We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Predictors of Visual Response to Intravitreal Bevacizumab for Treatment of Neovascular Age-Related Macular Degeneration.
- Authors
Kai Fang; Jun Tian; Xueying Qing; Shuai Li; Jing Hou; Juan Li; Wenzhen Yu; Dafang Chen; Yonghua Hu; Xiaoxin Li
- Abstract
Purpose.To identify the predictors of visual response to the bevacizumab treatment of neovascular age-related macular degeneration (AMD). Design. A cohort study within the Neovascular AMD Treatment Trial Using Bevacizumab (NATTB). Methods. This was a multicenter trial including 144 participants from the NATTB study. Visual outcomes measured by change in visual acuity (VA) score, proportion gaining ≥15 letters, and change in central retinal thickness (CRT) were compared among groups according to the baseline, demographic, and ocular characteristics and genotypes. Results. Mean change in the VA score was 9.2 ± 2.3 SD letters with a total of 46 participants (31.9%) gaining ≥15 letters. Change in median CRT was -81.5 μm. Younger age, lower baseline VA score, shorter duration of neovascular AMD, and TT genotype in rs10490924 were significantly associated with greater VA score improvement (P = 0.028, P < 0.001, P = 0.02, and .. = 0.039, resp.). Lower baseline VA score and TT genotype in rs10490924 were significantly associated with a higher likelihood of gaining ≥15 letters (P = 0.028, and P = 0.021, resp.). Conclusions. Baseline VA and genotype of rs10490924 were both important predictors for visual response to bevacizumab at 6 months.This trial is registered with the Registration no. NCT01306591.
- Subjects
BEVACIZUMAB; RETINA analysis; ANALYSIS of variance; CHI-squared test; CLINICAL trials; LONGITUDINAL method; MEDICAL cooperation; MULTIVARIATE analysis; HEALTH outcome assessment; REGRESSION analysis; RESEARCH; RESEARCH funding; RETINAL degeneration; STATISTICS; T-test (Statistics); U-statistics; VISUAL acuity; LOGISTIC regression analysis; DATA analysis; TREATMENT effectiveness; DATA analysis software; DESCRIPTIVE statistics
- Publication
Journal of Ophthalmology, 2013, p1
- ISSN
2090-004X
- Publication type
Article
- DOI
10.1155/2013/676049