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.
Acknowledgments
The authors thank the uveitis experts who answered the questionnaire on diagnostic features of BD uveitis: Yonca Akova (Turkey), Sibel Kadayifcilar (Turkey), Gungor Sobaci (Turkey), Merih Soylu (Turkey), Sumru Onal (Turkey), Pinar Ozdal (Turkey), Yilmaz Ozyazgan (Turkey), Nilufer Yalcindag (Turkey), Nida Sen (USA), Narsing Rao (USA), Emmett Cunningham (USA), Andrew Dick (UK), Miles Stanford (UK), Arnd Heiligenhaus (Germany), Uwe Pleyer (Germany), Luca Cimino (Italy), Pia Allegri (Italy), Soon Phaik Chee (Singapore), Radgonde Amer (Israel), Khalid Tabbara (Saudi Arabia), and Moncef Khairallah (Tunisia).
Disclosures
The following authors disclose financial support outside the submitted work:
Ilknur Tugal-Tutkun: Consultant, AbbVie; Lecturer, Allergan
Miles Stanford: Lecturer, Allergan and AbbVie
Ahmet Gül: Consultant, AbbVie, Amgen, and MSD
Declaration of interest
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
Supplementary Material
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