July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Evolving demographics, risk factors, and treatment strategies for uveitis at a tertiary care hospital over a decade: 2008-2018
Author Affiliations & Notes
  • Jong Park
    Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, California, United States
  • Muhammad Sohail Halim
    Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, California, United States
  • Maria Soledad Ormaechea
    Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, California, United States
    Hospital Universitario Austral, Buenos Aires, Argentina
  • Muhammad Hassan
    Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, California, United States
  • Anh Ngoc Tram Tran
    Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, California, United States
  • Quan Dong Nguyen
    Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, California, United States
  • Footnotes
    Commercial Relationships   Jong Park, None; Muhammad Sohail Halim, None; Maria Ormaechea, None; Muhammad Hassan, None; Anh Tran, None; Quan Nguyen, None
  • Footnotes
    Support  NEI P30-EY026877, Research to Prevent Blindness, Inc
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 6661. doi:https://doi.org/
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      Jong Park, Muhammad Sohail Halim, Maria Soledad Ormaechea, Muhammad Hassan, Anh Ngoc Tram Tran, Quan Dong Nguyen; Evolving demographics, risk factors, and treatment strategies for uveitis at a tertiary care hospital over a decade: 2008-2018. Invest. Ophthalmol. Vis. Sci. 2019;60(9):6661. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : A comprehensive archive of patients with uveitis managed during the last 10 years at a tertiary referral center has not been established. This study seeks to develop such a database to study the demographics and risk factors for uveitis, and to determine the most effective treatment strategies that have evolved for each type of uveitis.

Methods : Retrospective review of medical records was conducted using STRIDE (clinical data warehouse containing HIPPA compliant patient information) at Stanford University Hospital. A cohort of patients with ICD-9/ICD-10 codes for anterior, intermediate, posterior, pan-uveitis and scleritis (Table) was identified, consistent with the Standardization of Uveitis Nomenclature working group classification. A total of 4,473 patients (2008-2018) were analyzed for this study. Linear and multilogistic regression analysis was done to compare the trends of age, gender and race over years. Stata, version 15.1 (Stata Corp LLC, College Station, Texas USA) was used for analysis.

Results : The mean age for the study population was 47.1 ± 19.8 years. The mean age at diagnosis for all study subjects was 51.32 ± 20.72. The trend of mean age for the study population was insignificant (r: 0.09; p:0.38). The proportion of females dropped from 58% in 2008 to 53% in 2018 (r: -0.21; p: 0.30). The majority of the subjects (78%) were diagnosed with anterior uveitis. The proportion of subjects diagnosed with anterior uveitis increased by 10% while the proportion of intermediate, posterior, pan-uveitis, and scleritis decreased by 95%, 61%, 7% and 91% respectively (p<0.05) during the study period. The proportion of Asian subjects increased by 90% while the proportion of White, African American, and Pacific Islander decreased by 24%, 51%, and 83% respectively (p:<0.05) from 2008 to 2018.

Conclusions : A database of 4,473 patients with uveitis over a 10-year period at a tertiary care hospital in the United States has been established. Preliminary analysis shows that there is an increasing proportion of anterior uveitis being diagnosed while a decreasing proportion of intermediate and posterior uveitis was noted. Further analysis of the database will help to determine other trends, such as risk factors, treatment strategies and outcomes.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

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