{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T09:20:24Z","timestamp":1780478424748,"version":"3.54.1"},"reference-count":18,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2018,12,4]],"date-time":"2018-12-04T00:00:00Z","timestamp":1543881600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e5det","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003173","name":"Crafoordska Stiftelsen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003173","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acrjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arthritis & Rheumatology"],"published-print":{"date-parts":[[2019,2]]},"abstract":"Objective<\/jats:title>To determine the role of inflammatory biomarkers at 2 years post\u2013anterior cruciate ligament (ACL<\/jats:styled-content>) injury to predict radiographic knee osteoarthritis (OA<\/jats:styled-content>) and magnetic resonance imaging (MRI<\/jats:styled-content>)\u2013defined knee OA<\/jats:styled-content> at 5 years postinjury, with a secondary aim of estimating the concordance of inflammatory biomarkers assessed by MRI<\/jats:styled-content> and synovial fluid (SF<\/jats:styled-content>) analysis.<\/jats:p><\/jats:sec>Methods<\/jats:title>We studied 113 patients with acute ACL<\/jats:styled-content> injury. Knee scans using 1.5T MRI<\/jats:styled-content>s were read for Hoffa\u2010 and effusion\u2010synovitis. Biomarkers of inflammation that we assessed included interleukin\u20106 (IL<\/jats:styled-content>\u20106), IL<\/jats:styled-content>\u20108, IL<\/jats:styled-content>\u201010, tumor necrosis factor, and interferon\u2010\u0263 in serum and SF<\/jats:styled-content>, and IL<\/jats:styled-content>\u201012p70 in serum. We defined the outcome as radiographic knee OA<\/jats:styled-content> (ROA<\/jats:styled-content>) or MRI<\/jats:styled-content>\u2010defined OA<\/jats:styled-content> (MROA<\/jats:styled-content>) at 5 years. The area under the receiver operating characteristic curve (AUC<\/jats:styled-content>), sensitivity, and specificity were evaluated in models that included MRI<\/jats:styled-content> features only (model 1), inflammation biomarkers only (serum [model 2a] or SF<\/jats:styled-content> [model 2b]), both MRI<\/jats:styled-content> features and serum biomarkers (model 3a), or both MRI<\/jats:styled-content> features and SF<\/jats:styled-content> (model 3b) biomarkers. Linear regression analysis was used to evaluate the association between MRI<\/jats:styled-content> features and SF<\/jats:styled-content> biomarkers.<\/jats:p><\/jats:sec>Results<\/jats:title>At 5 years postinjury, ROA<\/jats:styled-content> was present in 26% of the injured knees, and MROA<\/jats:styled-content> was present in 32%. The AUC<\/jats:styled-content>s for ROA<\/jats:styled-content> in each model were 0.44 (95% confidence interval [95% CI<\/jats:styled-content>] 0.42, 0.47) for model 1, 0.62 (95% CI<\/jats:styled-content> 0.59, 0.65) for model 2a, 0.53 (95% CI<\/jats:styled-content> 0.50, 0.56) for model 2b, 0.58 (95% CI<\/jats:styled-content> 0.55, 0.61) for model 3a, and 0.50 (95% CI<\/jats:styled-content> 0.46, 0.53) for model 3b. The AUC<\/jats:styled-content>s for MROA<\/jats:styled-content> in each model were 0.67 (95% CI<\/jats:styled-content> 0.64, 0.70) for model 1, 0.49 (95% CI<\/jats:styled-content> 0.47, 0.52) for model 2a, 0.56 (95% CI<\/jats:styled-content> 0.52, 0.59) for model 2b, 0.65 (95% CI<\/jats:styled-content> 0.61, 0.68) for model 3a, and 0.69 (95% CI<\/jats:styled-content> 0.66, 0.72) for model 3b. The concordance between MRI<\/jats:styled-content> and SF<\/jats:styled-content> biomarkers was statistically significant only for effusion\u2010synovitis and IL<\/jats:styled-content>\u20108.<\/jats:p><\/jats:sec>Conclusion<\/jats:title>Neither MRI<\/jats:styled-content>\u2010detected inflammation nor selected SF<\/jats:styled-content>\/serum inflammation biomarkers at 2 years postinjury predicted ROA<\/jats:styled-content> or MROA<\/jats:styled-content> at 5 years postinjury. Concordance between MRI<\/jats:styled-content> and SF<\/jats:styled-content> inflammatory biomarkers was weak.<\/jats:p><\/jats:sec>","DOI":"10.1002\/art.40687","type":"journal-article","created":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T05:49:05Z","timestamp":1533620945000},"page":"238-243","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Molecular and Structural Biomarkers of Inflammation at Two Years After Acute Anterior Cruciate Ligament Injury Do Not Predict Structural Knee Osteoarthritis at Five Years"],"prefix":"10.1002","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9238-7350","authenticated-orcid":false,"given":"Frank W.","family":"Roemer","sequence":"first","affiliation":[{"name":"University of Erlangen\u2010Nuremberg, Erlangen, Germany, Quantitative Imaging Center and Boston University School of Medicine, Boston, Massachusetts, and Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3320-2437","authenticated-orcid":false,"given":"Martin","family":"Englund","sequence":"additional","affiliation":[{"name":"Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandra","family":"Turkiewicz","sequence":"additional","affiliation":[{"name":"Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9","family":"Struglics","sequence":"additional","affiliation":[{"name":"Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Guermazi","sequence":"additional","affiliation":[{"name":"Quantitative Imaging Center and Boston University School of Medicine Boston Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L. 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