June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Clinical Characteristics of Patients with Uveitis at Presentation: a Database Study using the American Academy of Ophthalmology (AAO) Intelligent Research In Sight (IRIS®) Registry
Author Affiliations & Notes
  • Ryan T Yanagihara
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • Matthew S Hunt
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • K Matthew McKay
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • Timothy-Paul Kung
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • Aaron Y Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • Russell N Van Gelder
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • Cecilia S Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • Footnotes
    Commercial Relationships   Ryan Yanagihara, None; Matthew Hunt, None; K Matthew McKay, None; Timothy-Paul Kung, None; Aaron Lee, Carl Zeiss Meditec (F), Genentech (C), Microsoft (F), Novartis (F), NVIDIA (F), Santen (F), Topcon (R), US Food and Drug Administration (E), Verana Health (C); Russell Van Gelder, None; Cecilia Lee, None
  • Footnotes
    Support  NIH/NIA R01AG060942 (Cecilia S. Lee); NIH/NEI K23EY029246 (Aaron Y. Lee); Latham Vision Innovation Award, and an unrestricted grant from Research to Prevent Blindness (Cecilia S. Lee and Aaron Y. Lee)
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 3479. doi:
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    • Get Citation

      Ryan T Yanagihara, Matthew S Hunt, K Matthew McKay, Timothy-Paul Kung, Aaron Y Lee, Russell N Van Gelder, Cecilia S Lee; Clinical Characteristics of Patients with Uveitis at Presentation: a Database Study using the American Academy of Ophthalmology (AAO) Intelligent Research In Sight (IRIS®) Registry. Invest. Ophthalmol. Vis. Sci. 2021;62(8):3479.

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

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Abstract

Purpose : Uveitis is an uncommon but significantly blinding disease. This retrospective database analysis assessed the baseline clinical characteristics of patients in the IRIS Registry presenting with uveitis.

Methods : The first uveitic eye (random eye chosen if bilateral) of each IRIS Registry patient with a new uveitis diagnosis in 2017 was included. Uveitis diagnoses and associated ocular comorbidities were determined by ICD-10 codes. Uveitis cases were anatomically subdivided into: anterior uveitis (AU), intermediate uveitis (IU), posterior uveitis (PU), panuveitis (PanU), scleritis, retinal vasculitis (RV), and “mixed” (scleritis & any intraocular inflammation). Baseline logMAR best corrected visual acuity (BCVA) was measured on the initial date of uveitis diagnosis. Baseline intraocular pressure (IOP) was defined as the maximum IOP on the earliest date within 30 days prior to diagnosis. New patients were defined as those not previously registered in IRIS prior to 2017. Established patients were those seen prior to 2017 who received a new uveitis diagnosis during 2017. Presenting BCVA and IOP were compared against IRIS Registry patients seen in 2017 without uveitis.

Results : PanU had the worst and scleritis had the best mean BCVA at presentation (20/96 and 20/28 Snellen equivalent, respectively) (Figure 1). Presenting IOP was similar among all uveitis subcategories (mean=15.97 mmHg, range=14.66-16.17 mmHg) and controls (mean=15.55 mmHg). However, there was higher variation in the distribution of baseline IOP in uveitis patients compared to controls (Figure 2). AU had the highest rates of glaucoma and cataract at baseline.

Conclusions : Baseline BCVA was worst in PanU and best in scleritis. IOP varied more among patients with uveitis than those without. Glaucoma and cataract were common baseline ocular comorbidities in patients with uveitis.

This is a 2021 ARVO Annual Meeting abstract.

 

Figure 1: Split violin plots showing baseline logMAR BCVA distribution for new and established eyes of patients with and without uveitis in the IRIS Registry.

Figure 1: Split violin plots showing baseline logMAR BCVA distribution for new and established eyes of patients with and without uveitis in the IRIS Registry.

 

Figure 2: Split violin plots showing the distribution of baseline IOP for new and established eyes of patients with and without uveitis in the IRIS Registry.

Figure 2: Split violin plots showing the distribution of baseline IOP for new and established eyes of patients with and without uveitis in the IRIS Registry.

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