1. Epidemiology of Orbital Inflammatory Disease: An AAO IRIS Registry Study.
- Author
-
Lu JE, Ross C, Ivanov A, Hall N, Lorch A, Miller J, and Yoon MK
- Subjects
- Humans, Female, Male, Middle Aged, United States epidemiology, Adult, Aged, Orbital Pseudotumor epidemiology, Orbital Pseudotumor diagnosis, Ophthalmology statistics & numerical data, Retrospective Studies, Young Adult, Adolescent, Aged, 80 and over, Autoimmune Diseases epidemiology, Child, Registries
- Abstract
Purpose: The current study queries the American Academy of Ophthalmology (AAO) Intelligent Research in Sight (IRIS) registry for data on the epidemiology, work-up, and management patterns of autoimmune orbital inflammation., Methods: Analysis and description of patient data from the IRIS registry between 2013 and 2019 reviewing patients with autoimmune or idiopathic orbital inflammation with filters based on International Classification of Disease (ICD) and Current Procedural Terminology (CPT) codes. Patients with thyroid eye disease, orbital cellulitis, and orbital abscess were excluded., Main Outcome Measures: Demographic descriptions included gender, age, geographic region, and treatment. Sub-analysis was performed by assessing rates of imaging, biopsy, lab work-up, and diagnostic categories., Results: In a final cohort of 20,584 patients, the mean age of onset of orbital inflammation was 51.7 years; 67% female; and 63% Caucasian, 21% unknown, 12% Black, 2.6% Asian, and 1.5% other. Only 49 had imaging, 78 had laboratory work-up, and 1,411 had biopsy codes. Treatment results showed 166 patients receiving antibiotics, 224 patients receiving steroids, and 35 patients receiving both., Conclusions: This study assessed the epidemiology, diagnostic patterns, and treatment patterns for orbital inflammation through the AAO IRIS registry. Practise patterns suggest a relatively low overall rate of imaging and laboratory studies compared to biopsies, although this certainly under-represents the actual number of imaging and laboratory studies and exemplifies the inherent imprecision of using a large database. However, the methodology of this study provides a framework of approaching the IRIS registry for oculoplastic research.
- Published
- 2024
- Full Text
- View/download PDF