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Original Research

Clinical and visual outcomes of patients with uveitis in the mid-Atlantic United States

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Pages 1655-1664 | Published online: 08 Sep 2015

Figures & data

Table 1 Age groups with MdVL, MVL, and SVL at presentation and at the end of the study

Table 2 Baseline characteristics of the uveitis patient at the time of diagnosis

Figure 1 Change in logMAR at last follow-up from logMAR at baseline (ie, at diagnosis) for the set of eyes that had both baseline and follow-up BCVA assessed (n=604 eyes).

Note: Hatch horizontal line identifies zero change in logMAR.
Abbreviations: BCVA, best-corrected visual acuity; logMAR, logarithm of the minimum angle of resolution.
Figure 1 Change in logMAR at last follow-up from logMAR at baseline (ie, at diagnosis) for the set of eyes that had both baseline and follow-up BCVA assessed (n=604 eyes).

Table 3 Visual outcomes for the subset of uveitis patients with both baseline and follow-up visual acuity assessments (n=458; 604 eyes)

Figure 2 Quantile regression predictions for patient level median logMAR as a linear function of follow-up time (years).

Note: Solid points identify the predicted median logMAR at the midpoint of the time interval and the “x” symbol identifies the empirical median logMAR for the time interval.
Abbreviation: logMAR, logarithm of the minimum angle of resolution.
Figure 2 Quantile regression predictions for patient level median logMAR as a linear function of follow-up time (years).

Table 4 Anatomical classification (n=491, 644 eyes)

Table 5 Diagnostic uveitis classification for MdVL, MVL, SVL for those eyes that had both initial and final BCVA available (n=458; 604 eyes)

Table 6 Ophthalmic management and interventions