Academic Journal

An Algorithm for the Diagnosis of Behcet Disease Uveitis in Adults

التفاصيل البيبلوغرافية
العنوان: An Algorithm for the Diagnosis of Behcet Disease Uveitis in Adults
المؤلفون: KADAYIFÇILAR, SİBEL, Ozyazgan, Yilmaz, Altan, Cigdem, Kardes, Esra, Akova, Yonca, Khairallah, Moncef, Vedhanayaki, Rajesh, Amer, Radgonde, Ozdal, Pinar Cakar, Oray, Merih, Boers, Maarten, Twisk, Jos W. R., AKMAN, MEHMET, Stanford, Miles, Onal, Sumru, Tugal-Tutkun, Ilknur, Gül, Ahmet, Basarir, Berna, YALÇINDAĞ, FATİME NİLÜFER, Rathinam, Sivakumar R.
سنة النشر: 2021
الوصف: Purpose: To develop an algorithm for the diagnosis of Behcet's disease (BD) uveitis based on ocular findings. Methods: Following an initial survey among uveitis experts, we collected multi-center retrospective data on 211 patients with BD uveitis and 207 patients with other uveitides, and identified ocular findings with a high diagnostic odds ratio (DOR). Subsequently, we collected multi-center prospective data on 127 patients with BD uveitis and 322 controls and developed a diagnostic algorithm using Classification and Regression Tree (CART) analysis and expert opinion. Results: We identified 10 items with DOR >5. The items that provided the highest accuracy in CART analysis included superficial retinal infiltrate, signs of occlusive retinal vasculitis, and diffuse retinal capillary leakage as well as the absence of granulomatous anterior uveitis or choroiditis in patients with vitritis. Conclusion: This study provides a diagnostic tree for BD uveitis that needs to be validated in future studies.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1080/09273948.2020.1736310
الاتاحة: https://doi.org/10.1080/09273948.2020.1736310
https://avesis.hacettepe.edu.tr/publication/details/0a6aab9e-2445-44ac-998e-4cf664e934fc/oai
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.42211C46
قاعدة البيانات: BASE
الوصف
DOI:10.1080/09273948.2020.1736310