2017 Graefe's archive for clinical…

Pattern and causes of visual loss in Behcet's uveitis: short-term and long-term outcomes.

, ,

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Vol. 255 (7) : 1423-1432 • Jul 2017

BACKGROUND: To analyze the pattern and causes of visual loss in patients with Behcet's uveitis and to report on the short-term outcome at 6 months and at last follow-up visit. Also, to analyze the pattern of visual acuity changes in eyes with and without macular involvement at the specified time points. METHODS: This is a retrospective cohort study of a single-center in an academic practice. Fifty-three patients with Behcet's uveitis evaluated between 2004 and 2014 were included. Data on patients diagnosed with Behcet's uveitis were entered retrospectively into a database and analyzed. RESULTS: Included were 93 eyes with Behcet's uveitis involving the posterior segment. Frequencies of </=20/50 and of </=20/200 VA at presentation were 23.7% and 37.6%, respectively. Retinitis, macular inflammatory infiltrate, and dense vitritis were significantly associated with worse vision. Eyes with macular atrophy and macular inflammatory infiltrate sustained the worst logMAR VA at presentation (1.87 and 1.73, respectively) compared to eyes with cystoid macular edema and epiretinal membrane (0.76 and 0.63, respectively). Eyes with no macular involvement had the best VA at presentation. Mean difference in logMAR VA between presentation and the specified time points was greatest for eyes with macular inflammatory infiltrate. CONCLUSIONS: Behcet's disease affected mostly young males with a male-to-female ratio of 4.8:1. Panuveitis and posterior uveitis were the predominant forms and they were intrinsically associated with sight-threatening potential and breadth of ocular complications for which aggressive immunosuppressive therapy was essential.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
+2 more
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.