Change in Central Retinal Thickness and Visual Acuity
Effectiveness of 3-month anti-VEGF treatment was anatomically indicated by a statistically significant reduction in CRT by 41 ± 47 µm (95% CI from 16 to 66 µm, p = 0.004). Although the reduction in CRT following treatment correlated well with the change in VA (r=-0.71, p = 0.003), the improvement in near monocular and binocular VA was minimal and not statistically significant. VA improvement was found to be on average 0.04 logMAR in both monocular (95% CI from − 0.03 to 0.12, p = 0.248) and binocular viewing conditions (95% CI from − 0.02 to 0.10, p = 0.148; see Τable 1).
Similarly, for the control group, near VA did not exhibit any changes between the two visits as measured binocularly (95% CI from − 0.03 to 0.04, p = 0.929) and monocularly for the RE (95% CI from − 0.05 to 0.02, p = 0.446). Figure 1 plots monocular visual acuity in AMD and control groups on both visits.
Reading speed and eye fixation parameters
Control group. No differences were found in passage reading speed between the two visits, in both monocular (95% CI from − 11.1 to 14.6, p = 0.8) and binocular viewing conditions (95% CI from − 8.2 to 8, p = 0.4). In addition, no statistically significant difference was found in any eye fixation parameter in either binocular or monocular testing (see Table 1), suggesting minimal learning effects.
wAMD Group: Reading speed. Improvement in passage reading speed was observed in 11/16 of patients which was accompanied by improvement in visual acuity in 8/11 patients (VA improved in one additional patient without concomitant improvement in reading speed). On average, passage reading speed improved from 69.4 to 85.3 wpm, i.e. by an average of 15.9 ± 28.5 wpm (95% CI from 0.7 to 31.1 wpm, p = 0.041). Reading speed in binocular viewing did not change significantly between the two visits (see Table 1).
wAMD Group: Fixation parameters. There was a significant reduction in the number of fixations per word, averaging 0.24 ± 0.38 fixations (95% CI from 0.04 to 0.45, p = 0.023; see Fig. 2), which was strongly correlated with the concurrent reduction in CRT (r = 0.71, p = 0.003). Changes in the other eye fixation parameters with treatment were in the expected direction, but did not reach significance: fixation duration decreased by 15 ± 66 ms (p = 0.359), percentage of regressions by 1.8 ± 5.4% (p = 0.189), and ex-Gaussian parameters µ and τ by 9 ± 58 ms (p = 0.571) and 5 ± 42 ms (p = 0.528), respectively.
Correlates of improvement in passage reading speed (treated eye). As expected, improvement in monocular reading speed was closely associated with the concurrent reduction in CRT (r=-0.68, p = 0.004). Although near VA did not improve with treatment on a group basis, it was closely associated with the degree of improvement in monocular passage reading speed (r = 0.70, p = 0.003) (see Fig. 3).
Regarding eye movement parameters, treatment-related changes in the number of fixations (r=-0.67, p = 0.006), average fixation duration (r=-0.65, p = 0.006), percentage of regressions (r=-0.52, p = 0.041) and ex-Gaussian parameter µ (r=-0.66, p = 0.005) were all significantly associated with the degree of improvement in monocular passage reading speed (see Fig. 4).
To further assess the joint contribution of change in monocular VA and in eye fixation parameters to the improvement in passage reading we computed two complementary hierarchical, linear multiple regression models. Monocular VA was always entered in the first step. Due to collinearity concerns, fixation duration, percentage of regressions and parameter µ were not entered together in the same regression model. Model 1 included change in fixation duration, number of fixations per word, and percentage of regressions entered together in the second step. In Model 2, number of fixations per word and the ex-Gaussian parameter µ were entered together in the second step.
Both models were significant (p < 0.001) with the predictor variables accounting for 85 and 79% of the variance in reading speed improvement. Model 1 revealed that reductions in fixation duration (B=-0.21, SE = 0.06, p = 0.006) and in the number of fixations per word (B=-30.92, SE = 11.03, p = 0.017) were significant predictors of improvement in reading speed even after controlling for the observed change in VA. Model 2 revealed that in addition to the reduction in the number of fixations, a reduction in the parameter µ significantly and independently predicted improvement in reading speed (B=-0.23, SE = 0.06, p = 0.002), even after controlling for the change in VA. The total amount of variance accounted for by eye movement parameters beyond that contributed by VA was 40% in Model 1 and 35% in Model 2. Finally, to facilitate comparisons with previous studies we performed supplementary analyses by excluding VA as a predictor of reading speed. These models indicated that eye fixation parameters alone can account for as much as 76% of the variance in the degree of improvement in reading speed.
Correlates of CRT changes. To quantify the extent of therapeutic effects on retinal physiology and more specifically on the change in CRT, as predicted by the improvement in monocular VA and by the eye fixation patterns, we computed a complementary hierarchical, linear multiple regression model. Monocular VA was entered in the first step. Due to collinearity concerns, fixation duration, percentage of regressions and parameter µ were not entered together in the same regression model. The model included change in number of fixations per word, entered in the second step, and change in fixation duration in the third step.
Change in VA accounted for 50% of the variance in CRT improvement. When change in the number of fixations was added, the model accounted for 67% of the variance in CRT improvement. On the other hand, when fixation duration or percentage of regressions with parameter µ were added in the model, no statistically significant change in R Square was observed. Final model, which included only changes in VA and in the number of fixations, was highly significant (R Square = 0.668, p = 0.001). Moreover, reduction in the number of fixations (B = 55.92, SE = 22.30, p = 0.026) was a significant predictor of CRT improvement, even after controlling for the observed change in VA. Finally, we performed supplementary analyses by excluding VA as a predictor of CRT. The model indicated that the number of fixations alone can account for as much as 46% of the variance in CRT improvement.