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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Veröffentlicht in:PloS one 2017-07, Vol.12 (7), p.e0180376-e0180376
Hauptverfasser: Zou, Kun, Xiao, Fu-Kun, Li, Hong-Ying, Zhou, Qiao, Ban, Lu, Yang, Min, Kuo, Chang-Fu, Zhang, Weiya
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Xiao, Fu-Kun
Li, Hong-Ying
Zhou, Qiao
Ban, Lu
Yang, Min
Kuo, Chang-Fu
Zhang, Weiya
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.
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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><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 &amp; numerical data ; Humans ; Ischemia ; Logistic Models ; Male ; Medical records ; Medical Records - statistics &amp; 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. 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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 &amp; numerical data</subject><subject>Humans</subject><subject>Ischemia</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical records</subject><subject>Medical Records - statistics &amp; 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 ; 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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>
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identifier ISSN: 1932-6203
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1932-6203
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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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