{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T03:08:02Z","timestamp":1773284882585,"version":"3.50.1"},"reference-count":31,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2017,12,26]],"date-time":"2017-12-26T00:00:00Z","timestamp":1514246400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Wound Management Innovation CRC"},{"name":"Australian Government\u2019s Cooperative Research Centres Program"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Wound Journal"],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:p>The aim of this study was to validate a newly developed tool that can predict the risk of failure to heal of a venous leg ulcer in 24\u2009weeks. The risk assessment tool was validated, and performance of the tool was assessed using Area Under the Receiver Operating Characteristic Curve (AUC) analysis. Retrospective and prospective validation was conducted through multi\u2010site, longitudinal studies. In the retrospective study (<jats:italic>n<\/jats:italic>\u2009=\u2009318), 30% of ulcers did not heal within 24\u2009weeks, with the tool demonstrating an AUC of 0.80 (95% CI, 0.68\u20100.93, <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001) for the total score. In the prospective study across 10 clinical sites (<jats:italic>n<\/jats:italic>\u2009=\u2009225), 31% (<jats:italic>n<\/jats:italic>\u2009=\u200968) of ulcers did not heal within 24\u2009weeks. Participants were classified with the RAT at enrolment as being at low risk (27%), moderate risk (53%) or high risk (20%) of delayed healing; the proportion of wounds unhealed at 24\u2009weeks was 6%, 29% and 59%, respectively. Validation results of the total score indicated good discrimination and goodness of fit with an AUC of 0.78 (95% CI, 0.71\u20100.85, <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001). Validation of this risk assessment tool offers assurance that realistic outcomes can be predicted for patients, and scores can guide early decisions on interventions to address specific risk factors for failing to heal, thus promoting timely healing.<\/jats:p>","DOI":"10.1111\/iwj.12859","type":"journal-article","created":{"date-parts":[[2017,12,26]],"date-time":"2017-12-26T05:16:42Z","timestamp":1514265402000},"page":"258-265","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Predicting delayed healing: The diagnostic accuracy of a venous leg ulcer risk assessment tool"],"prefix":"10.1111","volume":"15","author":[{"given":"Helen E","family":"Edwards","sequence":"first","affiliation":[{"name":"Faculty of Health Queensland University of Technology  Brisbane Australia"},{"name":"Institute of Health &amp; Biomedical Innovation Queensland University of Technology  Brisbane Australia"},{"name":"Wound Management Innovation Cooperative Research Centre  Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christina N","family":"Parker","sequence":"additional","affiliation":[{"name":"Faculty of Health Queensland University of Technology  Brisbane Australia"},{"name":"Institute of Health &amp; 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