OP0279 Inconsistent Treatment with Disease-Modifying Anti-Rheumatic Drugs: A Longitudinal Data Analysis

Background Current recommendations advocate treatment with disease-modifying anti-rheumatic drugs (DMARDs) in all patients with active rheumatoid arthritis (RA). However, results from contemporary RA cohorts show that even in specialized rheumatology clinics, a proportion of patients are not treated...

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Veröffentlicht in:Annals of the rheumatic diseases 2014-06, Vol.73 (Suppl 2), p.167
Hauptverfasser: Mjaavatten, M.D., Radner, H., Yoshida, K., Shadick, N.A., Frits, M.L., Iannaccone, C.K., Kvien, T.K., Weinblatt, M.E., Solomon, D.H.
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container_issue Suppl 2
container_start_page 167
container_title Annals of the rheumatic diseases
container_volume 73
creator Mjaavatten, M.D.
Radner, H.
Yoshida, K.
Shadick, N.A.
Frits, M.L.
Iannaccone, C.K.
Kvien, T.K.
Weinblatt, M.E.
Solomon, D.H.
description Background Current recommendations advocate treatment with disease-modifying anti-rheumatic drugs (DMARDs) in all patients with active rheumatoid arthritis (RA). However, results from contemporary RA cohorts show that even in specialized rheumatology clinics, a proportion of patients are not treated with DMARDs. Objectives We investigated the frequency of and reasons for inconsistent DMARD use among patients in a clinical rheumatology cohort. Methods Patients in the Brigham Rheumatoid Arthritis Sequential Study were studied for DMARD use (any or none) at each semi-annual study time point during the first two study years. Inconsistent use was defined as DMARD use at ≤40% of study time points. Characteristics were compared between inconsistent and consistent users (>40%), and factors associated with inconsistent DMARD use were determined through multivariate logistic regression. A medical record review was performed to determine the reasons for inconsistent use. Results Of 848 patients with sufficient follow-up data, 55 (6.5%) were inconsistent DMARD users. Higher age, longer disease duration and rheumatoid factor negativity were statistically significant correlates of inconsistent use in the multivariate analyses (table). The primary reasons for inconsistent use identified through chart review, allowing for up to 2 co-primary reasons, were inactive disease (n=28, 50.9%), intolerance to DMARDs (n=18, 32.7%), patient preference (n=7, 12.7%), comorbidity (n=6, 10.9%), DMARDs not being effective (n=3, 5.5%), and pregnancy (n=3, 5.5%). During subsequent follow-up, 14/45 (31.1%) of inconsistent users with sufficient data became consistent users of DMARDs. Table 1. Logistic regression model for inconsistent DMARD use Baseline variable OR (95% CI) Age 1.03 (1.00–1.05) Female gender 1.12 (0.53–2.35) RA duration 1.03 (1.01–1.05) RF+ 0.20 (0.11–0.36) C statistics (95% CI) 0.74 (0.67–0.81) OR, odds ratio; CI, confidence interval; RA, rheumatoid arthritis; RF, rheumatoid factor. Conclusions A small proportion of RA patients in a clinical rheumatology cohort were inconsistent DMARD users during the first two years of follow up. Several patient factors correlate with inconsistent use, and many patients re-start DMARDs and become consistent users over time. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.2217
doi_str_mv 10.1136/annrheumdis-2014-eular.2217
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However, results from contemporary RA cohorts show that even in specialized rheumatology clinics, a proportion of patients are not treated with DMARDs. Objectives We investigated the frequency of and reasons for inconsistent DMARD use among patients in a clinical rheumatology cohort. Methods Patients in the Brigham Rheumatoid Arthritis Sequential Study were studied for DMARD use (any or none) at each semi-annual study time point during the first two study years. Inconsistent use was defined as DMARD use at ≤40% of study time points. Characteristics were compared between inconsistent and consistent users (&gt;40%), and factors associated with inconsistent DMARD use were determined through multivariate logistic regression. A medical record review was performed to determine the reasons for inconsistent use. Results Of 848 patients with sufficient follow-up data, 55 (6.5%) were inconsistent DMARD users. Higher age, longer disease duration and rheumatoid factor negativity were statistically significant correlates of inconsistent use in the multivariate analyses (table). The primary reasons for inconsistent use identified through chart review, allowing for up to 2 co-primary reasons, were inactive disease (n=28, 50.9%), intolerance to DMARDs (n=18, 32.7%), patient preference (n=7, 12.7%), comorbidity (n=6, 10.9%), DMARDs not being effective (n=3, 5.5%), and pregnancy (n=3, 5.5%). During subsequent follow-up, 14/45 (31.1%) of inconsistent users with sufficient data became consistent users of DMARDs. Table 1. Logistic regression model for inconsistent DMARD use Baseline variable OR (95% CI) Age 1.03 (1.00–1.05) Female gender 1.12 (0.53–2.35) RA duration 1.03 (1.01–1.05) RF+ 0.20 (0.11–0.36) C statistics (95% CI) 0.74 (0.67–0.81) OR, odds ratio; CI, confidence interval; RA, rheumatoid arthritis; RF, rheumatoid factor. Conclusions A small proportion of RA patients in a clinical rheumatology cohort were inconsistent DMARD users during the first two years of follow up. Several patient factors correlate with inconsistent use, and many patients re-start DMARDs and become consistent users over time. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.2217</description><identifier>ISSN: 0003-4967</identifier><identifier>EISSN: 1468-2060</identifier><identifier>DOI: 10.1136/annrheumdis-2014-eular.2217</identifier><identifier>CODEN: ARDIAO</identifier><language>eng</language><publisher>Kidlington: Elsevier Limited</publisher><ispartof>Annals of the rheumatic diseases, 2014-06, Vol.73 (Suppl 2), p.167</ispartof><rights>2014, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2014 (c) 2014, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ard.bmj.com/content/73/Suppl_2/167.2.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://ard.bmj.com/content/73/Suppl_2/167.2.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,3183,23550,27901,27902,77342,77373</link.rule.ids></links><search><creatorcontrib>Mjaavatten, M.D.</creatorcontrib><creatorcontrib>Radner, H.</creatorcontrib><creatorcontrib>Yoshida, K.</creatorcontrib><creatorcontrib>Shadick, N.A.</creatorcontrib><creatorcontrib>Frits, M.L.</creatorcontrib><creatorcontrib>Iannaccone, C.K.</creatorcontrib><creatorcontrib>Kvien, T.K.</creatorcontrib><creatorcontrib>Weinblatt, M.E.</creatorcontrib><creatorcontrib>Solomon, D.H.</creatorcontrib><title>OP0279 Inconsistent Treatment with Disease-Modifying Anti-Rheumatic Drugs: A Longitudinal Data Analysis</title><title>Annals of the rheumatic diseases</title><description>Background Current recommendations advocate treatment with disease-modifying anti-rheumatic drugs (DMARDs) in all patients with active rheumatoid arthritis (RA). However, results from contemporary RA cohorts show that even in specialized rheumatology clinics, a proportion of patients are not treated with DMARDs. Objectives We investigated the frequency of and reasons for inconsistent DMARD use among patients in a clinical rheumatology cohort. Methods Patients in the Brigham Rheumatoid Arthritis Sequential Study were studied for DMARD use (any or none) at each semi-annual study time point during the first two study years. Inconsistent use was defined as DMARD use at ≤40% of study time points. Characteristics were compared between inconsistent and consistent users (&gt;40%), and factors associated with inconsistent DMARD use were determined through multivariate logistic regression. A medical record review was performed to determine the reasons for inconsistent use. Results Of 848 patients with sufficient follow-up data, 55 (6.5%) were inconsistent DMARD users. Higher age, longer disease duration and rheumatoid factor negativity were statistically significant correlates of inconsistent use in the multivariate analyses (table). The primary reasons for inconsistent use identified through chart review, allowing for up to 2 co-primary reasons, were inactive disease (n=28, 50.9%), intolerance to DMARDs (n=18, 32.7%), patient preference (n=7, 12.7%), comorbidity (n=6, 10.9%), DMARDs not being effective (n=3, 5.5%), and pregnancy (n=3, 5.5%). During subsequent follow-up, 14/45 (31.1%) of inconsistent users with sufficient data became consistent users of DMARDs. Table 1. Logistic regression model for inconsistent DMARD use Baseline variable OR (95% CI) Age 1.03 (1.00–1.05) Female gender 1.12 (0.53–2.35) RA duration 1.03 (1.01–1.05) RF+ 0.20 (0.11–0.36) C statistics (95% CI) 0.74 (0.67–0.81) OR, odds ratio; CI, confidence interval; RA, rheumatoid arthritis; RF, rheumatoid factor. Conclusions A small proportion of RA patients in a clinical rheumatology cohort were inconsistent DMARD users during the first two years of follow up. Several patient factors correlate with inconsistent use, and many patients re-start DMARDs and become consistent users over time. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.2217</description><issn>0003-4967</issn><issn>1468-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqVkL1OwzAUhS0EEqXwDpE6u9hJaicwVS0_lYqKUJmtm9huXSVOsR2hbiy8KE9CQhlYme6Pzjn36kNoRMmY0oRdg7Vuq9paGo9jQlOs2grcOI4pP0EDmrKsWzNyigaEkASnOePn6ML7XTeSjGYDZFbPJOb518fnwpaN9cYHZUO0dgpC3XfvJmyjufEKvMJPjTT6YOwmmtpg8Et_G4Ipo7lrN_4mmkbLxm5MaKWxUEVzCNApoTp0uZfoTEPl1dVvHaLX-7v17BEvVw-L2XSJCxpzgosCZMbijOegC6V1rgqq1YSXJM95EQPjPOcJZFpONKNykjINnKWJBB0TLpNkiEbH3L1r3lrlg9g1reue8ILy3sx6FkN0e1SVrvHeKS32ztTgDoIS0bMVf9iKnq34YSt6tp2bHd1FvfuX8RskxYc8</recordid><startdate>201406</startdate><enddate>201406</enddate><creator>Mjaavatten, M.D.</creator><creator>Radner, H.</creator><creator>Yoshida, K.</creator><creator>Shadick, N.A.</creator><creator>Frits, M.L.</creator><creator>Iannaccone, C.K.</creator><creator>Kvien, T.K.</creator><creator>Weinblatt, M.E.</creator><creator>Solomon, D.H.</creator><general>Elsevier Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>201406</creationdate><title>OP0279 Inconsistent Treatment with Disease-Modifying Anti-Rheumatic Drugs: A Longitudinal Data Analysis</title><author>Mjaavatten, M.D. ; Radner, H. ; Yoshida, K. ; Shadick, N.A. ; Frits, M.L. ; Iannaccone, C.K. ; Kvien, T.K. ; Weinblatt, M.E. ; Solomon, D.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1270-bbad862879afbeff9eb1fe57c0997b2a677973a8fd5f61d546fa7643daf207d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mjaavatten, M.D.</creatorcontrib><creatorcontrib>Radner, H.</creatorcontrib><creatorcontrib>Yoshida, K.</creatorcontrib><creatorcontrib>Shadick, N.A.</creatorcontrib><creatorcontrib>Frits, M.L.</creatorcontrib><creatorcontrib>Iannaccone, C.K.</creatorcontrib><creatorcontrib>Kvien, T.K.</creatorcontrib><creatorcontrib>Weinblatt, M.E.</creatorcontrib><creatorcontrib>Solomon, D.H.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science 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>ProQuest Central Basic</collection><jtitle>Annals of the rheumatic diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mjaavatten, M.D.</au><au>Radner, H.</au><au>Yoshida, K.</au><au>Shadick, N.A.</au><au>Frits, M.L.</au><au>Iannaccone, C.K.</au><au>Kvien, T.K.</au><au>Weinblatt, M.E.</au><au>Solomon, D.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>OP0279 Inconsistent Treatment with Disease-Modifying Anti-Rheumatic Drugs: A Longitudinal Data Analysis</atitle><jtitle>Annals of the rheumatic diseases</jtitle><date>2014-06</date><risdate>2014</risdate><volume>73</volume><issue>Suppl 2</issue><spage>167</spage><pages>167-</pages><issn>0003-4967</issn><eissn>1468-2060</eissn><coden>ARDIAO</coden><abstract>Background Current recommendations advocate treatment with disease-modifying anti-rheumatic drugs (DMARDs) in all patients with active rheumatoid arthritis (RA). However, results from contemporary RA cohorts show that even in specialized rheumatology clinics, a proportion of patients are not treated with DMARDs. Objectives We investigated the frequency of and reasons for inconsistent DMARD use among patients in a clinical rheumatology cohort. Methods Patients in the Brigham Rheumatoid Arthritis Sequential Study were studied for DMARD use (any or none) at each semi-annual study time point during the first two study years. Inconsistent use was defined as DMARD use at ≤40% of study time points. Characteristics were compared between inconsistent and consistent users (&gt;40%), and factors associated with inconsistent DMARD use were determined through multivariate logistic regression. A medical record review was performed to determine the reasons for inconsistent use. Results Of 848 patients with sufficient follow-up data, 55 (6.5%) were inconsistent DMARD users. Higher age, longer disease duration and rheumatoid factor negativity were statistically significant correlates of inconsistent use in the multivariate analyses (table). The primary reasons for inconsistent use identified through chart review, allowing for up to 2 co-primary reasons, were inactive disease (n=28, 50.9%), intolerance to DMARDs (n=18, 32.7%), patient preference (n=7, 12.7%), comorbidity (n=6, 10.9%), DMARDs not being effective (n=3, 5.5%), and pregnancy (n=3, 5.5%). During subsequent follow-up, 14/45 (31.1%) of inconsistent users with sufficient data became consistent users of DMARDs. Table 1. Logistic regression model for inconsistent DMARD use Baseline variable OR (95% CI) Age 1.03 (1.00–1.05) Female gender 1.12 (0.53–2.35) RA duration 1.03 (1.01–1.05) RF+ 0.20 (0.11–0.36) C statistics (95% CI) 0.74 (0.67–0.81) OR, odds ratio; CI, confidence interval; RA, rheumatoid arthritis; RF, rheumatoid factor. Conclusions A small proportion of RA patients in a clinical rheumatology cohort were inconsistent DMARD users during the first two years of follow up. Several patient factors correlate with inconsistent use, and many patients re-start DMARDs and become consistent users over time. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.2217</abstract><cop>Kidlington</cop><pub>Elsevier Limited</pub><doi>10.1136/annrheumdis-2014-eular.2217</doi></addata></record>
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title OP0279 Inconsistent Treatment with Disease-Modifying Anti-Rheumatic Drugs: A Longitudinal Data Analysis
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