Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: Ophthalmol Retina. 2018 Jun;2(6):525–530. doi: 10.1016/j.oret.2017.10.003

Baseline Predictors for Five-Year Visual Acuity Outcomes in the Comparison of AMD Treatment Trials

Gui-shuang Ying 1, Maureen G Maguire 1, Wei Pan 1, Juan E Grunwald 1, Ebenezer Daniel 1, Glenn J Jaffe 2, Cynthia A Toth 2, Stephanie A Hagstrom 3, Daniel F Martin 3; the CATT Research Group
PMCID: PMC6009839  NIHMSID: NIHMS922645  PMID: 29938247

Abstract

Purpose

To determine baseline predictors of visual acuity (VA) outcomes at 5 years after initiating treatment with ranibizumab or bevacizumab for neovascular age-related macular degeneration (AMD).

Design

Secondary analysis of data from a cohort study.

Participants

Patients enrolled in the Comparison of AMD Treatments Trials (CATT) who completed a 5-year follow-up visit.

Methods

Participants were randomly assigned to ranibizumab or bevacizumab and to 1 of 3 dosing regimens. After two years, patients were released from the clinical trial protocol, and were recalled for examination at 5 years. Trained readers evaluated baseline lesion features, fluid and thickness. Baseline predictors were determined using univariate and multivariate regression analysis.

Main Outcome Measures

VA score and change from baseline, ≥3-line gain, and VA 20/200 or worse at 5 years.

Results

Among 647 patients with VA measured at 5 years, mean VA score in the study eye was 58.9 letters (≈20/63), mean decrease from baseline was 3.3 letters, 17.6% eyes gained ≥3 lines, and 19.9% had VA of 20/200 or worse. In multivariate analysis, worse baseline VA was associated with worse VA, more VA gain, higher percentage with ≥3-line gain, and higher percentage with 20/200 or worse at 5 years (all p<0.001). Larger baseline CNV lesion area was associated with worse VA, greater VA loss, and higher percentage with 20/200 or worse at 5 years (all p<0.05). Absence of baseline subretinal fluid was associated with worse VA (p=0.03) and more VA loss (p=0.03). Female gender, bevacizumab treatment in the first 2 years, and absence of RPE elevation were associated with higher percentage with ≥3-line gain. Cigarette smoking was associated with a higher percentage with 20/200 or worse. None of the 21 SNPs evaluated were associated with VA outcomes.

Conclusions

Five years after initiating treatment with ranibizumab or bevacizumab in CATT participants, worse baseline VA, larger baseline CNV lesion area, and presence of baseline RPE elevation remained independently associated with worse VA at 5 years. In addition, male gender, cigarette smoking, absence of subretinal fluid and treatment with ranibizumab in the first 2 years were independently associated with worse vision outcomes at 5 years.

Graphical Abstract

Five years after initiating treatment with ranibizumab or bevacizumab in CATT participants, cigarette smoking, more severe neovascularization and treatment with ranibizumab in the first 2 years were independently associated with worse vision outcomes at 5 years.

INTRODUCTION

Anti-vascular endothelial growth factor (anti-VEGF) agents are highly effective treatments for neovascular age-related macular degeneration (AMD), and clinical trials have demonstrated their efficacy are similar within 1 or 2-year follow-up.111 However, vision response to anti-VEGF treatment varies substantially among individual patients. Several studies have evaluated baseline demographic, clinical, genetic, or behavioral factors that may predict visual acuity (VA) outcomes.1216,1719 These studies have consistently found that patient age, baseline VA, and choroidal neovascularization (CNV) lesion size predict VA outcomes. However, almost all of these studies evaluated factors associated only with short-term treatment response (within 2 years after treatment). In spite of the good short-term VA response from anti-VEGF treatment for neovascular AMD, mean VA declines with longer follow-up.2025 Factors that predict short-term VA changes may differ from those that predict long-term VA changes.

We recently completed 5-year follow-up of a well-defined cohort of patients who underwent treatment with ranibizuamb or bevacizumab during 2 years of a clinical trial followed by approximately 3.5 years of clinical care according to best medical judgment. Long-term (mean of 5.5 years) mean VA declined to 3 letters worse than at baseline and 11 letters worse than at 2 years.22 The aims of this paper are to evaluate baseline predictors for both long-term favorable VA outcomes and poor VA outcomes at 5 years among the participants of the Comparison of AMD Treatments Trials (CATT).

METHODS

Details on the study design and methods of the CATT have been reported in previous publications 7;8;22 and on ClinicalTrials.gov (NCT00593450). Only the major features related to this paper are described here.

Study Participants

The institutional review board associated with each clinical center approved the study protocol and informed consent was obtained from each patient. Between February 20, 2008, and December 9, 2009, patients were enrolled from 43 clinical centers in the United States and randomized to one of four treatment groups at baseline: (1) ranibizumab monthly; (2) bevacizumab monthly; (3) ranibizumab as needed (pro re nata, PRN); and (4) bevacizumab PRN. At the end of Year 1, patients initially assigned to monthly treatment retained their drug assignment but were reassigned randomly to either monthly or PRN treatment. Patients initially assigned to PRN treatment retained both their drug and regimen for Year 2.

The study enrollment criteria included age of 50 or older, the study eye (one eye per patient) having untreated active choroid neovascularization (CNV) due to AMD, and baseline study eye VA between 20/25 and 20/320 on electronic VA testing.

Study Procedures

During the initial visit, patients provided information on demographic characteristics and medical history. Certified photographers obtained stereoscopic, color fundus photographs, fluorescein angiograms and time-domain optical coherence tomography (OCT) images. Both photographic and OCT images were evaluated at reading centers using standardized protocols.26;27

At baseline and during follow-up visits every 4 weeks through 104 weeks, study eyes were treated following the CATT protocol. Certified VA examiners, masked to the treatment assignment, measured VA after refraction in both eyes using the Electronic Visual Acuity (EVA) Tester following the protocol used in the Diabetic Retinopathy Clinical Research Network.28

After the visit at 104 weeks, patients were released from their assigned treatment protocol, and all treatments were administered according to best medical judgment. At approximately 5.5 years (range 4.3 years to 7.1 years) after the date of treatment assignment in the clinical trial, patients were recalled for eye examination and VA measurement by study-certified personnel following the same protocol used during the clinical trial.

A subgroup of 835 CATT participants provided blood samples for genotyping including 7 single-nucleotide polymorphisms (SNPs) associated with risk of AMD: CFH Y402H (rs1061170), ARMS2 (also called LOC387715), A69S (rs10490924), HTRA1 (rs11200638), C3 R80G (rs2230199), LIPC (rs10468017), CFB (rs4151667), C2 (rs547154); 4 EPAS1 SNPs (rs6726454, rs7589621, rs9679290, rs12712973); 7 SNPs in VEGFA (rs699946, rs699947, rs833069, rs833070, rs1413711, rs2010963, and rs2146323) and 3 SNP in VEGFR2 (rs2071559, rs4576072, rs6828477). A custom made TaqMan OpenArray loaded with TaqMan SNP genotyping assays (Applied Biosystems) was used for genotyping.2931

Statistical Analysis

We previously evaluated the baseline predictors for VA response at Year 1, and at Year 2 using univariate and multivariate regression models.14;15 Following a similar analysis approach, we evaluated the same candidate baseline predictors for 5-year VA outcomes.

We analyzed baseline predictors for four clinically relevant VA outcomes in the study eye at 5 years including: VA score, change in VA score from baseline, ≥3-line (i.e., 15 letters) gain from baseline; and visual acuity 20/200 or worse at 5 years.

We evaluated baseline predictors including demographic, ocular characteristics and OCT findings. Each baseline predictor was first evaluated by univariate analysis (without adjustment for other covariates) using generalized linear models for continuous VA outcomes (i.e., VA score and change in VA score from baseline), and using the Fisher exact test for categorical VA outcomes (i.e., ≥3-line gain from baseline, VA 20/200 or worse). The baseline predictors with a p-value <0.20 in the univariate analysis were included in a multivariate analysis so that the independent effect of each predictor could be assessed. The final multivariate model was created by applying a backward selection procedure that retained only those predictors with a p-value ≤0.05. Adjusted means of VA score and VA score change from baseline were calculated based on the final multivariate linear regression models. The adjusted odds ratios (OR) and their 95% confidence intervals (95% CI) were calculated based on the final multivariate logistic regression models for categorical VA outcomes (≥3-line gain from baseline, VA 20/200 or worse). All data analyses were performed using SAS (v9.4, SAS Institute Inc., Cary, NC), and p<0.05 (without correction for multiple testing) was considered to be statistical significant.

In addition, we evaluated the association between SNPs and each VA outcome by using the linear regression model for continuous VA outcomes, and logistic regression for categorical VA outcomes. For each SNP, the genotype was summarized as the number of risk alleles present, and a linear trend test was performed to compare VA outcomes across the three genotype groups. Since we evaluated a total of 21 SNPs for their association with vision outcomes, p<0.002 was considered as statistically significant.

RESULTS

Among 914 living CATT participants, 647 (71%) patients completed the 5-year follow-up visit. The mean (SD) VA score in the study eye was 58.9 (24.1) letters, the mean loss from baseline was 3.3 (22.3) letters, 114 (17.6%) eyes gained ≥3 lines from baseline and 129 (19.9%) eyes had VA 20/200 or worse.22 The univariate analysis results for baseline predictors of each of VA outcomes are shown in Tables 1, 2 and 3 (online).

Table 1 (online).

Univariate analysis for association of baseline participant characteristics with visual acuity outcomes at 5 years

# of subjects at 5 years (N=647) VA score (letters) at 5 years Change in VA score (letters) from baseline at 5 years ≥ 3-line gain from baseline at 5 years VA 20/200 or worse at 5 years

Baseline Characteristics n Mean (SE) P-value§ Mean (SE) P-value§ n (%) P-value n (%) P-value
Age (years) 0.006 (0.003) 0.40 (0.18) 0.46 (0.54) 0.32
 50–69 102 62.1 (2.4) −1.3 (2.2) 22 (21.6%) 20 (19.6%)
 70–79 260 61.4 (1.4) −2.8 (1.3) 42 (16.2%) 45 (17.3%)
 ≥80 285 55.5 (1.5) −4.5 (1.4) 50 (17.5%) 64 (22.5%)
 As continuous (per year increase) 647 −0.54 (0.13) <0.001 −0.32 (0.12) 0.009 −0.02 (0.01) 0.13 0.02 (0.01) 0.08
Gender 0.75 0.23 0.052 1.00
 Female 419 59.1 (1.2) −2.5 (1.1) 83 (19.8%) 84 (20.0%)
 Male 228 58.5 (1.6) −4.7 (1.4) 31 (13.6%) 45 (19.7%)
Cigarette Smoking 0.28 0.50 0.93 0.03
 Never 274 60.4 (1.4) −2.2 (1.3) 48 (17.5%) 47 (17.2%)
 Former 315 58.3 (1.4) −4.0 (1.3) 57 (18.1%) 63 (20.0%)
 Current 58 55.2 (3.5) −5.2 (3.1) 9 (15.5%) 19 (32.8%)
Hypertension 0.052 0.43 0.74 0.46
 No 209 61.6 (1.6) −2.3 (1.4) 35 (16.7%) 38 (18.2%)
 Yes 438 57.6 (1.2) −3.8 (1.1) 79 (18.0%) 91 (20.8%)
Diabetes 0.50 0.57 0.78 1.00
 No 540 58.6 (1.0) −3.5 (1.0) 94 (17.4%) 108 (20.0%)
 Yes 107 60.3 (2.2) −2.2 (2.2) 20 (18.7%) 21 (19.6%)
Drug group in first 2 years 0.19 0.17 0.08 0.28
 Ranibizumab 328 57.7 (1.3) −4.5 (1.2) 49 (14.9%) 71 (21.6%)
 Bevacizumab 319 60.2 (1.3) −2.1 (1.3) 65 (20.4%) 58 (18.2%)
Treatment regimen in first 2 years 0.60 0.24 0.29 0.44
 Monthly 164 60.5 (1.8) −0.8 (1.7) 33 (20.1%) 27 (16.5%)
 Switched 157 58.6 (2.1) −4.2 (2.0) 31 (19.7%) 33 (21.0%)
 PRN 326 58.2 (1.3) −4.2 (1.2) 50 (15.3%) 69 (21.2%)
§

From one way analysis of variance for comparing mean VA and VA change from baseline.

From Fisher exact test for comparing percent of gaining or losing of ≥3 lines.

P-value in the parenthesis is from the test of linear trend.

SE = standard error, VA = visual acuity.

Table 2 (online).

Univariate analysis for association of baseline ocular and fundus characteristics with visual acuity outcomes at 5 years

# of subjects at 5 years (N=647) VA score (letters) at 5 years Change in VA score (letters) from baseline at 5 years ≥ 3-line gain from baseline at 5 years VA 20/200 or worse at 5 years

Baseline Ocular Characteristics n Mean (SE) P-value§ Mean (SE) P-value§ n (%) P-value n (%) P-value
Baseline VA in study eye <0.001 (<0.001) 0.005 (<0.001) <0.001 (<0.001) <0.001 (<0.001)
 20/25 – 20/40 268 67.7 (1.2) −6.4 (1.2) 6 (2.2%) 27 (10.1%)
 20/50 – 20/80 231 58.1 (1.5) −2.8 (1.5) 57 (24.7%) 42 (18.2%)
 20/100–20/160 110 47.3 (2.3) 0.8 (2.3) 40 (36.4%) 41 (37.3%)
 20/200–20/320 38 35.5 (3.7) 3.6 (3.7) 11 (28.9%) 19 (50.0%)
Baseline VA in fellow eye 0.07 (0.02) 0.23 (0.10) 0.82 (0.56) 0.29 (0.17)
 20/20 or better 229 61.6 (1.6) −2.0 (1.4) 42 (18.3%) 38 (16.6%)
 20/25–20/40 249 58.3 (1.6) −2.9 (1.5) 45 (18.1%) 54 (21.7%)
 20/50 or worse 169 56.1 (1.8) −5.7 (1.7) 27 (16.0%) 37 (21.9%)
Baseline area of CNV (disc area) 0.02 (0.002) 0.01 (0.001) 0.27 (0.14) 0.10 (0.02)
 ≤1 277 63.0 (1.3) −0.0 (1.2) 56 (20.2%) 42 (15.2%)
 >1 to ≤2 127 58.7 (2.2) −3.6 (1.9) 20 (15.7%) 25 (19.7%)
 >2 to ≤4 116 57.3 (2.4) −5.0 (2.4) 22 (19.0%) 24 (20.7%)
 >4 52 54.0 (3.7) −9.9 (3.2) 5 (9.6%) 15 (28.8%)
Baseline total area of CNV lesion (disc area) <0.001 (<0.001) 0.01 (0.001) 0.10 (0.28) 0.003 (<0.001)
 ≤1 222 63.5 (1.4) −0.7 (1.3) 39 (17.6%) 32 (14.4%)
 >1 to ≤2 146 60.3 (1.9) −1.7 (1.9) 29 (19.9%) 26 (17.8%)
 >2 to ≤4 148 56.2 (2.1) −5.0 (2.1) 31 (20.9%) 34 (23.0%)
 >4 109 51.0 (2.6) −8.7 (2.2) 11 (10.1%) 34 (31.2%)
Location of lesion 0.02 0.75 0.03 0.04
 Not Subfoveal 170 62.7 (1.6) −2.8 (1.6) 21 (12.4%) 25 (14.7%)
 Subfoveal 469 57.5 (1.2) −3.4 (1.1) 92 (19.6%) 103 (22.0%)
Lesion type 0.11 0.10 <0.001 0.053
 Occult only 392 60.1 (1.2) −4.5 (1.1) 50 (12.8%) 69 (17.6%)
 Predominantly or Minimally classic 242 56.9 (1.6) −1.5 (1.5) 62 (25.6%) 58 (24.0%)
RAP lesion 0.51 0.21 0.16 0.74
 No 575 58.6 (1.0) −3.6 (0.9) 98 (17.0%) 117 (20.3%)
 Yes 62 60.7 (3.0) 0.1 (2.9) 15 (24.2%) 11 (17.7%)
Blocked fluorescence lesion 0.39 0.10 0.08 0.57
 No 547 58.6 (1.0) −3.8 (1.0) 91 (16.6%) 112 (20.5%)
 Yes 93 60.9 (2.4) 0.3 (2.2) 23 (24.7%) 16 (17.2%)
Fibrotic or atrophic scar 0.03 0.84 0.07 0.26
 No 620 59.3 (1.0) −3.2 (0.9) 107 (17.3%) 122 (19.7%)
 Yes 20 47.4 (6.0) −4.3 (6.2) 7 (35.0%) 6 (30.0%)
Hemorrhage associated with the lesion 0.006 (0.004) 0.26 (0.57) <0.001 (0.01) 0.02 (0.01)
 None 249 61.2 (1.4) −4.6 (1.4) 27 (10.8%) 42 (16.9%)
 ≤1 disc area 330 58.7 (1.4) −1.9 (1.3) 77 (23.3%) 66 (20.0%)
 >1 disc area 60 50.2 (3.3) −5.4 (2.7) 9 (15.0%) 20 (33.3%)
Geographic atrophy 0.13 0.81 0.55 0.57
 None 600 59.3 (1.0) −3.3 (0.9) 104 (17.3%) 118 (19.7%)
 Present 47 53.7 (3.6) −4.1 (3.3) 10 (21.3%) 11 (23.4%)
Intraocular pressure (mmHg) 0.15 (0.06) 0.65 (0.44) 0.61 (0.34) 0.58 (0.45)
 <10 10 62.9 (6.6) −3.8 (6.8) 2 (20.0%) 2 (20.0%)
 10–20 602 59.3 (1.0) −3.1 (0.9) 108 (17.9%) 118 (19.6%)
 >20 35 51.4 (5.0) −6.7 (4.4) 4 (11.4%) 9 (25.7%)
Glaucoma 0.52 0.51 0.24 0.52
 No 579 59.1 (1.0) −3.1 (0.9) 106 (18.3%) 118 (20.4%)
 Yes 68 57.1 (3.0) −5.0 (2.8) 8 (11.8%) 11 (16.2%)
CNV in fellow eye 0.35 0.68 1.00 0.43
 None 460 58.5 (1.2) −3.1 (1.1) 80 (17.4%) 95 (20.7%)
 Present 170 60.5 (1.7) −4.0 (1.6) 30 (17.6%) 30 (17.6%)
§

From one way analysis of variance for comparing mean VA and VA change from baseline.

From Fisher exact test for comparing percent of gain or loss of ≥3 lines from baseline.

P-value in the parenthesis is from the test of linear trend.

Unknown status for a specific feature was excluded from the univariate analysis for this specific feature.

SE = standard error, VA = visual acuity, CNV = choroid neovascularization, RAP = retinal angiomatous proliferans.

Table 3 (online).

Univariate analysis for association of baseline OCT features with visual outcomes at 5 years

# of subjects at 5 years (N=647) VA score (letters) at 5 years Change in VA score (letters) from baseline at 5 years ≥ 3-line gain from baseline at 5 years VA 20/200 or worse at 5 years

Baseline OCT features n Mean (SE) P-value Mean (SE) P-value n (%) P-Value n (%) P-Value
Retinal thickness (microns) 0.02 (0.02) 0.85 (0.65) 0.46 (0.25) 0.33 (0.20)
 <120 65 60.2 (3.5) −4.8 (3.1) 8 (12.3%) 12 (18.5%)
 120 to 212 351 61.0 (1.2) −3.2 (1.1) 62 (17.7%) 64 (18.2%)
 >212 229 55.3 (1.6) −3.0 (1.5) 44 (19.2%) 53 (23.1%)
Subretinal fluid thickness (microns) 0.10 (0.16) 0.63 (0.84) 0.83 (0.77) 0.27 (0.26)
 0 410 57.6 (1.2) −3.6 (1.1) 72 (17.6%) 89 (21.7%)
 >0 to ≤25 54 64.6 (3.2) −0.5 (2.8) 8 (14.8%) 7 (13.0%)
 >25 181 60.2 (1.8) −3.4 (1.7) 34 (18.8%) 33 (18.2%)
Subretinal tissue complex thickness (microns) by quartile 0.04 (0.005) 0.36 (0.63) 0.06 (0.21) 0.27 (0.06)
 1st (>0 to ≤75) 157 61.7 (1.8) −5.4 (1.8) 18 (11.5%) 27 (17.2%)
 2nd (>75 to ≤160) 147 61.3 (1.9) −2.0 (1.8) 30 (20.4%) 25 (17.0%)
 3rd (>160 to ≤275) 172 58.1 (1.9) −1.6 (1.7) 38 (22.1%) 35 (20.3%)
 4th (>275) 169 54.9 (2.0) −4.3 (1.8) 28 (16.6%) 42 (24.9%)
Retinal + subretinal fluid thickness (microns) by quartiles 0.02 (0.007) 0.91 (0.91) 0.46 (0.19) 0.08 (0.10)
 1st (≤160) 156 61.2 (1.9) −4.2 (1.7) 23 (14.7%) 29 (18.6%)
 2nd (>160 to ≤225) 164 60.4 (1.8) −2.4 (1.7) 30 (18.3%) 30 (18.3%)
 3rd (>225 to ≤320) 171 60.1 (1.8) −3.1 (1.6) 28 (16.4%) 28 (16.4%)
 4th (>320) 154 53.5 (2.1) −3.6 (2.1) 33 (21.4%) 42 (27.3%)
Total foveal thickness (microns) by quartile <0.001 (<0.001) 0.67 (0.90) 0.01 (0.048) <0.001 (<0.001)
 1st (≤325) 161 63.1 (1.6) −4.3 (1.6) 16 (9.9%) 25 (15.5%)
 2nd (>325 to ≤425) 172 63.6 (1.7) −1.5 (1.8) 38 (22.1%) 22 (12.8%)
 3rd (>425 to ≤550) 144 58.4 (2.1) −3.5 (1.9) 26 (18.1%) 30 (20.8%)
 4th (>550) 168 50.5 (2.0) −3.9 (1.8) 34 (20.2%) 52 (31.0%)
Intra-retinal fluid 0.003 0.43 0.03 0.06
 No Fluid 170 64.1 (1.7) −3.2 (1.6) 25 (14.7%) 24 (14.1%)
 Fluid not in foveal center 179 58.3 (1.9) −5.2 (1.7) 24 (13.4%) 40 (22.3%)
 Fluid in foveal center 285 56.1 (1.4) −2.5 (1.3) 63 (22.1%) 64 (22.5%)
Sub-retinal fluid 0.009 0.19 0.95 0.046
 No Fluid 93 52.2 (2.8) −7.2 (2.7) 16 (17.2%) 27 (29.0%)
 Fluid not in foveal center 302 59.3 (1.3) −2.5 (1.2) 55 (18.2%) 59 (19.5%)
 Fluid in foveal center 245 61.2 (1.5) −2.9 (1.5) 42 (17.1%) 41 (16.7%)
Sub-RPE fluid 0.15 0.10 0.10 0.44
 No Fluid 186 59.7 (1.7) −3.3 (1.6) 30 (16.1%) 34 (18.3%)
 Fluid not in foveal center 216 61.5 (1.6) −0.9 (1.5) 48 (22.2%) 38 (17.6%)
 Fluid in foveal center 206 57.0 (1.8) −5.6 (1.6) 30 (14.6%) 46 (22.3%)
RPE elevation 0.03 0.04 <0.001 0.47
 No 85 64.2 (2.5) 1.2 (2.5) 27 (31.8%) 14 (16.5%)
 Yes 551 58.1 (1.0) −4.1 (0.9) 84 (15.2%) 112 (20.3%)
RPEE maximum height (mm) by quartiles 0.50 (0.36) 0.45 (0.23) 0.52 (0.79) 0.62 (0.41)
 1st (≤3.0) 96 58.5 (2.4) −3.6 (2.1) 14 (14.6%) 19 (19.8%)
 2nd (>3.0 to ≤5.0) 115 61.5 (2.2) −1.7 (2.1) 17 (14.8%) 18 (15.7%)
 3rd (>5.0 to ≤11.5) 167 58.1 (1.9) −3.6 (1.8) 31 (18.6%) 34 (20.4%)
 4th (>11.5) 159 57.2 (1.9) −6.1 (1.7) 20 (12.6%) 35 (22.0%)
RPEE maximum width (mm) by quartiles 0.80 (0.41) 0.38 (0.74) 0.38 (0.97) 0.97 (0.86)
 1st (<=12.0) 63 60.7 (3.0) −4.4 (2.6) 8 (12.7%) 11 (17.5%)
 2nd (>12.0 to ≤31.5) 153 59.1 (2.0) −3.5 (1.8) 24 (15.7%) 31 (20.3%)
 3rd (>31.5 to ≤55.0) 138 59.8 (1.8) −0.9 (1.8) 28 (20.3%) 26 (18.8%)
 4th (>55.0) 157 57.5 (2.0) −5.4 (1.9) 21 (13.4%) 31 (19.7%)
§

From one way analysis of variance for comparing mean VA and VA change from baseline.

From Fisher exact test for comparing percent of gaining or loss of ≥3 lines.

OCT= Optical coherence tomography, RPE= retinal pigment epithelium, RPEE=RPE elevation.

P-value in the parenthesis is from the test of linear trend.

Unknown status for a specific feature was excluded from the univariate analysis for this specific feature.

In the multivariate analysis (Table 4), the statistically significant baseline predictors for worse VA score at 5 years were: worse baseline VA in study eye (p<0.0001), larger baseline total area of CNV lesion (p=0.001) and absence of subretinal fluid (p=0.03). The statistically significant baseline predictors for more VA loss from baseline at 5 years were: better baseline VA in study eye (p<0.001), larger baseline total area of CNV lesion (p=0.002), and absence of subretinal fluid (p=0.03) (Table 4).

Table 4.

Multivariate analysis for baseline predictors of VA score and VA score change from baseline at 5 years

VA score at 5 years VA score change from baseline at 5 years
Baseline Characteristics N* Adjusted Mean (SE)§ P-value Adjusted Mean (SE) § P-value
Baseline VA in study eye <0.001 <0.001
 20/25 – 20/40 267 66.9 (1.4) −7.2 (1.4)
 20/50 – 20/80 229 58.4 (1.5) −2.6 (1.5)
 20/100–20/160 107 48.6 (2.1) 2.0 (2.1)
 20/200–20/320 37 36.7 (3.6) 4.6 (3.6)
Baseline total area of CNV lesion (disc area) 0.001 0.002
 ≤1 218 62.7 (1.5) 0.3 (1.5)
 >1 to ≤2 145 60.8 (1.8) −1.8 (1.8)
 >2 to ≤4 147 56.8 (1.8) −5.4 (1.8)
 >4 108 52.2 (2.1) −10.1 (2.1)
 Unknown 22 59.1 (4.7) −1.4 (4.7)
Baseline subretinal fluid 0.03 0.03
 No Fluid 93 53.2 (2.3) −9.1 (2.3)
 Fluid not in foveal center 302 59.8 (1.3) −2.4 (1.3)
 Fluid in foveal center 245 60.3 (1.4) −2.2 (1.4)
*

7 eyes with ungradeable subretinal fluid were excluded.

SE = standard error, VA = visual acuity, CNV = choroid neovascularization.

§

From the multivariate model that included baseline visual acuity in study eye, baseline total area of CNV lesion, and baseline subretinal fluid.

In the multivariate analysis (Table 5), the statistically significant baseline predictors of a ≥3-line gain from baseline at 5 years were: female gender (OR=1.79, p=0.03), drug treatment in the first two years (OR=1.62 for bevacizumab as compared to ranibizumab, p=0.04), baseline VA in study eye (OR=33.9 for VA 20/100 to 20/160 vs 20/40 or better, p<0.001), and absence of RPE elevation (OR=3.85, p<0.001).

Table 5.

Multivariate analysis for baseline predictors of 3-line gain, and 20/200 or worse in VA at 5 Years

≥3-line gain from baseline at 5 years VA 20/200 or worse at 5 years
Baseline Characteristics N n (%) Adjusted OR (95% CI)* n (%) Adjusted OR (95% CI)§
Gender P=0.03
 Female 419 81 (19.6%) 1.0
 Male 228 30 (13.5%) 0.56 (0.34, 0.93)
Cigarette smoking P=0.02
 Never 274 47 (17.2%) 1.0
 Quit 315 63 (20.0%) 1.21 (0.78, 1.88)
 Current 58 19 (32.8%) 2.61 (1.32, 5.15)
Drug group in first 2 years P=0.04
 Ranibizumab 328 46 (14.2%) 1.0
 Bevacizumab 319 65 (20.8%) 1.62 (1.01, 2.58)
Baseline VA in study eye P<0.001 P<0.001
 68–82 letters, 20/25 – 20/40 268 6 (2.3%) 1.0 6 (2.2%) 1.0
 53–67 letters, 20/50 – 20/80 231 55 (24.0%) 13.5 (5.6, 32.5) 57 (24.7%) 1.95 (1.15, 3.31)
 38–52 letters, 20/100–20/160 110 40 (37.4%) 33.9 (13.4, 85.7) 40 (36.4%) 5.16 (2.93, 9.09)
 23–37 letters, 20/200–20/320 38 10 (27.8%) 17.0 (5.6, 51.9) 11 (28.9%) 8.03 (3.73, 17.3)
Baseline total area of CNV lesion (disc area) P=0.045
 ≤1 222 32 (14.4%) 1.0
 >1 to ≤2 146 26 (17.8%) 1.15 (0.63, 2.08)
 >2 to ≤4 148 34 (23.0%) 1.60 (0.91, 2.83)
 >4 109 34 (31.2%) 2.35 (1.31, 4.21)
 Unknown 22 3 (13.6%) 1.02 (0.27, 3.79)
RPE elevation P<0.001
 No 85 27 (31.8%) 1.0
 Yes 551 84 (15.2%) 0.26 (0.14, 0.48)

OR=odds ratio, CI=confidence interval, SE = standard error, VA = visual acuity, CNV = choroid neovascularization, RPE= retinal pigment epithelium.

*

From the multivariate model that included gender, drug group in first 2 years, baseline visual acuity in study eye, and baseline RPE elevation.

§

From the multivariate model that included cigarette smoking, baseline visual acuity in study eye, and baseline total area of CNV lesion.

In the multivariate analysis (Table 5), the statistically significant baseline predictors for VA 20/200 or worse at 5 years were: current smoking (OR=2.61, p=0.02), worse baseline VA in study eye (OR=8.0 for VA 20/200 or worse vs 20/40 or better, p<0.001), and larger baseline total area of CNV lesion (OR=2.35 for total lesion area >4 vs. ≤1 disc area, p=0.045).

The associations of 21 SNPs in 6 genes related to the risk of AMD and 3 genes that regulate VEGFA expression with VA outcomes are shown in Table 6 (online). Among 539 CATT participants who had genetic data and completed the 5-year follow-up visit, none of the SNPs were significantly associated with VA outcomes.

Table 6 (online).

Univariate analysis for association of genotype with VA outcomes

# of Subjects at Year 5 (N=539) VA score (letters) at year 5 Change in VA score (letters) from baseline at year 5 >= 3-line gain from baseline at year 5 VA 20/200 or worse at year 5
SNP and genotype n Mean (SE) P-value Mean (SE) P-value n (%) P-Value n (%) P-value
7 SNPs related to AMD
CFH, rs1061170 0.88 0.62 0.56 0.92
 TT 102 61.2 (2.4) −2.0 (2.2) 15 (14.7%) 19 (18.6%)
 TC 260 57.9 (1.5) −3.5 (1.4) 51 (19.6%) 50 (19.2%)
 CC 177 60.1 (1.7) −3.5 (1.6) 24 (13.6%) 34 (19.2%)
ARMS2, rs10490924 0.88 0.51 0.92 0.66
 GG 180 59.6 (1.8) −3.8 (1.7) 32 (17.8%) 36 (20.0%)
 GT 253 59.0 (1.5) −3.3 (1.4) 39 (15.4%) 48 (19.0%)
 TT 106 59.3 (2.1) −2.0 (2.0) 19 (17.9%) 19 (17.9%)
HTRA1, rs11200638 0.78 0.69 0.98 0.74
 GG 184 59.8 (1.8) −3.4 (1.7) 33 (17.9%) 36 (19.6%)
 AG 254 58.9 (1.5) −3.5 (1.4) 38 (15.0%) 49 (19.3%)
 AA 101 59.2 (2.2) −2.1 (2.1) 19 (18.8%) 18 (17.8%)
C3, rs2230199 0.46 0.75 0.70 0.86
 CC 291 58.8 (1.4) −3.2 (1.3) 51 (17.5%) 54 (18.6%)
 CG 208 59.2 (1.6) −3.8 (1.6) 32 (15.4%) 44 (21.2%)
 GG 40 62.6 (3.1) −0.5 (2.6) 7 (17.5%) 5 (12.5%)
LIPC, rs10468017 0.25 0.20 0.91 0.18
 TT 32 55.4 (4.4) −9.3 (3.6) 2 (6.3%) 7 (21.9%)
 CT 220 62.1 (1.4) 0.3 (1.3) 44 (20.0%) 33 (15.0%)
 CC 287 57.5 (1.5) −5.3 (1.4) 44 (15.3%) 63 (22.0%)
CFB, rs4151667 0.28 0.38 0.31 0.58
 AA 2 38.5 (36.5) −16.5 (14.5) 0 (0.0%) 1 (50.0%)
 AT 26 56.8 (4.5) −5.3 (4.1) 3 (11.5%) 5 (19.2%)
 TT 511 59.5 (1.0) −3.0 (1.0) 87 (17.0%) 97 (19.0%)
C2, rs547154 0.37 0.95 0.79 0.79
 TT 2 55.5 (4.5) −10.0 (13.0) 0 (0.0%) 0 (0.0%)
 GT 92 57.5 (2.5) −2.9 (2.3) 17 (18.5%) 19 (20.7%)
 GG 443 59.8 (1.1) −3.0 (1.0) 73 (16.5%) 82 (18.5%)
4 EPAS1 SNPs
rs6726454 0.51 0.24 0.02 0.50
 AA 138 57.4 (2.1) −5.0 (1.8) 16 (11.6%) 25 (18.1%)
 AG 265 60.2 (1.4) −3.0 (1.4) 44 (16.6%) 49 (18.5%)
 GG 136 59.3 (2.1) −1.8 (1.9) 30 (22.1%) 29 (21.3%)
rs7589621 0.69 0.93 0.19 0.12
 GG 280 59.4 (1.4) −3.4 (1.3) 41 (14.6%) 49 (17.5%)
 AG 215 59.7 (1.6) −2.9 (1.6) 40 (18.6%) 41 (19.1%)
 AA 44 56.7 (3.8) −3.6 (3.5) 9 (20.5%) 13 (29.5%)
rs9679290 0.76 0.42 0.10 0.60
 GG 162 57.9 (1.9) −5.0 (1.7) 20 (12.3%) 31 (19.1%)
 CG 269 60.5 (1.4) −2.1 (1.3) 49 (18.2%) 48 (17.8%)
 CC 108 58.3 (2.5) −3.3 (2.2) 21 (19.4%) 24 (22.2%)
rs12712973 1.00 0.74 0.10 0.25
 CC 145 58.3 (2.1) −2.8 (1.9) 30 (20.7%) 33 (22.8%)
 AC 273 60.3 (1.4) −3.2 (1.3) 44 (16.1%) 49 (17.9%)
 AA 121 58.1 (2.2) −3.7 (1.9) 16 (13.2%) 21 (17.4%)
7 SNPs in VEGFA
rs699946 0.17 0.43 0.72 0.09
 GG 21 62.8 (4.2) −4.6 (4.4) 5 (23.8%) 2 (9.5%)
 AG 175 60.8 (1.7) −1.6 (1.5) 28 (16.0%) 29 (16.6%)
 AA 343 58.2 (1.3) −4.0 (1.2) 57 (16.6%) 72 (21.0%)
rs699947 0.88 0.91 0.98 0.64
 CC 155 59.7 (1.8) −3.0 (1.6) 23 (14.8%) 27 (17.4%)
 AC 266 58.9 (1.5) −3.3 (1.4) 50 (18.8%) 53 (19.9%)
 AA 118 59.4 (2.3) −3.2 (2.0) 17 (14.4%) 23 (19.5%)
rs833069 0.23 0.20 0.20 0.14
 TT 237 58.0 (1.7) −4.5 (1.6) 36 (15.2%) 51 (21.5%)
 TC 231 59.9 (1.5) −2.5 (1.4) 38 (16.5%) 42 (18.2%)
 CC 71 61.4 (2.5) −1.1 (2.3) 16 (22.5%) 10 (14.1%)
rs833070 0.95 0.84 0.71 0.82
 TT 122 59.7 (2.2) −3.6 (1.9) 16 (13.1%) 23 (18.9%)
 CT 261 59.0 (1.5) −3.1 (1.4) 50 (19.2%) 52 (19.9%)
 CC 156 59.4 (1.8) −3.1 (1.6) 24 (15.4%) 28 (17.9%)
rs1413711 0.91 0.91 0.83 0.82
 TT 124 59.8 (2.2) −3.4 (1.9) 17 (13.7%) 23 (18.5%)
 CT 257 58.9 (1.5) −3.2 (1.5) 49 (19.1%) 52 (20.2%)
 CC 158 59.4 (1.8) −3.1 (1.6) 24 (15.2%) 28 (17.7%)
rs2010963 0.22 0.19 0.16 0.17
 CC 68 61.3 (2.6) −1.1 (2.4) 16 (23.5%) 10 (14.7%)
 CG 233 60.1 (1.5) −2.5 (1.3) 38 (16.3%) 42 (18.0%)
 GG 238 57.9 (1.7) −4.5 (1.6) 36 (15.1%) 51 (21.4%)
rs2071559 0.78 0.72 0.11 0.71
 GG 143 60.5 (1.8) −2.2 (1.7) 19 (13.3%) 22 (15.4%)
 AG 281 57.6 (1.5) −4.7 (1.3) 47 (16.7%) 62 (22.1%)
 AA 115 61.7 (2.1) −0.9 (2.1) 24 (20.9%) 19 (16.5%)
3 SNPs in VEGFR2
rs2146323 0.52 0.66 0.89 0.92
 CC 240 58.4 (1.5) −4.0 (1.4) 38 (15.8%) 46 (19.2%)
 AC 240 59.9 (1.6) −2.3 (1.4) 45 (18.8%) 45 (18.8%)
 AA 59 59.9 (3.2) −3.7 (2.7) 7 (11.9%) 12 (20.3%)
rs4576072 0.21 0.41 0.73 0.42
 TT 376 58.7 (1.3) −3.6 (1.1) 65 (17.3%) 74 (19.7%)
 CT 149 59.7 (1.8) −2.8 (1.7) 22 (14.8%) 28 (18.8%)
 CC 14 69.9 (3.7) 2.4 (5.4) 3 (21.4%) 1 (7.1%)
rs6828477 0.70 0.37 0.31 0.45
 TT 155 58.9 (1.9) −4.3 (1.7) 22 (14.2%) 30 (19.4%)
 CT 294 59.2 (1.4) −3.1 (1.3) 51 (17.3%) 60 (20.4%)
 CC 90 60.1 (2.5) −1.7 (2.5) 17 (18.9%) 13 (14.4%)

SNP = Single-nucleotide polymorphism, AMD=age-related macular degeneration, VA=visual acuity, SE= standard error. P-value is for the test of linear trend.

DISCUSSION

This study evaluated baseline predictors for long-term VA outcomes among the CATT participants who were treated with ranibizumab or bevacizumab in the 2-year clinical trial, and followed-up for an additional 3 years after exiting from the clinical trial. We found that worse baseline VA, larger baseline total area of CNV lesion and presence of baseline RPE elevation, which were associated with 1- or 2-year VA outcomes, remained independently associated with worse VA at 5 years. In addition, we found that male gender, cigarette smoking, absence of subretinal fluid, and treatment with ranibizumab in the first 2 years were independently associated with worse vision outcomes at 5 years.

Despite the reduced sample size and substantial variation in treatment pattern after exiting from the 2-year CATT clinical trial,22 some of the baseline predictors for Year 1 and Year 2 VA outcomes remained, including baseline VA in the study eye, baseline total area of CNV lesion, and RPE elevation. Worse baseline VA and larger CNV lesion have been consistently demonstrated to be significantly associated with worse VA outcomes at one and two years.3234 Consistent with our study findings, the results from the HORIZON study of 388 patients who completed 4 years of follow-up beyond their 2-year clinical trial showed that younger age, worse baseline VA and smaller area of CNV lesion were associated with a gain of ≥3 lines from baseline.25 Early detection of CNV and timely treatment before substantial loss of VA and lesion growth are important to maximize the patient’s visual acuity.3538

At 5-years, we found eyes treated with ranibizumab in the first 2 years had a lower percentage with ≥3-line gain from baseline than patients treated with bevacizumab (20.4% vs. 14.9%, p=0.08), and the difference was statistically significant (adjusted OR=1.62, p=0.04) in the multivariate analysis after accounting for gender, study eye baseline VA score and RPE elevation at baseline. During the clinical trial, there was no difference between bevacizumab and ranibizumab in the percentage with ≥3-line gain from baseline at 1 year (29.7% vs. 29.5%, p=0.94) or at 2 years (28.8% vs. 30.6%, p=0.53).7,8 The interpretation of this finding should be cautious, because two-thirds of these eyes received treatment with either bevacizumab or aflibercept during the 3 years after the clinical trial.22 The difference in VA improvement at 5-years may be attributable to morphological differences at 5-years between the two drugs, as CATT eyes treated with ranibizumab in the first 2 years tended to have larger lesion area (mean 13.9 vs. 11.9 mm2, p=0.06),22 and a higher rate of GA growth (0.38 vs. 0.28 mm/year, p=0.009).39

Although current cigarette smoking at enrollment was uncommon (9%) in CATT participants, current cigarette smoking at baseline was independently associated with a 2.6 times higher risk of VA 20/200 or worse in the study eye at 5 years, while smoking in the past was not associated with increased risk of worse VA (VA 20/200 or worse 33%, 20%, 17% in current, former, and non-smokers respectively). Current smokers had only a slightly higher proportion with VA 20/200 or worse at Year 1 (8.5%, 6.3% and 7.2% in current, former, and non-smokers respectively, p=0.70) or at Year 2 (9.2%, 7.3% and 7.5% in current, former, and non-smokers respectively, p=0.82). The association between smoking and worse long-term VA outcome could be due to the fact that cigarette smoking increases oxidative stress, promotes angiogenesis, damages choroidal vessels and diminishes choroidal blood flow, and reduces choroidal thickness.4044 The Macular Photocoagulation Study found that cigarette smoking was associated with a higher recurrence rate of CNV after laser photocoagulation.45 Cigarette smoking may also affect the response to treatment with anti-VEGF agents. Lee et al found that current smoking was independently associated with poor VA improvement (OR=7.3) after 3 months of treatment with ranibizumab for neovascular AMD as compared to non-smokers.41 Piermarocchi et al also found that smoking was independently associated with worse VA outcomes after 1 year of treatment with ranibizumab. 46 However, others studies have not found a significant association of smoking with treatment response.12;47 Overall, these findings provide further support for encouraging patients to quit smoking.

We found that presence of subretinal fluid at baseline was associated with better VA score at 5 years and less VA loss from baseline. In our previous cross-sectional analysis, we also found that presence of subretinal fluid was associated with better VA at Year 1 and Year 2.48;49 Possible explanations for these effects include that subretinal fluid may protect the photoreceptors from toxicity related to direct contact with underlying diseased RPE, or that subretinal fluid may contain neuroprotective substances. We have previously found that in eyes with subretinal fluid there was a lower risk of developing GA than in those eyes without subretinal fluid (adjusted hazard ratio 0.52).50 Because of the association between subretinal fluid and good VA, a a clinical trial is ongoing to evaluate whether tolerating subretinal fluid results in similar visual acuity as compared to treatment for complete resolution of both intra-retinal fluid and subretinal fluid when treating with ranibizuamb 0.5 mg.51

We have previously evaluated baseline predictors for VA score change from baseline at years 1 and 2, VA score and ≥3-lines gain from baseline at year 1.14;15 However, we did not evaluate the baseline predictors for worse VA outcomes because of the small number of eyes with worse VA outcome at Years 1 or 2 during the clinical trial. With more eyes losing vision by 5 years, we evaluated VA 20/200 or worse in the study eye. We found that current smoking, worse baseline VA and larger CNV lesion area were independently associated with higher risk of VA 20/200 or worse at 5 years.

The role of single-nucleotide polymorphisms on the response to anti-VEGF treatment for neovascular AMD has been evaluated in many studies, including genes related to incidence of AMD, genes associated with VEGF, and EPAS1 genes. However, the findings from these studies are inconsistent.12 In CATT, we have previously evaluated these genetic associations with the morphological or vision outcomes at year 1 or at year 2, and did not find any significant associations. 2931 Consistent with our previous findings, we found that none of these genetic factors were significantly associated with vision outcomes at Year 5.

The results of this study are limited by the fact that only 71% of living patients from the original clinical trial population returned for VA measurement, and patients who did not return had a mean age 2 years older and mean baseline VA 3 letters worse than patients who returned.22 This may limit the generalizability of our study findings. However, our sensitivity analysis among 518 participants who underwent in-clinic visual acuity measurements at centers with in-clinic visit rate of at least 50% provided very similar results. The study is also limited by the multiple testing of four-related VA outcomes, as false positive findings can occur with multiple testing.

In conclusion, similar to the previous findings for the predictors of VA outcomes at 1 or 2 years in CATT, worse baseline VA and larger CNV lesion size were strongly associated with worse long-term VA, and none of the studied genetic factors were associated VA outcomes at 5-years. Current smoking was not associated with VA outcomes at 1 or 2 years but was associated with a higher risk of VA 20/200 or worse at 5-years. Early detection and treatment of neovascular AMD and quitting smoking may improve their long-term VA outcomes from anti-VEGF treatment.

Supplementary Material

1
2
3
4
5

Acknowledgments

Supported by cooperative agreements U10 EY017823, U10 EY017825, U10 EY017826, and U10 EY017828 from the National Eye Institute, National Institutes of Health, Department of Health and Human Services.

Footnotes

This article contains online-only material. The following should appear online-only: Tables 1, 2, 3, 6.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Berg K, Pedersen TR, Sandvik L, Bragadottir R. Comparison of ranibizumab and bevacizumab for neovascular age-related macular degeneration according to LUCAS treat-and-extend protocol. Ophthalmology. 2015;122:146–52. doi: 10.1016/j.ophtha.2014.07.041. [DOI] [PubMed] [Google Scholar]
  • 2.Brown DM, Kaiser PK, Michels M, et al. Ranibizumab versus verteporfin for neovascular age-related macular degeneration. N Engl J Med. 2006;355:1432–44. doi: 10.1056/NEJMoa062655. [DOI] [PubMed] [Google Scholar]
  • 3.Chakravarthy U, Harding SP, Rogers CA, et al. Ranibizumab versus bevacizumab to treat neovascular age-related macular degeneration: one-year findings from the IVAN randomized trial. Ophthalmology. 2012;119:1399–411. doi: 10.1016/j.ophtha.2012.04.015. [DOI] [PubMed] [Google Scholar]
  • 4.Chakravarthy U, Harding SP, Rogers CA, et al. Alternative treatments to inhibit VEGF in age-related choroidal neovascularisation: 2-year findings of the IVAN randomised controlled trial. Lancet. 2013;382:1258–67. doi: 10.1016/S0140-6736(13)61501-9. [DOI] [PubMed] [Google Scholar]
  • 5.Kodjikian L, Souied EH, Mimoun G, et al. Ranibizumab versus Bevacizumab for Neovascular Age-related Macular Degeneration: Results from the GEFAL Noninferiority Randomized Trial. Ophthalmology. 2013;120:2300–9. doi: 10.1016/j.ophtha.2013.06.020. [DOI] [PubMed] [Google Scholar]
  • 6.Krebs I, Schmetterer L, Boltz A, et al. A randomised double-masked trial comparing the visual outcome after treatment with ranibizumab or bevacizumab in patients with neovascular age-related macular degeneration. Br J Ophthalmol. 2013;97:266–71. doi: 10.1136/bjophthalmol-2012-302391. [DOI] [PubMed] [Google Scholar]
  • 7.Martin DF, Maguire MG, Ying GS, et al. Ranibizumab and bevacizumab for neovascular age-related macular degeneration. N Engl J Med. 2011;364:1897–908. doi: 10.1056/NEJMoa1102673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Martin DF, Maguire MG, Fine SL, et al. Ranibizumab and bevacizumab for treatment of neovascular age-related macular degeneration: two-year results. Ophthalmology. 2012;119:1388–98. doi: 10.1016/j.ophtha.2012.03.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Rosenfeld PJ, Brown DM, Heier JS, et al. Ranibizumab for neovascular age-related macular degeneration. N Engl J Med. 2006;355:1419–31. doi: 10.1056/NEJMoa054481. [DOI] [PubMed] [Google Scholar]
  • 10.Schauwvlieghe AM, Dijkman G, Hooymans JM, et al. Comparing the Effectiveness of Bevacizumab to Ranibizumab in Patients with Exudative Age-Related Macular Degeneration. The BRAMD Study. PLoS One. 2016;11:e0153052. doi: 10.1371/journal.pone.0153052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Heier JS, Brown DM, Chong V, et al. Intravitreal aflibercept (VEGF trap-eye) in wet age-related macular degeneration. Ophthalmology. 2012;119:2537–48. doi: 10.1016/j.ophtha.2012.09.006. [DOI] [PubMed] [Google Scholar]
  • 12.Finger RP, Wickremasinghe SS, Baird PN, Guymer RH. Predictors of anti-VEGF treatment response in neovascular age-related macular degeneration. Surv Ophthalmol. 2014;59:1–18. doi: 10.1016/j.survophthal.2013.03.009. [DOI] [PubMed] [Google Scholar]
  • 13.Fang K, Tian J, Qing X, et al. Predictors of visual response to intravitreal bevacizumab for treatment of neovascular age-related macular degeneration. J Ophthalmol. 2013;2013:676049. doi: 10.1155/2013/676049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ying GS, Maguire MG, Daniel E, et al. Association of Baseline Characteristics and Early Vision Response with 2-Year Vision Outcomes in the Comparison of AMD Treatments Trials (CATT) Ophthalmology. 2015;122:2523–31. doi: 10.1016/j.ophtha.2015.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ying GS, Huang J, Maguire MG, et al. Baseline predictors for one-year visual outcomes with ranibizumab or bevacizumab for neovascular age-related macular degeneration. Ophthalmology. 2013;120:122–9. doi: 10.1016/j.ophtha.2012.07.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tsilimbaris MK, Lopez-Galvez MI, Gallego-Pinazo R, et al. Epidemiological and Clinical Baseline Characteristics as Predictive Biomarkers of Response to Anti-VEGF Treatment in Patients with Neovascular AMD. J Ophthalmol. 2016;2016:4367631. doi: 10.1155/2016/4367631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Bhisitkul RB, Desai SJ, Boyer DS, et al. Fellow Eye Comparisons for 7-Year Outcomes in Ranibizumab-Treated AMD Subjects from ANCHOR, MARINA, and HORIZON (SEVEN-UP Study) Ophthalmology. 2016;123:1269–77. doi: 10.1016/j.ophtha.2016.01.033. [DOI] [PubMed] [Google Scholar]
  • 18.Kaiser PK, Brown DM, Zhang K, et al. Ranibizumab for predominantly classic neovascular age-related macular degeneration: subgroup analysis of first-year ANCHOR results. Am J Ophthalmol. 2007;144:850–7. doi: 10.1016/j.ajo.2007.08.012. [DOI] [PubMed] [Google Scholar]
  • 19.Boyer DS, Antoszyk AN, Awh CC, et al. Subgroup analysis of the MARINA study of ranibizumab in neovascular age-related macular degeneration. Ophthalmology. 2007;114:246–52. doi: 10.1016/j.ophtha.2006.10.045. [DOI] [PubMed] [Google Scholar]
  • 20.Arevalo JF, Lasave AF, Wu L, et al. INTRAVITREAL BEVACIZUMAB FOR CHOROIDAL NEOVASCULARIZATION IN AGE-RELATED MACULAR DEGENERATION: 5-Year Results of The Pan-American Collaborative Retina Study Group. Retina. 2016;36:859–67. doi: 10.1097/IAE.0000000000000827. [DOI] [PubMed] [Google Scholar]
  • 21.Gillies MC, Campain A, Barthelmes D, et al. Long-Term Outcomes of Treatment of Neovascular Age-Related Macular Degeneration: Data from an Observational Study. Ophthalmology. 2015;122:1837–45. doi: 10.1016/j.ophtha.2015.05.010. [DOI] [PubMed] [Google Scholar]
  • 22.Maguire MG, Martin DF, Ying GS, et al. Five-Year Outcomes with Anti-Vascular Endothelial Growth Factor Treatment of Neovascular Age-Related Macular Degeneration: The Comparison of Age-Related Macular Degeneration Treatments Trials. Ophthalmology. 2016;123:1751–61. doi: 10.1016/j.ophtha.2016.03.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Rasmussen A, Bloch SB, Fuchs J, et al. A 4-year longitudinal study of 555 patients treated with ranibizumab for neovascular age-related macular degeneration. Ophthalmology. 2013;120:2630–6. doi: 10.1016/j.ophtha.2013.05.018. [DOI] [PubMed] [Google Scholar]
  • 24.Rofagha S, Bhisitkul RB, Boyer DS, et al. Seven-year outcomes in ranibizumab-treated patients in ANCHOR, MARINA, and HORIZON: a multicenter cohort study (SEVEN-UP) Ophthalmology. 2013;120:2292–9. doi: 10.1016/j.ophtha.2013.03.046. [DOI] [PubMed] [Google Scholar]
  • 25.Singer MA, Awh CC, Sadda S, et al. HORIZON: an open-label extension trial of ranibizumab for choroidal neovascularization secondary to age-related macular degeneration. Ophthalmology. 2012;119:1175–83. doi: 10.1016/j.ophtha.2011.12.016. [DOI] [PubMed] [Google Scholar]
  • 26.Decroos FC, Toth CA, Stinnett SS, et al. Optical coherence tomography grading reproducibility during the Comparison of Age-related Macular Degeneration Treatments Trials. Ophthalmology. 2012;119:2549–57. doi: 10.1016/j.ophtha.2012.06.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Grunwald JE, Daniel E, Ying GS, et al. Photographic assessment of baseline fundus morphologic features in the Comparison of Age-Related Macular Degeneration Treatments Trials. Ophthalmology. 2012;119:1634–41. doi: 10.1016/j.ophtha.2012.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Beck RW, Moke PS, Turpin AH, et al. A computerized method of visual acuity testing: adaptation of the early treatment of diabetic retinopathy study testing protocol. Am J Ophthalmol. 2003;135:194–205. doi: 10.1016/s0002-9394(02)01825-1. [DOI] [PubMed] [Google Scholar]
  • 29.Hagstrom SA, Ying GS, Pauer GJ, et al. Pharmacogenetics for genes associated with age-related macular degeneration in the Comparison of AMD Treatments Trials (CATT) Ophthalmology. 2013;120:593–9. doi: 10.1016/j.ophtha.2012.11.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hagstrom SA, Ying GS, Pauer GJ, et al. Endothelial PAS domain-containing protein 1 (EPAS1) gene polymorphisms and response to anti-VEGF therapy in the comparison of AMD treatments trials (CATT) Ophthalmology. 2014;121:1663–4. doi: 10.1016/j.ophtha.2014.02.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hagstrom SA, Ying GS, Maguire MG, et al. VEGFR2 Gene Polymorphisms and Response to Anti-Vascular Endothelial Growth Factor Therapy in Age-Related Macular Degeneration. Ophthalmology. 2015;122:1563–8. doi: 10.1016/j.ophtha.2015.04.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Amoaku WM, Chakravarthy U, Gale R, et al. Defining response to anti-VEGF therapies in neovascular AMD. Eye (Lond) 2015;29:1397–8. doi: 10.1038/eye.2015.159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kaiser PK, Brown DM, Zhang K, et al. Ranibizumab for predominantly classic neovascular age-related macular degeneration: subgroup analysis of first-year ANCHOR results. Am J Ophthalmol. 2007;144:850–7. doi: 10.1016/j.ajo.2007.08.012. [DOI] [PubMed] [Google Scholar]
  • 34.Ho AC, Albini TA, Brown DM, et al. The Potential Importance of Detection of Neovascular Age-Related Macular Degeneration When Visual Acuity Is Relatively Good. JAMA Ophthalmol. 2017 doi: 10.1001/jamaophthalmol.2016.5314. [DOI] [PubMed] [Google Scholar]
  • 35.Bressler NM. Early detection and treatment of neovascular age-related macular degeneration. J Am Board Fam Pract. 2002;15:142–52. [PubMed] [Google Scholar]
  • 36.Chaikitmongkol V, Bressler NM, Bressler SB. Early detection of choroidal neovascularization facilitated with a home monitoring program in age-related macular degeneration. Retin Cases Brief Rep. 2015;9:33–7. doi: 10.1097/ICB.0000000000000085. [DOI] [PubMed] [Google Scholar]
  • 37.Keane PA, de SG, Sim DA, et al. Strategies for improving early detection and diagnosis of neovascular age-related macular degeneration. Clin Ophthalmol. 2015;9:353–66. doi: 10.2147/OPTH.S59012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Loewenstein A. Use of home device for early detection of neovascular age-related macular degeneration. Ophthalmic Res. 2012;48(Suppl 1):11–5. doi: 10.1159/000339842. [DOI] [PubMed] [Google Scholar]
  • 39.Grunwald JE, Pistilli M, Daniel E, et al. Incidence and Growth of Geographic Atrophy during 5 Years of Comparison of Age-Related Macular Degeneration Treatments Trials. Ophthalmology. 2017;124:97–104. doi: 10.1016/j.ophtha.2016.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Chakravarthy U, Wong TY, Fletcher A, et al. Clinical risk factors for age-related macular degeneration: a systematic review and meta-analysis. BMC Ophthalmol. 2010;10:31. doi: 10.1186/1471-2415-10-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Lee S, Song SJ, Yu HG. Current smoking is associated with a poor visual acuity improvement after intravitreal ranibizumab therapy in patients with exudative age-related macular degeneration. J Korean Med Sci. 2013;28:769–74. doi: 10.3346/jkms.2013.28.5.769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Nita M, Grzybowski A. Smoking and Eye Pathologies. A systemic review. Part II. Retina diseases, uveitis, optic neuropathies, thyroid-associated orbitopathy. Curr Pharm Des. 2017 doi: 10.2174/1381612823666170111095723. [DOI] [PubMed] [Google Scholar]
  • 43.Thornton J, Edwards R, Mitchell P, et al. Smoking and age-related macular degeneration: a review of association. Eye (Lond) 2005;19:935–44. doi: 10.1038/sj.eye.6701978. [DOI] [PubMed] [Google Scholar]
  • 44.Ting DS, Ng WY, Ng SR, et al. Choroidal Thickness Changes in Age-Related Macular Degeneration and Polypoidal Choroidal Vasculopathy: A 12-Month Prospective Study. Am J Ophthalmol. 2016;164:128–36. doi: 10.1016/j.ajo.2015.12.024. [DOI] [PubMed] [Google Scholar]
  • 45.Recurrent choroidal neovascularization after argon laser photocoagulation for neovascular maculopathy. Macular Photocoagulation Study Group. Arch Ophthalmol. 1986;104:503–12. doi: 10.1001/archopht.1986.01050160059012. [DOI] [PubMed] [Google Scholar]
  • 46.Piermarocchi S, Miotto S, Colavito D, et al. Combined effects of genetic and non-genetic risk factors affect response to ranibizumab in exudative age-related macular degeneration. Acta Ophthalmol. 2015;93:e451–e457. doi: 10.1111/aos.12587. [DOI] [PubMed] [Google Scholar]
  • 47.McKibbin M, Ali M, Bansal S, et al. CFH, VEGF and HTRA1 promoter genotype may influence the response to intravitreal ranibizumab therapy for neovascular age-related macular degeneration. Br J Ophthalmol. 2012;96:208–12. doi: 10.1136/bjo.2010.193680. [DOI] [PubMed] [Google Scholar]
  • 48.Jaffe GJ, Martin DF, Toth CA, et al. Macular morphology and visual acuity in the comparison of age-related macular degeneration treatments trials. Ophthalmology. 2013;120:1860–70. doi: 10.1016/j.ophtha.2013.01.073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Sharma S, Toth CA, Daniel E, et al. Macular Morphology and Visual Acuity in the Second Year of the Comparison of Age-Related Macular Degeneration Treatments Trials. Ophthalmology. 2016;123:865–75. doi: 10.1016/j.ophtha.2015.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Grunwald JE, Daniel E, Huang J, et al. Risk of geographic atrophy in the comparison of age- related macular degeneration treatments trials. Ophthalmology. 2014;121:150–61. doi: 10.1016/j.ophtha.2013.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Arnold JJ, Markey CM, Kurstjens NP, Guymer RH. The role of sub-retinal fluid in determining treatment outcomes in patients with neovascular age-related macular degeneration--a phase IV randomised clinical trial with ranibizumab: the FLUID study. BMC Ophthalmol. 2016;16:31. doi: 10.1186/s12886-016-0207-3. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1
2
3
4
5

RESOURCES