Table 3.
Change in visual acuity
| ||||
---|---|---|---|---|
Overall trenda | ≥ 20% reduction | < 20% change | ≥ 20% increase | P-valueb |
> 5 letter improvement | 25 (83%) | 9 (24%) | 1 (14%) | < 0.001 |
≤ 5 letter change | 3 (10%) | 19 (50%) | 3 (43%) | |
> 5 letter decline | 2 (7%) | 10 (26%) | 3 (43%) | |
> 10 letter improvement | 17 (57%) | 5 (13%) | 0 (0%) | < 0.001 |
≤ 10 letter change | 11 (36%) | 26 (69%) | 4 (57%) | |
> 10 letter decline | 2 (7%) | 7 (18%) | 3 (43%) | |
> 15 letter improvement | 10 (33%) | 3 (8%) | 0 (0%) | < 0.001 |
≤ 15 letter change | 19 (63%) | 31 (82%) | 6 (86%) | |
> 15 letter decline | 1 (3%) | 4 (10%) | 1 (14%) | |
| ||||
Improvementa | ||||
≥ 20% reduction | < 20% reduction | P-valuec | ||
> 5 letter improvement | 25 (83%) | 10 (22%) | < 0.001 | |
≤ 5 letter improvement | 5 (17%) | 35 (78%) | ||
> 10 letter improvement | 17 (57%) | 5 (11%) | < 0.001 | |
≤ 10 letter improvement | 13 (43%) | 40 (89%) | ||
> 15 letter improvement | 10 (33%) | 3 (7%) | 0.006 | |
≤ 15 letter improvement | 20 (67%) | 42 (93%) |
The counts and column percentages are included for each combination.
P-values are based upon ordinal regression using generalized estimating equations (GEE) to account for within-person, between-eye correlation.
P-values are based upon logistic regression using generalized estimating equations (GEE) to account for within-person, between-eye correlation.