{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T01:23:07Z","timestamp":1789521787885,"version":"build-2803163510"},"reference-count":44,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"3","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2018,2,6]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              We examined the cardiovascular risk of abatacept compared with tumor necrosis factor (\n              <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n              ) inhibitors in patients with rheumatoid arthritis with and without diabetes mellitus (\n              <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content>\n              ).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              We conducted a cohort study of patients with rheumatoid arthritis who newly started abatacept or\n              <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n              inhibitors using claims data from Medicare and MarketScan. The primary outcome was a composite cardiovascular end point of myocardial infarction (\n              <jats:styled-content style=\"fixed-case\">MI<\/jats:styled-content>\n              ), stroke\/transient ischemic attack, and coronary revascularization. To account for &gt;60 baseline characteristics, abatacept initiators were 1:1 propensity score (\n              <jats:styled-content style=\"fixed-case\">PS<\/jats:styled-content>\n              ) matched to\n              <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n              initiators in each database. Cox proportional hazards models estimated hazard ratio (\n              <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n              ) and 95% confidence interval (\n              <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n              ) in the\n              <jats:styled-content style=\"fixed-case\">PS<\/jats:styled-content>\n              \u2010matched cohort per database. A fixed\u2010effects meta\u2010analysis pooled database\u2010specific\n              <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n              s. We included a total of 13\u00a0039\n              <jats:styled-content style=\"fixed-case\">PS<\/jats:styled-content>\n              \u2010matched pairs of abatacept and\n              <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n              inhibitor initiators (6103 pairs in Medicare and 6936 pairs in MarketScan). A total of 34.7% in Medicare and 19.8% in MarketScan had baseline\n              <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content>\n              . The\n              <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n              (95%\n              <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n              ) for the primary outcome associated with abatacept use versus\n              <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n              inhibitor was 0.81 (0.66\u20130.99) in Medicare and 0.95 (0.74\u20131.23) in MarketScan, with a pooled\n              <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n              of 0.86 (95% CI, 0.73\u20131.01;\n              <jats:italic>P<\/jats:italic>\n              =0.3 for heterogeneity). The risk of the primary outcome was lower in abatacept initiators versus\n              <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n              inhibitors in the\n              <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content>\n              subgroup, with a pooled\n              <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n              of 0.74 (95% CI, 0.57\u20130.96;\n              <jats:italic>P<\/jats:italic>\n              =0.7 for heterogeneity), but not in the non\u2010\n              <jats:styled-content style=\"fixed-case\">DM<\/jats:styled-content>\n              subgroup, with a pooled\n              <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n              of 0.94 (95% CI, 0.77\u20131.14;\n              <jats:italic>P<\/jats:italic>\n              =0.4 for heterogeneity).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              In this large population\u2010based cohort of patients with rheumatoid arthritis, abatacept use appeared to be associated with a modestly reduced cardiovascular risk when compared with\n              <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n              inhibitor use, particularly in patients with DM.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.117.007393","type":"journal-article","created":{"date-parts":[[2018,1,25]],"date-time":"2018-01-25T01:10:26Z","timestamp":1516842626000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":64,"title":["Comparative Cardiovascular Risk of Abatacept and Tumor Necrosis Factor Inhibitors in Patients With Rheumatoid Arthritis With and Without Diabetes Mellitus: A Multidatabase Cohort Study"],"prefix":"10.1161","volume":"7","author":[{"given":"Eun Ha","family":"Kang","sequence":"first","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA"},{"name":"Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinzhu","family":"Jin","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory","family":"Brill","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Lewey","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA"},{"name":"Division of Cardiology, University of Pennsylvania, Philadelphia, PA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabetta","family":"Patorno","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rishi J.","family":"Desai","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seoyoung C.","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA"},{"name":"Division of 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