Ilknur Tugal-Tutkun1, Sumru Onal2, Miles Stanford3, Mehmet Akman4, Jos W R Twisk5, Maarten Boers6, Merih Oray1, P Özdal7, Sibel Kadayifcilar8, Radgonde Amer9, Sivakumar R Rathinam10, Rajesh Vedhanayaki10, Moncef Khairallah11, Yonca Akova12, F Yalcindag13, Esra Kardes14, Berna Basarir15, Çigdem Altan15, Yilmaz Özyazgan16, Ahmet Gül17. 1. Department of Ophthalmology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey. 2. Department of Ophthalmology, School of Medicine, Koc University, Istanbul, Turkey. 3. Medical Eye Unit, St Thomas' Hospital, London, UK. 4. Department of Family Medicine, School of Medicine, Marmara University, Istanbul, Turkey. 5. Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. 6. Department of Epidemiology and Biostatistics, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, The Netherlands. 7. Department of Ophthalmology, University of Health Sciences, Ulucanlar Eye Education and Research Hospital, Ankara, Turkey. 8. Department of Ophthalmology, Hacettepe University Faculty of Medicine, Ankara, Turkey. 9. Department of Ophthalmology, Hadassah Medical Center, Jerusalem, Israel. 10. Department of Ophthalmology, Aravind Eye Care System, Madurai, India. 11. Department of Ophthalmology, Fattouma Bourguiba University Hospital, Faculty of Medicine, University of Monastir, Monastir, Tunisia. 12. Department of Ophthalmology, Bayindir Hospital, Ankara, Turkey. 13. Department of Ophthalmology, Ankara University Faculty of Medicine, Ankara, Turkey. 14. Eye Clinic, University of Health Science, Ümraniye Training and Research Hospital, Istanbul, Turkey. 15. Eye Clinic, University of Health Science, Beyoglu Eye Training and Research Hospital, Istanbul, Turkey. 16. Department of Ophthalmology, Istanbul Cerrahpasa University Faculty of Medicine, Istanbul, Turkey. 17. Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Abstract
Purpose: To develop an algorithm for the diagnosis of Behçet'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.
Purpose: To develop an algorithm for the diagnosis of Behçet'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.
Entities:
Keywords:
Behçet disease; classification and regression tree (CART) analysis; classification criteria; diagnosis; uveitis
Authors: Shereen H Aboul Naga; Lameece Moustafa Hassan; Radwa T El Zanaty; Mohammad Refaat; Rana H Amin; Gaafar Ragab; Mahmoud M Soliman Journal: Front Med (Lausanne) Date: 2022-09-07