Visual Acuity Change over 12 Months in the Prospective Progression of Atrophy Secondary to Stargardt Disease (ProgStar) Study: ProgStar Report Number 6.

PURPOSE: To estimate the yearly rate of change of best-corrected visual acuity (BCVA) and the risk of loss 1 line or more over 1 year and to identify risk factors for BCVA loss in patients with Stargardt disease (STGD1). DESIGN: Multicenter, prospective cohort study. PARTICIPANTS: Two hundred fifty-nine patients (489 eyes) with molecularly confirmed STGD1 enrolled at 9 centers in the United States and Europe. METHODS: Participants were followed up every 6 months, and data at the baseline and 6- and 12-month visits were analyzed. Best-corrected visual acuity was measured using the Early Treatment Diabetic Retinopathy Study (ETDRS) protocol. Standardized reporting forms were used to collect participants' characteristics and clinical observations. Linear mixed effects models were used to estimate the rate of BCVA loss. Linear models with generalized estimating equations were used to identify risk factors for BCVA loss of 1 line or more over 1 year. MAIN OUTCOME MEASURES: Change in BCVA over 1 year. RESULTS: Cross-sectional analysis at baseline showed that earlier symptom onset and longer duration since onset was associated with worse BCVA. Longitudinal analysis showed no overall significant change of BCVA within 12 months, but the rate of BCVA change was significantly different by baseline BCVA (P < 0.001). The BCVA of eyes with baseline BCVA of 20/25 or better declined at a rate of 2.8 ETDRS letters per year (P = 0.10), eyes with baseline BCVA between 20/25 and 20/70 declined at a rate of 2.3 ETDRS letters per year (P = 0.002), eyes with baseline BCVA between 20/70 and 20/200 declined at a rate of 0.8 ETDRS letters per year (P = 0.08), and eyes with baseline BCVA worse than 20/200 showed a significant improvement of 2.3 ETDRS letters per year (P < 0.001). Overall, 12.9% of eyes lost 1 line or more, and the risk of such BCVA loss was different by baseline BCVA level (P = 0.016). Smoking and vitamin A use was not associated significantly with baseline BCVA, nor with rate of BCVA loss over 1 year. CONCLUSIONS: Change in BCVA in STGD1 patients over a 12-month period was small, but varied depending on baseline BCVA. Given the slow change during 1 year, BCVA is unlikely to be a sensitive outcome measure for STGD1 treatment trials with 1 year's duration.

Progression of Visual Acuity and Fundus Autofluorescence in Recent-Onset Stargardt Disease: ProgStar Study Report #4.

PURPOSE: To investigate the impact of areas of decreased fundus autofluorescence (AF) on visual acuity (VA) in molecularly confirmed Stargardt disease (STGD1) with recent symptom onset, and investigate the association between these structural and functional measures over time. DESIGN: Prospective, international, multicenter observational study of Stargardt disease. PARTICIPANTS: Sixty-four patients (124 eyes) aged ≥6 years at first study visit, with onset of symptoms ≤2 years before the first visit. METHODS: AF images were graded for the presence and areas of definitely decreased AF (DDAF), questionably decreased AF (QDAF), and total decreased AF (DAF). First-visit images were also graded for presence of these lesions and for the presence of increased AF in the fovea. VA was measured as best-corrected or presenting acuity and converted to logarithm of the minimum angle of resolution (logMAR). Cross-sectional associations were measured using linear models with generalized estimating equations. Longitudinal linear mixed effects models were used to estimate yearly progression rates of VA and AF lesion areas. Main outcome measures were rate of change in VA and rate of change of decreased AF area. RESULTS: In cross-sectional analyses at baseline, VA was not significantly associated with area of DDAF (P = 0.86), or QDAF (P = 0.11), but was significantly associated with lesion involvement in the fovea (P < 0.001). The VA change rate was 0.054 logMAR/year (P < 0.001) and depended on initial level of VA (faster loss was observed in those with 20/30 to 20/70 at first visit, 0.114 logMAR/year, 95% confidence interval = 0.090-0.138). Growth of DDAF depended on the size of the lesion at first visit, with larger DDAF having faster growth. Regression of QDAF area over time was associated with significantly larger growth in DDAF (P < 0.001), suggesting that QDAF areas may lose further AF signal over time. The increase in area of DDAF, or total decreased AF, was not associated with change in VA (P = 0.62, and P = 0.27, respectively). CONCLUSIONS: In recent-onset STGD1, the rate of VA loss was not significantly associated with the rate of increase in area of DDAF, QDAF, or DAF. For DDAF, the growth rate depended on the initial size of the lesion, a finding that will be helpful in stratifying these patients for intervention.