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However, clinically actionable biomarkers to anticipate NMOSD relapse timing are unavailable. Recently, it is found that Cuproptosis\u2010related genes would have an impact on the acute\u2010remitting course in patients with aquaporin\u20104 (AQP4)\u2010immunoglobulin G antibody positive NMOSD. A machine learning\u2010based algorithm is developed to construct a consensus Cuproptosis\u2010related prognosis risk (CRPR) model, followed by training a proportional hazards model to divide patients with NMOSD into high\/low relapse risk groups. The CRPR is related to the clinical symptoms of patients with NMOSD. Finally, a nomogram is created using CRPR to predict the possibility of relapse in new cases of NMOSD. This prediction model can assist physicians and help develop appropriate interventions to prevent disease relapse.<\/jats:p>","DOI":"10.1002\/advs.202417124","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T14:52:36Z","timestamp":1755183156000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cuproptosis Signature Would Reveal the Acute\u2010Remitting Pattern in Patients with Neuromyelitis Optica Spectrum Disorder"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3869-2167","authenticated-orcid":false,"given":"Peidong","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Neurology the First Affiliated Hospital of Zhengzhou University Zhengzhou University  Zhengzhou 450000 China"},{"name":"Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou University Zhengzhou 450000 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