Literature DB >> 33447009

Early Conversion to Aflibercept for Persistent Diabetic Macular Edema Results in Better Visual Outcomes and Lower Treatment Costs.

David J Ramsey1, Samuel J Poulin1, Lauren C LaMonica2, Gregory R Blaha1, Fina C Barouch1, Jeffrey Chang1, Jeffrey L Marx1.   

Abstract

PURPOSE: To evaluate the functional and anatomic outcomes, as well as cost-effectiveness, of the timing of conversion to intravitreal aflibercept (IVA) in patients with treatment-resistant diabetic macular edema (DME).
METHODS: Thirty consecutive eyes (25 patients) were identified that were treated with ≥3 intravitreal bevacizumab (IVB) and/or ranibizumab (IVR) injections prior to treatment with ≥3 IVA injections. Eyes that received ≤6 IVB and/or IVR injections (early-switch) were compared to those that received ≥7 injections (late-switch) prior to conversion to IVA. Treatment effectiveness was measured in quality-adjusted life years (QALYs). A micro-simulation model examined the impact of treatment duration on outcomes.
RESULTS: Early- (n=18) and late- (n=12) switch eyes had similar vision prior to conversion to IVA. Despite improvements in retinal thickness, only the early-switch eyes maintained vision gains after conversion to IVA through the end of follow-up (p=0.027). Early switch saved $22,884/eye and produced an additional 0.027 QALYs.
CONCLUSION: Early conversion to IVA optimizes vision outcomes and results in lower overall treatment expenditures.
© 2021 Ramsey et al.

Entities:  

Keywords:  diabetic macular edema; DME; diabetic retinopathy; socioeconomics

Year:  2021        PMID: 33447009      PMCID: PMC7802895          DOI: 10.2147/OPTH.S286665

Source DB:  PubMed          Journal:  Clin Ophthalmol        ISSN: 1177-5467


Introduction

Swelling in the retina, known as diabetic macular edema (DME), is the leading cause of vision loss in working-age adults in the United States.1 Intravitreal injections of agents targeting the cytokine vascular endothelial growth factor (VEGF) have revolutionized treatment of DME,2–4 providing a greater chance of vision recovery compared to alternative treatments such as steroids or laser surgery.5 However, not all patients respond equally well to anti-VEGF medications, and some agents are costlier than others. A large clinical trial has demonstrated nearly equal efficacy of these medications as monotherapy for DME,6,7 but few studies have addressed the impact of changing agents when response to therapy is delayed or incomplete,8,9 or the cost-effectiveness of switching agents.10 The purpose of the present study is to evaluate the functional and anatomic outcomes, as well as cost-effectiveness, of the timing of conversion to intravitreal aflibercept (IVA) in patients with persistent DME previously treated with intravitreal bevacizumab (IVB) and/or ranibizumab (IVR).

Methods

The study comprised a retrospective, cross-sectional comparative case series. The research followed the tenets of the Declaration of Helsinki and was approved by the institutional review board of Lahey Hospital & Medical Center (Burlington, Massachusetts, USA). Using billing records, we identified patients who received 0.05 mL IVA injections for DME between January and June 2016. We excluded patients with retinal vein occlusions, ocular trauma, or treatment of choroidal neovascularization from other causes such as myopic degeneration, central serous retinopathy, or neovascular age-related macular degeneration. Criteria for inclusion included receipt of at least three IVA injections and at least three IVB or IVR injections prior to the switch to IVA. Patients who received laser or steroid treatment, or who had cataract extraction within three months of switching to IVA or within the IVA treatment period, were excluded. We also excluded individuals who received injections at other institutions or who had ocular or laser surgery within three months of the initiation of anti-VEGF treatment. Eyes that received six or fewer injections (early-switch) were compared to those that received seven or more injections (late-switch) prior to switching to IVA. A retina sub-specialist reviewed the charts and extracted demographic and clinical data related to ocular health and diabetic retinopathy diagnosis, severity, and treatment. Hemoglobin A1c (A1c) values were obtained for all patients. Severity of diabetes was based on ICD-10-CM codes. No patient had an increase in retinopathy severity level over the course of the study. The A1c value closest to the first and last injection date of each agent was used as an indicator of the severity of diabetes. In some cases, only one A1c value was collected, or the A1c measurement at the start of treatment was the last value obtained. Patients were assessed at each time point by Snellen visual acuity (VA), and central retinal thickness (CRT) was measured in microns by spectral-domain optical coherence tomography (OCT) scanning (Cirrus [Carl Zeiss Meditec, Inc] or Spectralis [Heidelberg Engineering, Inc, Heidelberg, Germany]). All measurements were converted to Heidelberg units for statistical analysis (0.6 x CRT[Cirrus] + 96.2 µm).11 A reference group of eyes from patients who received IVB and/or IVR but who did not switch to IVA was developed. This group matched the early-switch group within 1.5 standard deviations of the mean total treatment duration and number of injections. The same exclusion criteria applied to this reference group. For additional comparison, a separate “reconfigured” switch group was constructed whereby late-switch patients were reconfigured into early-switch patients to assess their VA and CRT as if they had received IVA injections at an earlier time point instead of continuing on treatment with IVB and/or IVR. For this analysis, the date of late-switch patients’ first IVA injection was reconfigured as the third injection pre-IVA, the second IVA injection as the second injection pre-IVA, the third injection as the first injection pre-IVA, and the fourth IVA injection as the first IVA injection. The treatment index was defined as a ratio of the number of intravitreal injections a patient received during the treatment period compared with the maximum number of injections possible during that period based on product labeling. The maximum number of possible injections was determined using a maximum injection frequency of one injection every 28 days. The treatment burden was reported as a percentage, with higher values indicating a larger treatment burden, and a value of 100% indicating that a patient received one injection every 28 days during the entire treatment period. A micro-simulation model examined the impact of the duration of treatment and time of switch to IVA on outcomes. Patient quality of life was assessed using QALYs, calculated at each visit by assigning a utility value to the patient’s measured VA based upon conversion tables in Brown et al.12 In this study, VA in a patient’s better-seeing eye was linked with health-related quality of life. Monthly utility values were summed to provide yearly QALYs gained per patient and projected over 5 and 10 years by using the patient’s final VA measurement. QALYs were subsequently adjusted for duration of treatment at conversion to IVA and end of follow-up.13 After the first year, QALY values were discounted at 3.5% annually.14 Treatment costs were estimated for each treated eye by utilizing average Medicare reimbursement rates for the injection procedure ($102.97) and adding the cost of one vial of each of the three anti-VEGF agents (IVA: $1850; IVB: $60; IVR: $1170).13 Cost savings for two eyes treated during the same visit were disregarded for the purposes of this analysis. QALYs gained and the total cost of treatment were used to calculate the net monetary benefit (NMB) of treatment at a willingness-to-pay (WTP) threshold of $100,000/QALY using the formula NMB = QALY gained x WTP – Cost.13–16

Statistical Analysis

Data were analyzed using SPSS® Statistics version 22.0 (IBM Corp, Armonk, NY). Data are presented as mean (±SD) for continuous variables. VA was transformed from presenting Snellen acuity to a log minimum angle of resolution (logMAR) scale. We used Student’s t-test (t-test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) to compare continuous variables and logistic regression to analyze categorical variables. Significance was judged at the 5% level (p<0.05). Kaplan-Meier survival analysis was used to assess the time-to-conversion to IVA.

Results

Two hundred sixty-eight eyes (212 patients) with DME that received anti-VEGF injections between 2010 and 2016 were identified. Thirty eyes that received at least three injections of IVB and/or IVR prior to switching to IVA in 25 patients were included in this case series. Thirteen (43%) of these eyes were in female patients. Three eyes from three patients had Type 1 diabetes (10%). The mean age of the patients was 64.9 years (±11.9 years). Ninety-two percent of patients were Caucasian. During follow-up, no ocular or systemic side effects were observed that could be attributed to intravitreal injections. No eyes developed complications from neovascularization, nor did they develop new glaucoma during the course of the study. Fifty-three percent of eyes were pseudophakic at the time of switch to IVA. No patient had lens extraction within three months of switch to IVA or in the IVA treatment period. Additional characteristics of the study population are presented in Table 1 and .
Table 1

Demographic and Clinical Characteristics

Age (Years)Mean (SD)Significance
All switch patients (n=25)64.9 (11.9)
 Early-switch (n=15)65.5 (11.4)p=0.480
 Late-switch (n=10)62.0 (13.0)
Reference (n=19)69.4 (11.2)§p=0.192§
Gender (%)FemaleMaleSignificance
All switch patients44.0%56.0%
 Early-switch46.7%53.3%p=0.742
 Late-switch40.0%60.0%
Reference22.2%79.9%§p=0.037
Race (%)WhiteOtherSignificance
All switch patients92.0%8.0%
 Early-switch94.4%5.6%p=0.763
 Late-switch91.7%8.3%
Reference79.0%21.0%§p=0.532
Lens Status (%)PseudophakicSignificance
All switch eyes (n=30)53.3%
 Early-switch (n=18)55.5%p=0.765
 Late-switch (n=12)50.0%
Reference68.4%§p=0.272

Notes: †p-value calculated for the early- versus late-switch groups. §p-value calculated for the reference versus the all-switch groups.

Demographic and Clinical Characteristics Notes: †p-value calculated for the early- versus late-switch groups. §p-value calculated for the reference versus the all-switch groups.

Visual and Anatomical Outcomes

Early- (n=18) and late- (n=12) switch eyes had similar vision and CRT at baseline, as well as prior to the conversion to IVA (Figure 1). In early-switch eyes, VA did not significantly improve from baseline to the time of the switch to IVA (logMAR 0.60±0.46 to 0.60±0.32, p=0.490). However, after the switch to IVA, a modest VA improvement was noted at the last follow-up (logMAR 0.45±0.31, p=0.027). In late-switch eyes, there was no improvement in VA by the time of the switch (logMAR 0.61±0.56 to 0.51±0.31, p=0.442), and there was no further gain in vision through the end of follow-up after the switch to IVA (logMAR 0.52±0.31, p=0.236). The total improvement in vision over the entire treatment period was modest for all eyes (∆logMAR −0.13±42, p=0.044), with a trend toward more vision gained in eyes switched early (∆logMAR −0.16±0.41) compared with those that switched late (∆logMAR −0.097±0.45).
Figure 1

Visual acuity (VA) and central retinal thickness (CRT) outcomes of early- and late-switch patients converted to intravitreal aflibercept. VA before and after conversion to IVA in patients with DME who were (A) switched after six or fewer injections of IVR and/or IVB (early-switch, n=18), (B) switched after seven or more injections of IVR and/or IVB (late-switch, n=12), or (C) not switched to IVA (reference). Snellen VA was converted to logMAR units for this analysis. CRT before and after conversion to IVA in patients with DME who were (D) switched after 6 or fewer injections of IVR and/or IVB (early-switch), (E) switched after seven or more injections of IVR and/or IVB (late-switch), or (F) not switched to IVA (reference, n=18). Measurement periods were matched in the reference group for similar treatment duration and number of injections as the group converted early to IVA during treatment. Data are presented as the mean ± standard error of mean (SEM). p-values were calculated using Student’s t-test (*p<0.05, **p<0.01, ***p<0.001).

Visual acuity (VA) and central retinal thickness (CRT) outcomes of early- and late-switch patients converted to intravitreal aflibercept. VA before and after conversion to IVA in patients with DME who were (A) switched after six or fewer injections of IVR and/or IVB (early-switch, n=18), (B) switched after seven or more injections of IVR and/or IVB (late-switch, n=12), or (C) not switched to IVA (reference). Snellen VA was converted to logMAR units for this analysis. CRT before and after conversion to IVA in patients with DME who were (D) switched after 6 or fewer injections of IVR and/or IVB (early-switch), (E) switched after seven or more injections of IVR and/or IVB (late-switch), or (F) not switched to IVA (reference, n=18). Measurement periods were matched in the reference group for similar treatment duration and number of injections as the group converted early to IVA during treatment. Data are presented as the mean ± standard error of mean (SEM). p-values were calculated using Student’s t-test (*p<0.05, **p<0.01, ***p<0.001). Both early- and late-switch groups demonstrated a near continuous improvement in CRT over the course of treatment, regardless of agent (Figure 1). In early-switch eyes, the CRT improved from 412±73µm at baseline to 382±114µm at the time of the switch, and 306±81µm by the end of follow-up (p<0.001). In late-switch eyes, the CRT improved from 465±140µm at baseline to 335±52µm at the time of the switch, and to 271±56µm by the end of follow-up (p<0.001). In comparison with early- and late-switch eyes, reference eyes gained vision by the equivalent point at which treatment-refractory eyes switched to IVA (logMAR −0.17±0.27, p=0.016) and continued to gain vision through the end of follow-up (∆logMAR −0.24±0.28) compared with the treatment refractory group (∆logMAR −0.13±42, p=0.001). These reference eyes also demonstrated a steady improvement in macular anatomy, which may also explain why these patients were not switched to IVA (Figure 1). Late-switch eyes reconfigured to allow for comparison of VA and anatomical outcomes, as if they had received IVA injections at an earlier point, had no statistically significant VA difference in comparison with early-switch eyes at all time points. Prior to the switch to IVA, reconfigured late-switch eyes had similar vision to early-switch eyes (logMAR 0.60±0.17 versus 0.61±0.08, p=0.958). Similarly, reconfigured late-switch eyes had indistinguishable CRT compared with early-switch eyes prior to the switch to IVA (logMAR 430±38µm versus 377±25µm, p=0.262). These reconfigured eyes did not demonstrate any short-term improvement in vision following the simulated switch to IVA (logMAR 0.52±0.53 versus 0.60±0.54, p=0.732), as was the case for our study eyes following the actual conversion to IVA, nor did they experience any visual gains from switch to IVA through end of follow-up when measured from this reconfigured time point (logMAR 0.52±0.53 versus 0.52±0.31, p=0.970).

Treatment Index

Early-switch eyes received an average of 4.56±1.20 injections over a median period of 5.9 months prior to switching to IVA, whereas late-switch eyes received an average of 23.0±14.6 injections over a median period of 24 months prior to switching to IVA (p<0.001). Early-switch eyes received 74.2% of injections possible within the pre-switch period, compared with 80.0% of injections possible for late-switch eyes (p=0.280). Early-switch eyes received injections an average of every 5.6±1.3 weeks, compared with late-switch eyes that received injections an average of 5.1±0.8 weeks (p=0.191). Time-to-conversion to IVA is presented in . After conversion to IVA, early-switch eyes received an average of 6.44±4.82 injections over a median period of 6.7 months, and late-switch eyes received an average of 6.41±3.70 injections over a median period of 7.3 months (p=0.987). No difference in treatment index was noted after the switch for early-switch compared with late-switch eyes (71.9% versus 69.1%, p=0.624). After the switch to IVA, both groups had slightly longer injection intervals. Early-switch eyes received IVA injections an average of every 6.4±1.9 weeks compared with late-switch eyes that received IVA injections an average of every 6.5±1.7 weeks (p=0.898). Reference eyes received an average of 9.84±1.26 injections over a median period of 12.8 months. The number of injections was similar to the early-switch eyes by design. Additional treatment characteristics of the study population are presented in .

Factors Related to the Switch to Aflibercept

Several variables demonstrated a correlation with the number of injections that a patient received prior to the switch to aflibercept. The change in CRT by the point of the switch (R2=0.425, p<0.001) had the strongest correlation with the number of injections a patient received by the time of the switch to IVA. By comparison, CRT at the start of treatment (R2=0.353, p<0.001) or at the switch (R2=0.134, p=0.046) was not as strongly correlated with number of injections. Although VA at the start of treatment or at the visit of the switch to IVA did not correlate with the total number of injections up to the point of the switch, the change in vision from the start of treatment to the point at which treatment was switched did have a modest correlation (R2=0.220, p=0.009), with a greater change in vision associated with a later switch to IVA. However, final visual outcome was not correlated with either the total number of injections, number of pre-switch injections, or duration of treatment.

Cost-Effectiveness of Treatment

A microsimulation analysis was conducted on the study population to identify cost of treatment for early- and late-switch patients, as well as for a reference group matched for similar treatment duration and number of injections as the early-switch group. Early-switch patients saved $22,885 per eye over the course of treatment compared to late-switch patients, while producing an additional 0.027 QALYs/eye, which yields an NMB >$25,000/eye (Figure 2). Incremental QALYs gained by early switch and projected at 5- and 10-years are presented in Table 2. Relative QALYs gained reached a maximum with six or fewer pre-switch injections (Figure 2A), whereas cost savings and NMB accrued the longer that the switch to IVA was delayed up to 12 pre-switch injections (Figure 2B). Modeling the cost savings as if all patients had been treated with IVB before the switch to IVA would decrease the savings per eye to $2,843. Early switch to IVA was not less costly at any point in time compared with the reference group (Table 3). Total cost was associated with baseline CRT (R2=0.280, p=0.003), but not with VA, age, gender, type or severity of diabetes.
Figure 2

Early switch to intravitreal aflibercept is most cost-effective at six or fewer pre-switch injections. (A) QALYs gained by conversion to intravitreal aflibercept at various number of injections prior to switch. VA in logMAR units was converted directly into QALY units for analysis. Bars represent mean QALYs gained. N=30 eyes. (B) Cost-effectiveness of conversion to intravitreal aflibercept at various number of injections prior to switch. Treatment costs were estimated for each treated eye by utilizing average Medicare reimbursement rates for injection procedure and agent.13 A microsimulation model was generated to calculate cost savings over the course of treatment (dashed line), which is the difference in total treatment cost based on treatment group, as well as the net monetary benefit (solid line) accounting for additional QALYs gained at a WTP threshold of $100,000/QALY. QALYs and cost savings were realized even after controlling for the number of post-switch injections in early- (6.4±4.5) and late- (6.4±3.7) switch eyes (p=0.987). The number of post-switch injections for our patient population was comparable to other studies investigating the impact of IVA on clinical outcomes.3

Table 2

Quality-Adjusted Life Years (QALYs), Adjusted and Predicted

Average QALYs, Adjusted
Start of TreatmentConversion to IVAEnd of Follow-Up
Mean±SDMean±SDMean±SD
Early switch0.740.080.740.080.770.08
Late switch0.740.130.730.080.710.08
Reference0.750.080.800.070.810.06
Average QALYs, Predicted
1-Year Horizon5-Year Horizon10-Year Horizon
Mean±SDMean±SDMean±SD
Early switch0.740.073.560.336.600.65
Late switch0.750.113.550.376.520.61
Reference0.790.053.790.236.990.45
Table 3

Early Conversion to Intravitreal Aflibercept is More Cost-Effective Than Late Conversion

Total TreatmentStart of Treatment to Conversion to IVAConversion to IVA to End of Follow-Up
All PatientsAll PatientsAll Patients
Early Switch$15,040$2563$12,477
Late Switch$37,925$25,556$12,369
Reference$5460$2087$3363
Cost Savings of Early Conversion$22,885
Quality-Adjusted Life Years (QALYs), Adjusted and Predicted Early Conversion to Intravitreal Aflibercept is More Cost-Effective Than Late Conversion Early switch to intravitreal aflibercept is most cost-effective at six or fewer pre-switch injections. (A) QALYs gained by conversion to intravitreal aflibercept at various number of injections prior to switch. VA in logMAR units was converted directly into QALY units for analysis. Bars represent mean QALYs gained. N=30 eyes. (B) Cost-effectiveness of conversion to intravitreal aflibercept at various number of injections prior to switch. Treatment costs were estimated for each treated eye by utilizing average Medicare reimbursement rates for injection procedure and agent.13 A microsimulation model was generated to calculate cost savings over the course of treatment (dashed line), which is the difference in total treatment cost based on treatment group, as well as the net monetary benefit (solid line) accounting for additional QALYs gained at a WTP threshold of $100,000/QALY. QALYs and cost savings were realized even after controlling for the number of post-switch injections in early- (6.4±4.5) and late- (6.4±3.7) switch eyes (p=0.987). The number of post-switch injections for our patient population was comparable to other studies investigating the impact of IVA on clinical outcomes.3

Discussion

DME is the most common vision-threatening complication of diabetic retinopathy and is a condition of increasing socioeconomic concern owing to the growing US population with diabetes.1,10 The efficacy and the ideal timing for switching to IVA for treatment-refractory DME have remained undetermined to date.9 Our study found that early conversion to IVA for persistent DME appears to maximize the benefit of the treatment while reducing both the duration and cost of treatment. Despite sustained improvement in retinal anatomy in both early- and late-switch groups, only patients who were switched early to IVA maintained VA gains through the end of follow-up. Delaying switch in treatment for refractory DME may contribute to suboptimal outcomes during the period over which DME is inadequately managed, which could result in irreversible structural damage to the foveal center. Alternatively, differences in VA may be due to the presence of iatrogenic vision loss from prior treatments, such as from the expansion of laser scars, progressive macular ischemia, or due to the loss of retinal function from long-term growth factor suppression related to anti-VEGF agents themselves, as has been observed in macular degeneration.17 Recent meta-analyses of nonrandomized studies of patients switched from IVB and/or IVR to IVA for treatment-resistant DME suggest that IVA may provide superior visual and anatomical outcomes in comparison to IVR and/or IVB.10,18 The weighted mean gain in best-corrected VA (logMAR 0.09, CI 0.03 to 0.14) and CRT (100.55 µm, CI 68.46 to 132.63)10 from these studies is remarkably similar to the total VA gain (logMAR 0.09±0.05) and CRT reduction (71.6±10.5 µm) observed through end of follow-up in eyes switched early to IVA in our study. Although these gains are quite modest, some eyes experience more substantial improvements than others. Other studies have found no sustained improvement in VA after the switch to IVA, but these studies did not differentiate patients based on timing of the switch.8 Some studies have even excluded eyes switched after longer durations of anti-VEGF treatment,9 which are similar to the late-switch eyes in our study that experienced more modest effects on vision and retinal thickness. In clinical practice, both physicians and patients face difficult decisions in regard to individualizing treatment. They may seek a change in therapy even when there is insufficient evidence of a primary treatment failure.19 A desire to do what is best for a patient may not always be influenced by taking cost into consideration, since neither the patient nor physician often directly bears this burden of treatment. Clinical experience and a number of case series indicate that it may be worthwhile to switch to another anti-VEGF agent when there is evidence for limited treatment efficacy.8–10,18,20,21 However, clinical trials have shown that patients with DME often require additional injections over the course of months, or even years, after primary endpoints are reached.7,22 Studies have also shown that by simply continuing anti-VEGF treatment, some patients with a limited anatomic response to treatment will experience VA gains and improvement in CRT similar to those patients identified as having an immediate response.23,24 A sub-analysis of the Diabetic Retinopathy Clinical Research Network Protocol I study showed that patients with persistent DME during the first six months of treatment still gained significant vision through three years with continuous treatment.25 Ferris et al.19 evaluated eyes that met several defined criteria for “switching” treatment but nonetheless continued on their originally assigned treatment in the Diabetic Retinopathy Clinical Research Network studies. Analysis of these eyes found a mean VA improvement of three- to five-letters and CRT reduction of 40–70 μm three months beyond the point at which treatment first appeared to be ineffective. This finding illustrates the challenges of differentiating effects due to a switch in treatment from those due to regression to the mean or to time effects related to continued treatment without a true comparison group.19 To date, no study for refractory DME has utilized a comparison group.8–10,18 We compare the eyes switched to IVA in our study to a reference group of eyes that did not undergo a switch. We also reconfigure our late-switch eyes to show that a late switch was not associated with tachyphylaxis after earlier treatment success. However, the long-term outcomes of sequential or combination treatment with anti-VEGF agents (or steroid treatment) remain unclear, and no randomized controlled trials have systematically evaluated whether switching between anti-VEGF agents may be more effective for DME. Our results highlight the difficult decisions that physicians, patients, and policymakers face when the costs of treatment and efficacy of results are at odds. Many factors must be considered when deciding whether to switch a patient from one agent to another, including access to therapy, availability of drug, adherence to treatment criteria, application of treatment failure and re-treatment criteria, as well as the impact of treatment burden on patients. IVA is a more effective drying agent2—having a duration of VEGF suppression twice as long compared with IVR;26 its potential to aid in treatment based on anatomical, if not visual outcomes, may be a factor driving the decision to switch some patients from other agents.8 The limitations of the present study include its retrospective nature, small sample size, and variations in the number and frequency of injections, typical of real-world treatment of patients with DME. The population in our study is derived from a single center, outpatient clinic that serves as a retina referral center, which may select for more severe cases of diabetic retinopathy or treatment-resistant DME. Presenting VA is also not equivalent to best-corrected VA or ETDRS vision used in randomized clinical trials, as Snellen acuity has been shown to underestimate VA.27 This limits our ability to compare our findings with clinical trials, and it may also underestimate the impact of the switch to IVA on vision. Lastly, although we controlled for clinical characteristics and events that may be expected to affect vision and anatomical outcomes, our microsimulation and regression analyses do not control for insurance approval of the three anti-VEGF agents, sociodemographic characteristics, or other non-clinical factors that may affect a patient’s ability to switch agents.

Conclusion

Our microsimulation model demonstrates that switching early to IVA by six or fewer anti-VEGF injections optimizes visual outcomes and results in lower overall treatment expenditures compared with later switch at all time points. Identifying patients with delayed treatment response to IVR and/or IVB and switching patients early to IVA may not only reduce vision loss, but also lower total treatment costs. These findings reveal a significant area of opportunity not only to increase patient quality of life, but also to reduce the cost burden associated with anti-VEGF treatment to our health care system.
  26 in total

Review 1.  Health care economic analyses and value-based medicine.

Authors:  Melissa M Brown; Gary C Brown; Sanjay Sharma; Jennifer Landy
Journal:  Surv Ophthalmol       Date:  2003 Mar-Apr       Impact factor: 6.048

2.  Reproducibility of retinal thickness measurements on normal and pathologic eyes by different optical coherence tomography instruments.

Authors:  Andrea Giani; Mario Cigada; Netan Choudhry; Antonio Peroglio Deiro; Marta Oldani; Marco Pellegrini; Alessandro Invernizzi; Piergiorgio Duca; Joan W Miller; Giovanni Staurenghi
Journal:  Am J Ophthalmol       Date:  2010-10-20       Impact factor: 5.258

3.  Efficacy of Conversion to Aflibercept for Diabetic Macular Edema Previously Refractory to Bevacizumab or Ranibizumab: A Meta-analysis of High-Quality Nonrandomized Studies.

Authors:  Kang Xiao; Fu-Zhen Li; Shen-Zhi Liang; Jiong Wang; Cheng Qian; Guang-Ming Wan
Journal:  Ann Pharmacother       Date:  2020-01-31       Impact factor: 3.154

4.  Short-Term Effects of Early Switching to Ranibizumab or Aflibercept in Diabetic Macular Edema Cases With Non-Response to Bevacizumab.

Authors:  Mohammed Ashraf; Ahmed A R Souka; Hassan ElKayal
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2017-03-01       Impact factor: 1.300

5.  Ranibizumab for diabetic macular edema: results from 2 phase III randomized trials: RISE and RIDE.

Authors:  Quan Dong Nguyen; David M Brown; Dennis M Marcus; David S Boyer; Sunil Patel; Leonard Feiner; Andrea Gibson; Judy Sy; Amy Chen Rundle; J Jill Hopkins; Roman G Rubio; Jason S Ehrlich
Journal:  Ophthalmology       Date:  2012-02-11       Impact factor: 12.079

6.  Prospective evaluation of visual acuity assessment: a comparison of snellen versus ETDRS charts in clinical practice (An AOS Thesis).

Authors:  Peter K Kaiser
Journal:  Trans Am Ophthalmol Soc       Date:  2009-12

7.  Aflibercept, Bevacizumab, or Ranibizumab for Diabetic Macular Edema: Two-Year Results from a Comparative Effectiveness Randomized Clinical Trial.

Authors:  John A Wells; Adam R Glassman; Allison R Ayala; Lee M Jampol; Neil M Bressler; Susan B Bressler; Alexander J Brucker; Frederick L Ferris; G Robert Hampton; Chirag Jhaveri; Michele Melia; Roy W Beck
Journal:  Ophthalmology       Date:  2016-02-27       Impact factor: 12.079

8.  Outcomes with As-Needed Ranibizumab after Initial Monthly Therapy: Long-Term Outcomes of the Phase III RIDE and RISE Trials.

Authors:  David S Boyer; Quan Dong Nguyen; David M Brown; Karen Basu; Jason S Ehrlich
Journal:  Ophthalmology       Date:  2015-10-09       Impact factor: 12.079

9.  Cost-effectiveness of Aflibercept, Bevacizumab, and Ranibizumab for Diabetic Macular Edema Treatment: Analysis From the Diabetic Retinopathy Clinical Research Network Comparative Effectiveness Trial.

Authors:  Eric L Ross; David W Hutton; Joshua D Stein; Neil M Bressler; Lee M Jampol; Adam R Glassman
Journal:  JAMA Ophthalmol       Date:  2016-08-01       Impact factor: 7.389

10.  Evaluating Effects of Switching Anti-Vascular Endothelial Growth Factor Drugs for Age-Related Macular Degeneration and Diabetic Macular Edema.

Authors:  Frederick L Ferris; Maureen G Maguire; Adam R Glassman; Gui-Shuang Ying; Daniel F Martin
Journal:  JAMA Ophthalmol       Date:  2017-02-01       Impact factor: 7.389

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1.  Optical Coherence Tomography Angiography Biomarkers Predict Anatomical Response to Bevacizumab in Diabetic Macular Edema.

Authors:  Ayman G Elnahry; Alia M Noureldine; Ahmed A Abdel-Kader; Osama A Sorour; David J Ramsey
Journal:  Diabetes Metab Syndr Obes       Date:  2022-02-09       Impact factor: 3.168

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