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Original Research

Cost-effectiveness of ranibizumab versus aflibercept in the treatment of visual impairment due to diabetic macular edema: a UK healthcare perspective

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Pages 235-247 | Published online: 06 May 2015

Figures & data

Figure 1 Markov model structure showing health states and possible patient transitions between states.

Abbreviations: BCVA, best-corrected visual acuity; ETDRS, Early Treatment Diabetic Retinopathy Study.
Figure 1 Markov model structure showing health states and possible patient transitions between states.

Table 1 Baseline ocular characteristics of patients followed in the model

Table 2 Utilities used by BCVA level and eye status

Table 3 Key model inputs for the base-case scenario

Table 4 Key treatment cost assumptions

Table 5 Base-case cost-effectiveness results per patient

Figure 2 Tornado plots of one-way sensitivity analyses for ranibizumab 0.5 mg PRN compared with aflibercept 2q8.

Assumptions used to determine the input range for the tornado plot: Ranibizumab PRN versus aflibercept OR values are based on the 95% CrI from the published network meta-analysis.Citation24 The range in the number of ranibizumab PRN injections over 3 years was based on the 95% confidence interval from the RESTORE 36-month data.Citation40 The range in the number of PRN injections in the first year was based on the weighted injection average across RESTORECitation16 and RESPOND.Citation41 The lower value for the number of aflibercept injections assumed the same injection frequency as the ranibizumab PRN regimen. Ranibizumab maximal monitoring frequency assumed monthly monitoring (as described in the RESTORE protocol).Citation16

Notes: The NMB in the base-case scenario is £6,768 for ranibizumab 0.5 mg PRN versus aflibercept. Model parameters varied in the sensitivity analyses are shown on the Y axis. The first model parameter in brackets was used to obtain the lower NMB while the second model parameter was used to obtain the higher NMB.
Abbreviations: PRN, pro re nata; 2q8, 2 mg every 8 weeks after five initial monthly doses; NMB, net monetary benefit; CrI, credible interval.
Figure 2 Tornado plots of one-way sensitivity analyses for ranibizumab 0.5 mg PRN compared with aflibercept 2q8.Assumptions used to determine the input range for the tornado plot: Ranibizumab PRN versus aflibercept OR values are based on the 95% CrI from the published network meta-analysis.Citation24 The range in the number of ranibizumab PRN injections over 3 years was based on the 95% confidence interval from the RESTORE 36-month data.Citation40 The range in the number of PRN injections in the first year was based on the weighted injection average across RESTORECitation16 and RESPOND.Citation41 The lower value for the number of aflibercept injections assumed the same injection frequency as the ranibizumab PRN regimen. Ranibizumab maximal monitoring frequency assumed monthly monitoring (as described in the RESTORE protocol).Citation16

Figure 3 Scatter plots for probabilistic sensitivity analysis showing cost-effectiveness of (A) ranibizumab 0.5 mg PRN and (B) ranibizumab 0.5 mg T&E compared with aflibercept 2q8.

Abbreviations: QALY, quality-adjusted life-year; PRN, pro re nata; T&E, treat and extend; 2q8, 2 mg every 8 weeks after five initial monthly doses.
Figure 3 Scatter plots for probabilistic sensitivity analysis showing cost-effectiveness of (A) ranibizumab 0.5 mg PRN and (B) ranibizumab 0.5 mg T&E compared with aflibercept 2q8.

Figure 4 Cost-effectiveness acceptability curves for (A) ranibizumab 0.5 mg PRN and (B) ranibizumab 0.5 mg T&E compared with aflibercept 2q8.

Abbreviations: ICER, incremental cost-effectiveness ratio; PRN, pro re nata; T&E, treat and extend; 2q8, 2 mg every 8 weeks after five initial monthly doses.
Figure 4 Cost-effectiveness acceptability curves for (A) ranibizumab 0.5 mg PRN and (B) ranibizumab 0.5 mg T&E compared with aflibercept 2q8.

Table S1 Calculation of aflibercept transition probabilities

Table S2 Costs of visual impairment

Table S3 Key variables with varying value in the probability sensitivity analysis