Introduction: The increasing high prevalence of neovascular age-related macular degeneration (nvAMD) in the aging population combined with the need for frequent monitoring and treatment for many years, especially in the COVID-19 era, raises the need to establish an effective, reliable, and safe follow-up and treatment model. This study evaluates the difference in treatment decisions comparing between the gold standard face-to-face clinical examination and virtual evaluation approach based only on visual acuity (VA) and optical coherence tomography (OCT) scans without clinical fundoscopic examination in nvAMD patients. Methods: A single-center retrospective cohort study was conducted that compared an original “face-to-face” visit treatment decision regarding the need for anti-vascular endothelial growth factor drug, interval, and treatment regimen based on routine VA, spectral domain OCT imaging, and dilated fundus examination to two “virtual” treatment decisions based on evaluation of OCT scans and previous medical records before and after revealing VA data on the same nvAMD patients eyes. Results: About 169 eyes of 114 patients were included in the study. Forty-nine patients (43%) suffered from bilateral nvAMD and had both eyes included in the study. Agreement between the “face-to-face visit treatment decision” and “virtual treatment decision” was noted in 74.6% and 71.6% eyes before and after revealing the patient’s VA in the study visit, respectively. Conclusions: Virtual evaluation results in similar treatment decisions for nvAMD patients compared to standard face-to-face clinical examination.

The gold standard management of patients with neovascular age-related macular degeneration (AMD) requires routine ambulatory monitoring, including visual acuity (VA), clinical fundus examination, as well as auxiliary tests such as optical coherence tomography (OCT) and lately OCT angiography. The treatment decision with anti-vascular endothelial growth factor (anti-VEGF) injections is guided by one of three treatment regimens: fixed dosing, pro re nata (PRN), and treat and extend (TAE) [1-4].

The increasing high prevalence of neovascular AMD in the aging population combined with the need for frequent monitoring and treatment for many years becomes a heavy burden on the patient himself as well as on health systems worldwide [5, 6]. Nowadays, the spread of the COVID-19 pandemic poses unique challenges [7, 8]. Overcrowded clinics where patients move between different stations with diverse personal contact and physical proximity to the physician do not match the new COVID-19 social distancing protocols, especially given the age of the patients that characterize the population suffering from AMD which are prone to develop severe complications from COVID-19 disease [9]. There is therefore an urgent increasing need to establish an effective, reliable, and safe follow-up and treatment model that can lower to minimum the time lengths of each visit, as well as the frequency of these visits. Telemedicine has the potential to present a safer alternative to in-person examination for both the patients and their treating physician.

By now, telemedicine is widely used for screening patients with retinopathy of prematurity [10], diabetic retinopathy [11], and glaucoma [12]. The use of telemedicine for AMD is mainly as a screening tool [13-15], and there is limited data regarding its use for the management of neovascular AMD patients [16-21]. The aim of this study was to evaluate the difference in treatment decisions comparing between the gold standard face-to-face clinical examination and virtual evaluation approach based only on VA and OCT scans without clinical fundoscopic examination.

This retrospective cohort study was conducted at the Tel Aviv Medical Center, Israel – a tertiary medical center – on patients with neovascular AMD who were regularly followed and treated in our ophthalmology retina clinic between 2017 and 2020. After the hospital’s Ethics Committee approval was obtained, demographic and clinical data were collected from the electronic records of each patient. All patients had received at least 3 intravitreal injections of bevacizumab 1.25 mg/0.05 mL (Avastin®; Genentech) or ranibizumab 0.5 mg/0.05 mL (Lucentis®; Genentech) or aflibercept 2 mg/0.05 mL (Eylea®; Regeneron) prior to study entry.

Exclusion criteria were patients under the age of 50 years, patients whose OCT scans were performed outside our retina clinic and could not be retrieved, and patients with any additional retinal vascular disease. Two different treatment decision models (shown in Fig. 1) based on the VA and OCT data acquired during the face-to-face visit were compared.

Fig. 1.

a The first model, the “ face-to-face visit,” included patients who underwent routine VA (Snellen chart), SD-OCT imaging, and DFE during their face-to-face visit. The face-to-face visit resulted in a decision regarding the need for anti-VEGF drug, interval, and treatment regimen. b The second model, “virtual evaluation,” included evaluation of OCT scans, obtained during the face-to-face visit (as in the first model), and the patient’s previous medical records. After the virtual treatment decision was concluded, the VA data from the same face-to-face visit (also as in the first model) visit were revealed to the physician who could revise his decision.

Fig. 1.

a The first model, the “ face-to-face visit,” included patients who underwent routine VA (Snellen chart), SD-OCT imaging, and DFE during their face-to-face visit. The face-to-face visit resulted in a decision regarding the need for anti-VEGF drug, interval, and treatment regimen. b The second model, “virtual evaluation,” included evaluation of OCT scans, obtained during the face-to-face visit (as in the first model), and the patient’s previous medical records. After the virtual treatment decision was concluded, the VA data from the same face-to-face visit (also as in the first model) visit were revealed to the physician who could revise his decision.

Close modal

The treatment decision discussed the need for anti-VEGF treatment, drug modification, treatment regimen (PRN, fixed regimen, and TAE), or observation only management. In the second model, “virtual evaluation treatment decision” and the virtual treatment decision were performed twice and compared, before and after revealing the VA (shown in Fig. 1), in order to evaluate the importance and necessity of the VA exam in the treatment decision. The patients included in this study were examined and evaluated by one of four experienced retina specialists from our retina unit (A.L., M.G., D.Z., and S.S.), and each patient was evaluated by the same retina specialists in both models.

The evaluating retina specialist did not have access to the actual “face-to-face visit treatment decision” from the study visit. Finally, the original “face-to-face visit decision” of each treating physician was compared to the recent two “virtual evaluation treatment decisions” – before and after revealing the VA. This comparison was performed by a different physician (D.Z.), who then performed the statistical analysis of the results, in order to evaluate the agreement between the two models.

Statistical Analysis

Categorical variables were reported as frequency and percentage. Continues variables were evaluated for normal distribution using histogram and Q-Q plot. Normally distributed continues variables were reported as the mean and standard deviation, and skewed variables were reported as the median and interquartile range. The McNemar test was used to compare the original treatment decision and the “virtual treatment decision.”

The generalized estimating equations model was used to study the association between each predictor and the “agreement.” All statistical tests were two sided, and p value <0.05 was considered as statistically significant. SPSS software was used for all statistical analysis (IBM SPSS statistics for windows, 2016; IBM Core, Armnok, NY, USA).

A total of 169 eyes of 114 patients were included in the study, and 6 eyes were evaluated twice by different physicians at a different study visit. Patient’s characteristics are listed in Table 1. Agreement between the “face-to-face visit treatment decision” and “virtual evaluation treatment decision,” including a recommendation for the treatment regimen, follow-up time until next visit, and type of drug was noted in 126/169 eyes (74.6%) and the agreement between the “face-to-face visit treatment decision” and “virtual evaluation treatment decision” after revealing the patient’s VA in the study visit was 121 (71.6%). In 50/169 eyes (29.5%), the VA was 20/40 (Snellen chart) or better in both eyes, and of those, in 41 (82%) and 40 (80%) eyes before and after revealing VA, respectively, there was an agreement between the face-to-face visit and the virtual evaluation treatment decisions, a higher percentage than in the entire study population. Correlation between predictors including OCT features and agreement between the two treatment decisions (face-to-face visit and virtual evaluation) are described in Table 2.

Table 1.

Descriptive statistics: demographic data

Descriptive statistics: demographic data
Descriptive statistics: demographic data
Table 2.

Predictors in the study visit for agreement between “face-to-face visit decision” and “virtual evaluation decision”

Predictors in the study visit for agreement between “face-to-face visit decision” and “virtual evaluation decision”
Predictors in the study visit for agreement between “face-to-face visit decision” and “virtual evaluation decision”

The PRN regimen showed a trend toward positive impact on the agreement between the face-to-face visit treatment decision and the virtual evaluation treatment decision, before and after revealing VA (p = 0.057, p = 0.065, respectively, Table 2). The fixed-regimen protocol showed no effect on the treatment decision agreement between the face-to-face visit and the virtual evaluation (Table 2). The TAE regimen in 39 eyes (62.9%) was found to have a statistically significant negative impact on the agreement between the “face-to-face visit treatment decision” and “virtual evaluation treatment decision” before revealing VA (p = 0.041) and a trend (p = 0.066) for a negative effect after revealing VA (Table 2). The degree of agreement for each specific drug was evaluated. For ranibizumab, agreement was found only in 16/26 eyes (61.5%) before revealing VA (p = 0.02) and in 15/26 eyes (57.7%) after revealing VA (p = 0.01). These results suggest a negative effect on the agreement, meaning higher chances for disagreement between the two different treatment decision models in patients treated with ranibizumab (Table 2). For aflibercept, agreement was found in 39/45 eyes (86.7%) before revealing VA (p = 0.048) and in 38/45 eyes (84.4%) after revealing VA (p = 0.031). These results suggest a positive effect on the agreement, meaning higher chances for agreement between the two different treatment decision models in eyes treated with aflibercept (Table 2). For bevacizumab, agreement was found in 61/87 eyes (70.1%) before revealing VA and in 59/87 eyes (67.8%) after revealing VA, and this was not statistically significant. For eyes which were under observation alone, we found agreement in the treatment decision in 10/11 eyes (90.9%) before revealing VA and in 9/11 eyes (81.8%) after revealing VA, but this did not reach statistical significance, most probably due to the small number of eyes in this group. Table 3 presents in detail the overlapping treatment decisions between the “face-to-face visit” and the “virtual visit.”

Table 3.

Overlapping treatment decisions between the “face-to-face visit decision” and the “virtual evaluation decision”

Overlapping treatment decisions between the “face-to-face visit decision” and the “virtual evaluation decision”
Overlapping treatment decisions between the “face-to-face visit decision” and the “virtual evaluation decision”

To our best knowledge, this is the first study to examine a treatment decision based only on OCT scans and VA as a substitute to the conventional complete ophthalmological examination in patients with neovascular AMD by comparing the two treatment decisions in a single study visit. In this study, we found agreement between the “face-to-face visit treatment decision” and “virtual evaluation treatment decision” in 126/169 eyes (74.6%) and after revealing the patient’s VA in the study visit in 121/169 eyes (71.6%).

In the minority of cases, in which several treatment decisions were statistically determined as disagreement between the “face-to-face visit” and “virtual evaluation,” they can be regarded as clinically similar. Eyes with a minor deterioration in the anatomical status evaluated by the OCT can be offered to continue with the same drug and same regimen or treated more rigorously with shorter injection intervals or switch to a different drug (Table 3, yellow cells). In contrast, eyes with a slight anatomical or VA improvement can continue treatment with the same fixed regimen or in a less strict regime with less frequent injection (Table 3, blue cells). In addition, a treatment decision of temporary no treatment (PRN regimen) versus less frequent injections (TAE regimen) can be similar at some points during the treatment course (Table 3, purple cells).

We have found that the TAE regimen was considered a statistically significant negative predictor of consent. In most cases, the disagreement when using TAE was between continuing the same injection interval versus 2 weeks of extension/shortening of the therapeutic interval (Table 3).

Since in the TAE regimen, the variable interval is 2 weeks, and these patients attend frequent clinic visits, we assume that the treatment decision to shorten or extend when the OCT changes are minimal has negligible clinical impact on the long-term visual outcome. In contrast, the PRN regimen has shown a trend for positive predictor of consent. We assume that in patients who are monitored so frequently, the treating physician is alert to every minor change in the imaging scans, especially following a treatment interruption, leading to a more acceptable decision to retreat, rather than wait and watch, resulting in a higher agreement between both visits’ treatment decisions (face-to-face vs. virtual evaluation).

In our virtual evaluation model, each eye was evaluated separately and independently of the fellow eye status. This is different from “real life” management. In patients with active nvAMD in both eyes, we frequently need to adjust treatment frequency in one eye to be compatible with the treatment frequency of the fellow eye, usually deciding upon the eye with more active or aggressive disease or the better seeing eye. This may explain some of the disagreement in treatment decisions in our study.

In Israel, in nearly all patients with nvAMD, bevacizumab is used primarily as it is covered by the national health insurance. If treatment response is not adequate or suboptimal, the drug can be switched according to the physician’s discretion, to either ranibizumab or aflibercept with a relatively small “out-of-pocket” cost paid by the patient. The treatment decision to switch drugs usually takes into consideration both the financial burden on the patient and that this treatment may be needed for years. During a “face-to-face visit” due to financial restrictions, the patient may request to avoid the switch and therefore change the original physician’s treatment decision, while during the “virtual evaluation” as performed in our study, no dialog with the patient was included; therefore, the financial issue had no impact on the final treatment decision. This financial issue can explain the disagreement in 3/169 eyes (1.8%) between a treatment decision to “switch drug” at the virtual evaluation, as opposed to “continue with same regimen” during the face-to-face visit.

We have found that patients treated with ranibizumab are prone to more disagreement in the treatment decision between the face-to-face visit and virtual evaluation, as opposed to patients treated with aflibercept, who are inclined to more agreement in treatment decision between the two models. In stratifying the different treatment decisions in those patients, none of them were fundamentally different or necessarily clinically significant, and this may be due to a relatively small number of participants in each group.

Disagreement between treatment decision models that are considered clinically significant, such as more versus less frequent injections or switching to PRN regimen, were found only in 5 eyes (2.96%) treated with bevacizumab (Table 3, orange cells). An interesting finding in our study was that the revealing of VA results had no significant impact on the “virtual evaluation” treatment decision. Only in 5/169 eyes (2.95%), the VA had an impact on a change made to the original virtual evaluation treatment decision, following access to the VA data. In 4 out of 5 eyes, the VA was worse than 20/400 (Snellen chart) and corresponded with the imaging findings such as scar and/or atrophy. In all of these 4 eyes, the treatment decision after revealing the VA was to perform less frequent injections or not to treat. Only in 1/5 eyes with a good VA of 20/30 (Snellen chart), the disagreement was between continuing same treatment in the virtual evaluation versus shortening injection’s interval in the face-to-face visit.

A post hoc analysis of the HARBOR trial already demonstrated no difference in VA outcomes in patients who were retreated in the PRN arm according to OCT criteria alone versus patients who underwent a fundoscopic examination and were found to have a new retinal hemorrhage but did not meet the OCT/VA re-treatment criteria. The conclusion was that dilated fundus examination (DFE) may not be needed at every visit [22].

These findings may also indicate that VA testing should be performed only in patients complaining of visual deterioration, rather than in all patients. We demonstrate the benefit of performing a “virtual evaluation” in which, even the lack of VA results does not prevent a reliable treatment decision.

In light of the fact that the virtual evaluation treatment decision relies on the OCT image, we analyzed whether specific OCT characteristics had an impact on the treatment decision. Most of the OCT characteristics were not found to be predictive of agreement between the two models, but a trend was found in favor of subretinal fluid as a predictor of agreement. Subretinal fluid is a relatively prominent easily detected finding that is regarded as a sign of disease activity and therefore indicates treatment, as performed in previous studies, such as CATT [23], VIEW [24], and ALTAIRE [25]. To our surprise, no similar results were found for the presence of intraretinal fluid. Hypo-reflective spaces in the retina which were interpreted as intraretinal fluid can also represent degenerative pseudocysts that do not require treatment, thus explaining the lack of expected agreement [26].

Previous studies have evaluated the use of telemedicine in monitoring nvAMD patients. Aweidah et al. [20] evaluated patients virtually with nvAMD who did not report any complaints based on their previous medical files and current OCT scans during quarantine due to COVID-19. Similar to the findings in our study, a consistency between treatment decisions made virtually to the those made in the face-to-face visit was found.

Starr et al. [16] reported on successful telemedicine management of 59 patients with nvAMD based on their OCT scan, VA testing, and DFE, which were performed by their local ophthalmologist. About 8.1% of patients did not receive treatment as recommended. Data regarding the implementation of the retina specialist’s treatment decision were not examined in our study.

Tsaousis et al. [19] investigated a virtual evaluation model on patients with nvAMD by comparing two different 2-year periods, one with regular face-to-face visits and the following with virtual evaluation based on VA testing and OCT imaging. Tsaousis et al. [19] found that the percentage of patients with mean VA improvement >15 letters was higher in the virtual evaluation model compared with the face-to-face examination model, achieved a higher number of appointments, but a shorter visit time, and a slightly smaller number of injections. Our study compared only a single treatment decision.

Andonegui et al. [17] also evaluated the telemedicine model using OCT images and VA data in addition to retinography images, unlike our study. He used yes or no treatment decision with telemedicine evaluation sensitivity and specificity of 96% and 85%, respectively. In our study, we detailed the treatment decision in terms of the need for anti-VEGF treatment, drug modification if needed, and treatment regimen, explaining our lower agreement rate. Trivizki et al. [21] found a 50% time reduction and a higher daily financial return in encounter which included only an undilated OCT exam followed by intravitreal injection compared to the standard encounter, which in our study is parallel to the “face-to-face visit.”

Our results of above 70% agreement between both treatment decisions raise a question regarding the necessity of DFE as part of routine exams in patients suffering from nvAMD. Some concerns are raised when omitting the DFE. The first is under detection of small macular hemorrhages; however, in a post hoc analysis of the HARBOR trial, missed hemorrhages in patients with the absence of fluid on OCT did not impact VA outcomes after 2 years [22].

The second concern is underdiagnosis of other pathologies, such as rise in intraocular pressure or retinal tears and detachments which cannot be evaluated on OCT alone and may occur in patients that undergo repeated intravitreal injections [27, 28]. Therefore, we suggest performing a clinical examination evaluating the intraocular pressure and the entire retina once every 6 months. The future use of widefield OCT which can detect peripheral retinal lesions, might increase the reliability of the OCT instead of DFE [29]. When performing virtual evaluation visits, the physician should be alert to any visual complaint of the patient, especially when it does not coincide with the OCT findings and in these cases, should propose an additional complete clinical examination including VA testing and DFE.

Our study has several limitations. First, this is a retrospective cohort study evaluating a single treatment decision; therefore, we cannot evaluate its value in the long-term follow-up. Second, this study was conducted only on 169 eyes of 114 patients, and of those, 6 eyes were graded twice by different retina specialists at different time points; therefore, our results need to be further analyzed in larger prospective scale studies over a longer period of time.

Third, the evaluation of the patients was conducted by four retina specialists in a real life setting without strict criteria for re-treatment, which may account for some discrepancies in the treatment decision. Also, interobserver agreement was not examined.

The virtual evaluations, if used correctly, are highly valuable by substantially lowering the need for repeated frequent face-to-face visits in the management of this chronic disease, while maintaining COVID-19 strict social distancing regulations.

This study protocol was reviewed and approved by the ethical review board of Tel Aviv Sourasky Medical Center, approval number 0363-20.

The authors have no conflicts of interest to declare.

This study did not receive any funding.

Dana Zvi and Michaella Goldstein: substantial contributions to the conception and design of the work; acquisition, analysis, and interpretation of data for the work; drafting and revising the work; final approval of the version to be published; and agreement to be accountable for all aspects of the work. Dinah Zur, Shula Schwartz, Anat Loewenstein, Shai Cohen, and Avi Saranga: acquisition of data; revising the work; final approval of the work, and agreement to be accountable for all aspects of the work.

All data generated or analyzed during this study are included in this article. Further inquiries can be directed to the corresponding author.

1.
Ho
AC
,
Busbee
BG
,
Regillo
CD
,
Wieland
MR
,
Van Everen
SA
,
Li
Z
,
Twenty-four-month efficacy and safety of 0.5 mg or 2.0 mg ranibizumab in patients with subfoveal neovascular age-related macular degeneration
.
Ophthalmology
.
2014 Nov
;
121
(
11
):
2181
92
.
2.
Haller
JA
.
Current anti-vascular endothelial growth factor dosing regimens: benefits and burden
.
Ophthalmology
.
2013
;
120
(
5 Suppl
):
S3
. .
3.
Berg
K
,
Pedersen
TR
,
Sandvik
L
,
Bragadóttir
R
.
Comparison of ranibizumab and bevacizumab for neovascular age-related macular degeneration according to LUCAS treat-and-extend protocol
.
Ophthalmology
.
2015 Jan
;
122
(
1
):
146
52
. .
4.
Wykoff
CC
,
Croft
DE
,
Brown
DM
,
Wang
R
,
Payne
JF
,
Clark
L
,
Prospective trial of treat-and-extend versus monthly dosing for neovascular age-related macular degeneration: TREX-AMD 1-year results
.
Ophthalmology
.
2015 Dec
;
122
(
12
):
2514
22
.
5.
Prenner
JL
,
Halperin
LS
,
Rycroft
C
,
Hogue
S
,
Williams Liu
Z
,
Seibert
R
.
Disease burden in the treatment of age-related macular degeneration: findings from a time-and-motion study
.
Am J Ophthalmol
.
2015 Oct
;
160
(
4
):
725
31.e1
. .
6.
Rein
DB
,
Wittenborn
JS
,
Zhang
X
,
Honeycutt
AA
,
Lesesne
SB
,
Saaddine
J
.
Forecasting age-related macular degeneration through the year 2050: the potential impact of new treatments
.
Arch Ophthalmol
.
2009 Apr
;
127
(
4
):
533
40
. .
7.
Corradetti
G
,
Corvi
F
,
Nguyen
TV
,
Sadda
SR
.
Management of neovascular age-related macular degeneration during the COVID-19 pandemic
.
Ophthalmol Retina
.
2020 Aug
;
4
(
8
):
757
9
. .
8.
Sommer
AC
,
Blumenthal
EZ
.
Telemedicine in ophthalmology in view of the emerging COVID-19 outbreak
.
Graefes Arch Clin Exp Ophthalmol
.
2020 Nov
;
258
(
11
):
2341
52
. .
9.
Kang
SJ
,
Jung
SI
.
Age-related morbidity and mortality among patients with COVID-19
.
Infect Chemother
.
2020 Jun
;
52
(
2
):
154
64
. .
10.
Fierson
WM
,
Capone
A
,
Granet
DB
,
Blocker
RJ
,
Bradford
GE
,
Ellis
GS
,
Telemedicine for evaluation of retinopathy of prematurity
.
Pediatrics
.
2015 Jan
;
135
(
1
):
e238
54
.
11.
Jani
PD
,
Forbes
L
,
Choudhury
A
,
Preisser
JS
,
Viera
AJ
,
Garg
S
.
Evaluation of diabetic retinal screening and factors for ophthalmology referral in a telemedicine network
.
JAMA Ophthalmol
.
2017 Jul
;
135
(
7
):
706
14
. .
12.
Clarke
J
,
Puertas
R
,
Kotecha
A
,
Foster
PJ
,
Barton
K
.
Virtual clinics in glaucoma care: face-to-face versus remote decision-making
.
Br J Ophthalmol
.
2017 Jul
;
101
(
7
):
892
5
. .
13.
Li
B
,
Powell
AM
,
Hooper
PL
,
Sheidow
TG
.
Prospective evaluation of teleophthalmology in screening and recurrence monitoring of neovascular age-related macular degeneration: a randomized clinical trial
.
JAMA Ophthalmol
.
2015 Mar
;
133
(
3
):
276
82
. .
14.
Hadziahmetovic
M
,
Nicholas
P
,
Jindal
S
,
Mettu
PS
,
Cousins
SW
.
Evaluation of a remote diagnosis imaging model vs dilated eye examination in referable macular degeneration
.
JAMA Ophthalmol
.
2019 Jul
;
137
(
7
):
802
8
. .
15.
Li
JPO
,
Liu
H
,
Ting
DSJ
,
Jeon
S
,
Chan
RVP
,
Kim
JE
,
Digital technology, tele-medicine and artificial intelligence in ophthalmology: a global perspective
.
Prog Retin Eye Res
.
2021
;
82
:
100900
.
16.
Starr
MR
,
Barkmeier
AJ
,
Engman
SJ
,
Kitzmann
A
,
Bakri
SJ
.
Telemedicine in the management of exudative age-related macular degeneration within an integrated health care system
.
Am J Ophthalmol
.
2019 Dec
;
208
:
206
10
. .
17.
Andonegui
J
,
Aliseda
D
,
Serrano
L
,
Eguzkiza
A
,
Arruti
N
,
Arias
L
,
Evaluation of a telemedicine model to follow up patients with exudative age-related macular degeneration
.
Retina
.
2016 Feb
;
36
(
2
):
279
84
.
18.
Brady
CJ
,
Garg
S
.
Telemedicine for age-related macular degeneration
.
Telemed J E Health
.
2020 Apr
;
26
(
4
):
565
8
. .
19.
Tsaousis
KT
,
Empeslidis
T
,
Konidaris
VE
,
Kapoor
B
,
Deane
J
.
The concept of virtual clinics in monitoring patients with age-related macular degeneration
.
Acta Ophthalmol
.
2016 Aug
;
94
(
5
):
e353
5
. .
20.
Aweidah
H
,
Safadi
K
,
Jotkowitz
A
,
Chowers
I
,
Levy
J
.
Hybrid telehealth medical retina clinic due to provider exposure and quarantine during covid-19 pandemic
.
Clin Ophthalmol
.
2020
;
14
:
3421
6
. .
21.
Trivizki
O
,
Karp
MR
,
Chawla
A
,
Yamanuha
J
,
Gregori
G
,
Rosenfeld
PJ
.
Eliminating visual acuity and dilated fundus examinations improves cost efficiency of performing optical coherence tomogrpahy-guided intravitreal injections
.
Am J Ophthalmol
.
2020 Nov
;
219
:
222
30
. .
22.
Patel
Y
,
Miller
DM
,
Fung
AE
,
Hill
LF
,
Rosenfeld
PJ
.
Are dilated fundus examinations needed for OCT-guided retreatment of exudative age-related macular degeneration?
Ophthalmol Retina
. Elsevier Inc.
2020
;
4
(
2
):
141
7
. .
23.
Martin
DF
,
Martin
DF
,
Maguire
MG
,
Ying
GS
,
Grunwald
JE
,
Fine
SL
,
Ranibizumab and bevacizumab for neovascular age-related macular degeneration
.
N Engl J Med
.
2011 May
;
364
(
20
):
1897
908
. .
24.
Heier
JS
,
Brown
DM
,
Chong
V
,
Korobelnik
JF
,
Kaiser
PK
,
Nguyen
QD
,
Intravitreal aflibercept (VEGF trap-eye) in wet age-related macular degeneration
.
Ophthalmology
.
2012 Dec
;
119
(
12
):
2537
48
.
25.
Ohji
M
,
Takahashi
K
,
Okada
AA
,
Kobayashi
M
,
Matsuda
Y
,
Terano
Y
,
Efficacy and safety of intravitreal aflibercept treat-and-extend regimens in exudative age-related macular degeneration: 52- and 96-week findings from ALTAIR: a randomized controlled trial
.
Adv Ther
.
2020 Mar
;
37
(
3
):
1173
87
.
26.
Querques
G
,
Coscas
F
,
Forte
R
,
Massamba
N
,
Sterkers
M
,
Souied
EH
.
Cystoid macular degeneration in exudative age-related macular degeneration
.
Am J Ophthalmol
.
2011 Jul
;
152
(
1
):
100
7.e2
. .
27.
Mammo
DA
,
Ringeisen
AL
,
Parke
DW
.
Frequency of rhegmatogenous retinal detachment after intravitreal therapy in neovascular age-related macular degeneration
.
Ophthalmol Retina
. Elsevier Inc.
2020
;
4
(
10
):
973
8
. .
28.
Adelman
RA
,
Zheng
Q
,
Mayer
HR
.
Persistent ocular hypertension following intravitreal bevacizumab and ranibizumab injections
.
J Ocul Pharmacol Ther
.
2010 Feb
;
26
(
1
):
105
10
. .
29.
McNabb
RP
,
Grewal
DS
,
Mehta
R
,
Schuman
SG
,
Izatt
JA
,
Mahmoud
TH
,
Wide field of view swept-source optical coherence tomography for peripheral retinal disease
.
Br J Ophthalmol
.
2016 Oct
;
100
(
10
):
1377
82
.
Open Access License / Drug Dosage / Disclaimer
This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC). Usage and distribution for commercial purposes requires written permission. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.