{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T20:14:28Z","timestamp":1792959268524,"version":"4.5.0"},"reference-count":30,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004089","name":"Krembil Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004089","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":[[2025,6]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>A simple, scalable tool that identifies psoriasis patients at high risk for developing psoriatic arthritis (PsA) could improve early diagnosis. We aimed to develop a risk prediction model for the development of PsA and to assess its performance among patients with psoriasis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed data from a prospective cohort of psoriasis patients without PsA at enrollment. Participants were assessed annually by a rheumatologist for the development of PsA. Information about their demographics, psoriasis characteristics, comorbidities, medications, and musculoskeletal symptoms was used to develop prediction models for PsA. Penalized binary regression models were used for variable selection while adjusting for psoriasis duration. Risks of developing PsA over 1\u2010 and 5\u2010year time periods were estimated. Model performance was assessed by the area under the curve (AUC) and calibration plots.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 635 psoriasis patients, 51 and 71 developed PsA during the 1\u2010year and 5\u2010year follow\u2010up periods, respectively. The risk of developing PsA within 1 year was associated with younger age, male sex, family history of psoriasis, back stiffness, nail pitting, joint stiffness, use of biologic medications, patient global health, and pain severity (AUC 72.3). The risk of developing PsA within 5\u2009years was associated with morning stiffness, psoriatic nail lesion, psoriasis severity, fatigue, pain, and use of systemic nonbiologic medication or phototherapy (AUC 74.9). Calibration plots showed reasonable agreement between predicted and observed probabilities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The development of PsA within clinically meaningful time frames can be predicted with reasonable accuracy for psoriasis patients using readily available clinical variables.<\/jats:p>\n                    <jats:p>\n                      <jats:boxed-text content-type=\"graphic\" position=\"anchor\">\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mimetype=\"image\/png\" position=\"anchor\" specific-use=\"enlarged-web-image\" xlink:href=\"graphic\/art42661-toc-0001-m.png\">\n                          <jats:alt-text>image<\/jats:alt-text>\n                        <\/jats:graphic>\n                      <\/jats:boxed-text>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/art.42661","type":"journal-article","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T04:01:27Z","timestamp":1691553687000},"page":"686-695","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Derivation of a Multivariable Psoriatic Arthritis Risk Estimation Tool (\n                    <scp>PRESTO<\/scp>\n                    ): A Step Towards Prevention"],"prefix":"10.1002","volume":"77","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1473-1715","authenticated-orcid":false,"given":"Lihi","family":"Eder","sequence":"first","affiliation":[{"name":"Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada, and Department of Medicine University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ker\u2010Ai","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Statistics and Actuarial Science University of Waterloo  Waterloo Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8297-0275","authenticated-orcid":false,"given":"Vinod","family":"Chandran","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Toronto, and Schroder Arthritis Institute, Krembil Research Institute Toronto Western Hospital  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7464-0460","authenticated-orcid":false,"given":"Jessica","family":"Widdifield","sequence":"additional","affiliation":[{"name":"Sunnybrook Research Institute, Sunnybrook Hospital, and Institute for Clinical Evaluative Sciences (ICES), and Institute of Health Policy, Management and Evaluation University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aaron 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