{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T20:15:38Z","timestamp":1790194538099,"version":"4.1.0"},"reference-count":49,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2018,8,21]],"date-time":"2018-08-21T00:00:00Z","timestamp":1534809600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["FKZ 01ER0812"],"award-info":[{"award-number":["FKZ 01ER0812"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01ER0813"],"award-info":[{"award-number":["01ER0813"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01ER0828"],"award-info":[{"award-number":["01ER0828"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acrjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arthritis &amp; Rheumatology"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      To analyze the prognostic value of demographic, clinical, and therapeutic factors and laboratory biomarkers and to assess their role in predicting uveitis occurrence in patients with juvenile idiopathic arthritis (\n                      <jats:styled-content style=\"fixed-case\">JIA<\/jats:styled-content>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Patients with\n                      <jats:styled-content style=\"fixed-case\">JIA<\/jats:styled-content>\n                      were enrolled within the first year after\n                      <jats:styled-content style=\"fixed-case\">JIA<\/jats:styled-content>\n                      diagnosis. Demographic and clinical parameters were documented. Serum samples were collected at study enrollment, at 3\u2010month follow\u2010up visits within the first year, and then every 6 months. A multivariable Cox regression analysis was performed to evaluate the impact of demographic, clinical, laboratory, and therapeutic parameters on uveitis onset.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We included 954\n                      <jats:styled-content style=\"fixed-case\">JIA<\/jats:styled-content>\n                      patients (67.2% female, 54.2% antinuclear antibody [\n                      <jats:styled-content style=\"fixed-case\">ANA<\/jats:styled-content>\n                      ] positive, mean \u00b1\n                      <jats:styled-content style=\"fixed-case\">SD<\/jats:styled-content>\n                      age at onset 7.1 \u00b1 4.6 years). Uveitis occurred in 133 patients (observation period 44.5 months). Young age at\n                      <jats:styled-content style=\"fixed-case\">JIA<\/jats:styled-content>\n                      onset and\n                      <jats:styled-content style=\"fixed-case\">ANA<\/jats:styled-content>\n                      positivity were significantly associated with the onset of uveitis (both\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.001). Treatment of arthritis with methotrexate alone (hazard ratio [HR] 0.18 [95% confidence interval (95% CI) 0.12\u20130.29],\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.001) or combined with etanercept (HR 0.10 [95% CI 0.04\u20130.23],\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.001) or adalimumab (HR 0.09 [95% CI 0.01\u20130.61],\n                      <jats:italic>P<\/jats:italic>\n                      = 0.014) reduced the risk of uveitis onset and the occurrence of uveitis\u2010related complications. Predictors of uveitis onset included elevated erythrocyte sedimentation rate at baseline (\n                      <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n                      2.36 [95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      1.38\u20134.02],\n                      <jats:italic>P<\/jats:italic>\n                      = 0.002) and continuing moderate or high disease activity during follow\u2010up as measured by the 10\u2010joint clinical Juvenile Arthritis Disease Activity Score (\n                      <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n                      4.30 [95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      2.51\u20137.37],\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.001). Additionally, S100A12 levels \u2265250 ng\/ml at baseline were significantly associated with the risk of uveitis (\n                      <jats:styled-content style=\"fixed-case\">HR<\/jats:styled-content>\n                      2.10 [95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      1.15\u20133.85],\n                      <jats:italic>P<\/jats:italic>\n                      = 0.016).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Apart from demographic risk factors and treatment modalities,\n                      <jats:styled-content style=\"fixed-case\">JIA<\/jats:styled-content>\n                      disease activity scores and laboratory biomarkers could be used to better define the group of\n                      <jats:styled-content style=\"fixed-case\">JIA<\/jats:styled-content>\n                      patients at high risk of uveitis onset.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/art.40544","type":"journal-article","created":{"date-parts":[[2018,5,7]],"date-time":"2018-05-07T01:05:34Z","timestamp":1525655134000},"page":"1685-1694","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":75,"title":["Risk Factors and Biomarkers for the Occurrence of Uveitis in Juvenile Idiopathic Arthritis"],"prefix":"10.1002","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6907-1112","authenticated-orcid":false,"given":"Christoph","family":"Tappeiner","sequence":"first","affiliation":[{"name":"Inselspital, University of Bern, Bern, Switzerland German Rheumatism Research Center, Berlin, Germany, and St. Franziskus Hospital Muenster 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