Yang, Min</creatorcontrib><creatorcontrib>Kuo, Chang-Fu</creatorcontrib><creatorcontrib>Zhang, Weiya</creatorcontrib><title>Risk of cardiovascular disease in Chinese patients with rheumatoid arthritis: A cross-sectional study based on hospital medical records in 10 years</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Though the risk of cardiovascular disease (CVD) in rheumatoid arthritis (RA) has been established in Western population, little is known about the risk in Chinese people with RA. Our objective was to estimate the risk of CVD in Chinese people with RA using hospital medical records data.
The inpatients medical record database 2005-2015 of Sichuan provincial people's hospital was examined. All individuals with a primary diagnosis of RA were included as cases, and those of osteoarthritis (OA) were included as controls, which consisted of the unmatched dataset. Then, RA cases and OA controls were matched by sex and age at 1:1 ratio, forming the matched dataset. The morbidity of CVD (including ischemia heart disease (IHD), congestive heart failure (CHF), et al), stroke and arthrosclerosis were extracted from the database, so as the demographic data and comorbidities related to CVD. Multiple logistic regression analysis was used to estimate the risk of CVD in RA adjusted for demographics and comorbidities using the unmatched dataset. Sensitivity analysis was conducted 1) considering interaction terms between RA and comorbidities, and 2) using multivariable conditional logistic regression for the matched dataset.
The unmatched dataset comprised of 1824RA cases and 1995 OA controls and the matched dataset comprised of 1022 pairs of sex and age matched RA and OA patients. RA exhibited increased odds of prevalent CVD compared with OA, and the adjusted ORs (95%CIs) for CVD, stroke, IHD, CHF, and atherosclerosis were1.86(1.42-2.43), 1.11(0.71-1.74), 1.47(0.97-2.24), 2.09(1.03-4.22), and 2.49 (1.97-3.13), respectively, and was 2.26 (1.29-3.96)for IHD further adjusted for interaction term. The matched dataset analysis found similar results.
Chinese people with RA were approximated 2 times more likely to have CVD, IHD, CHF and atherosclerosis compared with those with OA. The findings justified the need of further longitudinal study to establish the causal-relationship between RA and CVD and to estimate the precise risk in this population.</description><subject>Adjustment</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Approximation</subject><subject>Arteriosclerosis</subject><subject>Arthritis</subject><subject>Arthritis, Rheumatoid - epidemiology</subject><subject>Arthritis, Rheumatoid - ethnology</subject><subject>Asian Continental Ancestry Group</subject><subject>Atherosclerosis</subject><subject>Biocompatibility</subject><subject>Biology and Life Sciences</subject><subject>Biomedical materials</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - ethnology</subject><subject>China - epidemiology</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Comorbidity</subject><subject>Complications and side effects</subject><subject>Congestive heart failure</subject><subject>Coronary artery disease</subject><subject>Correlation analysis</subject><subject>Cross-Sectional Studies</subject><subject>Demographics</subject><subject>Demography</subject><subject>Development and progression</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Heart</subject><subject>Hospital Records - statistics & numerical data</subject><subject>Humans</subject><subject>Ischemia</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical records</subject><subject>Medical Records - statistics & numerical data</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Multivariate Analysis</subject><subject>Osteoarthritis</subject><subject>Patients</subject><subject>People and Places</subject><subject>Prevalence</subject><subject>Regression analysis</subject><subject>Rheumatoid arthritis</subject><subject>Risk</subject><subject>Risk Factors</subject><subject>Sensitivity analysis</subject><subject>Sex</subject><subject>Stroke</subject><subject>Time Factors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tuEzEQhlcIREvgDRBYQkJwkWB7D_ZygRRFHCJVqlQOt9asPcm6bNap7S3kOXhhnCatEtQLtBe2xt_8c9iZLHvO6ITlgr27dIPvoZusXY8TyiTNRfUgO2V1zscVp_nDg_tJ9iSES0rLXFbV4-yEy0pIScVp9ufChp_ELYgGb6y7hqCHDjwxNiAEJLYns9b2mK5riBb7GMgvG1viWxxWEJ01BHxsvY02vCdTor0LYRxQR-tSeiTEwWxIk7QMcT1pXVjbmOwrNFan06N23oRtIEbJBsGHp9mjBXQBn-3PUfb908dvsy_js_PP89n0bKyrmscx1zXPWSlr0BSwYVzWJXBWlblABN5QIwyT0hQNZXlZSQ1VgxJl2TCdqs_zUfZyp7vuXFD7fgbF6qRBa56QUTbfEcbBpVp7uwK_UQ6sujE4v1SpeKs7VA1DqDhvSsCy0MYAE6zUQpuS0aZiRdL6sI82NKl4nVrpoTsSPX7pbauW7lqVRS0pr5LAm72Ad1cDhqhWNmjsOujRDbu8BctpwRL66h_0_ur21BJSAbZfuBRXb0XVtKiFEFTIbd6Te6j0GVxZnYZvYZP9yOHtkUNiIv6OSxhCUPOvF__Pnv84Zl8fsC1CF9vgumE7aOEYLHbgzSx6XNw1mVG13Z3bbqjt7qj97iS3F4c_6M7pdlnyv4NjFhs</recordid><startdate>20170705</startdate><enddate>20170705</enddate><creator>Zou, Kun</creator><creator>Xiao, Fu-Kun</creator><creator>Li, Hong-Ying</creator><creator>Zhou, Qiao</creator><creator>Ban, Lu</creator><creator>Yang, Min</creator><creator>Kuo, Chang-Fu</creator><creator>Zhang, Weiya</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2175-2231</orcidid></search><sort><creationdate>20170705</creationdate><title>Risk of cardiovascular disease in Chinese patients with rheumatoid arthritis: A cross-sectional study based on hospital medical records in 10 years</title><author>Zou, Kun ; Xiao, Fu-Kun ; Li, Hong-Ying ; Zhou, Qiao ; Ban, Lu ; Yang, Min ; Kuo, Chang-Fu ; Zhang, Weiya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-2c9231589ac0aeb12895a216537eea2b0d7d188d4b013568ca6be8e85b1c78833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adjustment</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Approximation</topic><topic>Arteriosclerosis</topic><topic>Arthritis</topic><topic>Arthritis, Rheumatoid - epidemiology</topic><topic>Arthritis, Rheumatoid - ethnology</topic><topic>Asian Continental Ancestry Group</topic><topic>Atherosclerosis</topic><topic>Biocompatibility</topic><topic>Biology and Life Sciences</topic><topic>Biomedical materials</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Cardiovascular Diseases - ethnology</topic><topic>China - epidemiology</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Comorbidity</topic><topic>Complications and side effects</topic><topic>Congestive heart failure</topic><topic>Coronary artery disease</topic><topic>Correlation analysis</topic><topic>Cross-Sectional Studies</topic><topic>Demographics</topic><topic>Demography</topic><topic>Development and progression</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Heart</topic><topic>Hospital Records - statistics & numerical data</topic><topic>Humans</topic><topic>Ischemia</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical records</topic><topic>Medical Records - statistics & numerical data</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Morbidity</topic><topic>Multivariate Analysis</topic><topic>Osteoarthritis</topic><topic>Patients</topic><topic>People and Places</topic><topic>Prevalence</topic><topic>Regression analysis</topic><topic>Rheumatoid arthritis</topic><topic>Risk</topic><topic>Risk Factors</topic><topic>Sensitivity analysis</topic><topic>Sex</topic><topic>Stroke</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zou, Kun</creatorcontrib><creatorcontrib>Xiao, Fu-Kun</creatorcontrib><creatorcontrib>Li, Hong-Ying</creatorcontrib><creatorcontrib>Zhou, Qiao</creatorcontrib><creatorcontrib>Ban, Lu</creatorcontrib><creatorcontrib>Yang, Min</creatorcontrib><creatorcontrib>Kuo, Chang-Fu</creatorcontrib><creatorcontrib>Zhang, Weiya</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</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>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zou, Kun</au><au>Xiao, Fu-Kun</au><au>Li, Hong-Ying</au><au>Zhou, Qiao</au><au>Ban, Lu</au><au>Yang, Min</au><au>Kuo, Chang-Fu</au><au>Zhang, Weiya</au><au>Feng, Ying-Mei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk of cardiovascular disease in Chinese patients with rheumatoid arthritis: A cross-sectional study based on hospital medical records in 10 years</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-07-05</date><risdate>2017</risdate><volume>12</volume><issue>7</issue><spage>e0180376</spage><epage>e0180376</epage><pages>e0180376-e0180376</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Though the risk of cardiovascular disease (CVD) in rheumatoid arthritis (RA) has been established in Western population, little is known about the risk in Chinese people with RA. Our objective was to estimate the risk of CVD in Chinese people with RA using hospital medical records data.
The inpatients medical record database 2005-2015 of Sichuan provincial people's hospital was examined. All individuals with a primary diagnosis of RA were included as cases, and those of osteoarthritis (OA) were included as controls, which consisted of the unmatched dataset. Then, RA cases and OA controls were matched by sex and age at 1:1 ratio, forming the matched dataset. The morbidity of CVD (including ischemia heart disease (IHD), congestive heart failure (CHF), et al), stroke and arthrosclerosis were extracted from the database, so as the demographic data and comorbidities related to CVD. Multiple logistic regression analysis was used to estimate the risk of CVD in RA adjusted for demographics and comorbidities using the unmatched dataset. Sensitivity analysis was conducted 1) considering interaction terms between RA and comorbidities, and 2) using multivariable conditional logistic regression for the matched dataset.
The unmatched dataset comprised of 1824RA cases and 1995 OA controls and the matched dataset comprised of 1022 pairs of sex and age matched RA and OA patients. RA exhibited increased odds of prevalent CVD compared with OA, and the adjusted ORs (95%CIs) for CVD, stroke, IHD, CHF, and atherosclerosis were1.86(1.42-2.43), 1.11(0.71-1.74), 1.47(0.97-2.24), 2.09(1.03-4.22), and 2.49 (1.97-3.13), respectively, and was 2.26 (1.29-3.96)for IHD further adjusted for interaction term. The matched dataset analysis found similar results.
Chinese people with RA were approximated 2 times more likely to have CVD, IHD, CHF and atherosclerosis compared with those with OA. The findings justified the need of further longitudinal study to establish the causal-relationship between RA and CVD and to estimate the precise risk in this population.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28678807</pmid><doi>10.1371/journal.pone.0180376</doi><tpages>e0180376</tpages><orcidid>https://orcid.org/0000-0002-2175-2231</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-07, Vol.12 (7), p.e0180376-e0180376 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1916509288 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adjustment Adult Aged Aged, 80 and over Approximation Arteriosclerosis Arthritis Arthritis, Rheumatoid - epidemiology Arthritis, Rheumatoid - ethnology Asian Continental Ancestry Group Atherosclerosis Biocompatibility Biology and Life Sciences Biomedical materials Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - epidemiology Cardiovascular Diseases - ethnology China - epidemiology Chronic obstructive pulmonary disease Comorbidity Complications and side effects Congestive heart failure Coronary artery disease Correlation analysis Cross-Sectional Studies Demographics Demography Development and progression Diabetes Diagnosis Female Health risk assessment Heart Hospital Records - statistics & numerical data Humans Ischemia Logistic Models Male Medical records Medical Records - statistics & numerical data Medicine and Health Sciences Middle Aged Morbidity Multivariate Analysis Osteoarthritis Patients People and Places Prevalence Regression analysis Rheumatoid arthritis Risk Risk Factors Sensitivity analysis Sex Stroke Time Factors |
title | Risk of cardiovascular disease in Chinese patients with rheumatoid arthritis: A cross-sectional study based on hospital medical records in 10 years |
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