{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T04:18:48Z","timestamp":1793852328541,"version":"4.6.1"},"reference-count":50,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2021,2,22]],"date-time":"2021-02-22T00:00:00Z","timestamp":1613952000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["acrjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arthritis &amp; Rheumatology"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To establish predictive models for mortality in patients with polymyositis\/dermatomyositis\u2013associated interstitial lung disease (PM\/DM\u2010ILD) using a combination of initial serum biomarker levels.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The Multicenter Retrospective Cohort of Japanese Patients with Myositis\u2010Associated ILD (JAMI) database of 497 incident cases of PM\/DM\u2010ILD was used as a derivation cohort, and 111 cases were additionally collected as a validation cohort. Risk factors predictive of all\u2010cause mortality were identified by univariate and multivariable Cox regression analyses using candidate serum biomarkers as explanatory variables. The predictive models for mortality were generated in patients with and those without anti\u2013melanoma differentiation\u2013associated gene 5 (MDA\u20105) antibody, using a combination of risk factors. Cumulative survival rates were assessed using Kaplan\u2010Meier analysis, and were compared between subgroups using the Breslow test.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In the derivation cohort, C\u2010reactive protein (CRP) and Krebs von den Lungen 6 (KL\u20106) levels were identified as independent risk factors for mortality in both anti\u2013MDA\u20105\u2013positive and anti\u2013MDA\u20105\u2013negative patients. We then developed a prediction model based on anti\u2013MDA\u20105 antibody status, CRP level, and KL\u20106 level, termed the \u201cMCK model,\u201d to identify patients at low (&lt;15%), moderate (15\u201350%), or high (\u226550%) risk of mortality, based on the number of risk factors. The MCK model successfully differentiated cumulative survival rates in anti\u2013MDA\u20105\u2013positive patients (\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.01 for low versus moderate risk and\n                      <jats:italic>P<\/jats:italic>\n                      = 0.03 for moderate versus high risk) and in anti\u2013MDA\u20105\u2013negative patients (\n                      <jats:italic>P<\/jats:italic>\n                      &lt; 0.001 for low versus moderate risk). The utility of the MCK model was replicated in the validation cohort.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our findings indicate that an evidence\u2010based risk prediction model using CRP and KL\u20106 levels combined with anti\u2013MDA\u20105 antibody status might be useful for predicting prognosis in patients with PM\/DM\u2010ILD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/art.41566","type":"journal-article","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T03:44:19Z","timestamp":1603943059000},"page":"677-686","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":113,"title":["Risk Prediction Modeling Based on a Combination of Initial Serum Biomarker Levels in Polymyositis\/Dermatomyositis\u2013Associated Interstitial Lung Disease"],"prefix":"10.1002","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2593-1771","authenticated-orcid":false,"given":"Takahisa","family":"Gono","sequence":"first","affiliation":[{"name":"Nippon Medical School Graduate School of Medicine  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenichi","family":"Masui","sequence":"additional","affiliation":[{"name":"National Defense Medical College School of Medicine, Saitama, Japan, and Show University Hospital  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naoshi","family":"Nishina","sequence":"additional","affiliation":[{"name":"Keio University School of Medicine  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasushi","family":"Kawaguchi","sequence":"additional","affiliation":[{"name":"Tokyo Women\u2019s Medical University  Tokyo 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