Anna C O Costello, Pamela F Weiss, Rui Xiao, Irit R Rasooly
{"title":"Rheum for earlier recognition: patient reported time to diagnosis of juvenile idiopathic arthritis.","authors":"Anna C O Costello, Pamela F Weiss, Rui Xiao, Irit R Rasooly","doi":"10.1515/dx-2025-0156","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Early diagnosis of juvenile idiopathic arthritis (JIA) improves long-term outcomes. The study aims to assess patient reported time to diagnosis with JIA and signs of disease-related damage at the time of diagnosis.</p><p><strong>Methods: </strong>Retrospective cohort study of patients with an incident JIA diagnosis at an academic center over a 2-year period. Patient reported time to diagnosis and signs of disease-related damage were extracted from the electronic medical record. Factors associated with time to diagnosis were evaluated with regression modeling.</p><p><strong>Results: </strong>Of the 237 children diagnosed during the study period, the median patient reported time to diagnosis was 19 weeks (IQR: 8-40, range: 1-311). Time to diagnosis was >1 year in 23.5 % of patients, and >2 years in 11.7 %. In the linear regression model, older age was associated with longer time to diagnosis. Many patients (40.9 %) had at least one sign of damage. Damage was most common in younger children and children with oligoarticular disease.</p><p><strong>Conclusions: </strong>It is common for patients with JIA to have a prolonged time to diagnosis, and many have damage at diagnosis. A regression model fails to explain most of the variance in the time to diagnosis, suggesting there is much to learn about the drivers of diagnostic delay in JIA.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnosis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/dx-2025-0156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: Early diagnosis of juvenile idiopathic arthritis (JIA) improves long-term outcomes. The study aims to assess patient reported time to diagnosis with JIA and signs of disease-related damage at the time of diagnosis.
Methods: Retrospective cohort study of patients with an incident JIA diagnosis at an academic center over a 2-year period. Patient reported time to diagnosis and signs of disease-related damage were extracted from the electronic medical record. Factors associated with time to diagnosis were evaluated with regression modeling.
Results: Of the 237 children diagnosed during the study period, the median patient reported time to diagnosis was 19 weeks (IQR: 8-40, range: 1-311). Time to diagnosis was >1 year in 23.5 % of patients, and >2 years in 11.7 %. In the linear regression model, older age was associated with longer time to diagnosis. Many patients (40.9 %) had at least one sign of damage. Damage was most common in younger children and children with oligoarticular disease.
Conclusions: It is common for patients with JIA to have a prolonged time to diagnosis, and many have damage at diagnosis. A regression model fails to explain most of the variance in the time to diagnosis, suggesting there is much to learn about the drivers of diagnostic delay in JIA.
期刊介绍:
Diagnosis focuses on how diagnosis can be advanced, how it is taught, and how and why it can fail, leading to diagnostic errors. The journal welcomes both fundamental and applied works, improvement initiatives, opinions, and debates to encourage new thinking on improving this critical aspect of healthcare quality. Topics: -Factors that promote diagnostic quality and safety -Clinical reasoning -Diagnostic errors in medicine -The factors that contribute to diagnostic error: human factors, cognitive issues, and system-related breakdowns -Improving the value of diagnosis – eliminating waste and unnecessary testing -How culture and removing blame promote awareness of diagnostic errors -Training and education related to clinical reasoning and diagnostic skills -Advances in laboratory testing and imaging that improve diagnostic capability -Local, national and international initiatives to reduce diagnostic error