Abstract
BACKGROUND:
Despite a substantial number of treatment options in rheumatoid arthritis (RA) following tumor necrosis factor inhibitor (TNFi) inadequate response or intolerance (TNF-IR), a lack of clarity on the optimal approach remains. Sarilumab, a human monoclonal anti-interleukin-6 receptor alpha antibody, can be used as monotherapy or in combination with methotrexate or other conventional synthetic disease-modifying anti-rheumatic drugs (DMARDs) in TNF-IR patients.
OBJECTIVE:
To conduct a cost-utility analysis from a U.S. health care system perspective for sarilumab subcutaneous 200 mg + methotrexate versus abatacept + methotrexate or a bundle of TNFi + methotrexate for treatment of adult patients with moderately to severely active RA and TNF-IR.
METHODS:
Analysis was conducted via individual patient simulation based on patient profiles from the TARGET trial (NCT01709578); a 6-month decision tree was followed by lifetime semi-Markov model with 6-month cycles. Treatment response at 6 months, informed by network meta-analysis, was based on American College of Rheumatology (ACR) 20/50/70 criteria; patients achieving ≥ ACR20 continued with current therapy, and other patients moved to the next line of biologic DMARD therapy or conventional synthetic DMARD palliative treatment. Direct costs included wholesale acquisition drug costs and administration and routine care costs. Routine care costs and quality-adjusted life-years (QALYs) were estimated by predicting the Health Assessment Questionnaire Disability Index score based on treatment response and were imputed from published equations.
RESULTS:
Sarilumab + methotrexate dominated the TNFi bundle + methotrexate, achieving lower costs ($319,324 vs. $356,096) and greater effectiveness (4.27 vs. 4.15 QALYs), and was on the cost-efficiency frontier with abatacept + methotrexate ($360,211 and 4.29 QALYs). Abatacept + methotrexate was not cost-effective versus sarilumab + methotrexate. Scenario analyses indicated the results were robust; sarilumab + methotrexate became dominant against abatacept + methotrexate after reduced model horizon, minimum response based on ACR50 or ACR70, or time to discontinuation per treatment class. Sarilumab + methotrexate was also dominant versus the TNFi bundle; when class-specific time to treatment discontinuation was specified, sarilumab remained cost-effective with an incremental cost-effectiveness ratio of $36,894.
CONCLUSIONS:
Sarilumab + methotrexate can be considered an economically dominant (more effective, less costly) option versus a second TNFi + methotrexate; compared with abatacept + methotrexate, it is a less costly but less effective option for patients with moderately to severely active RA who have previously failed TNFi.
What is already known about this subject
Guidelines for the treatment of rheumatoid arthritis (RA) issued by both the American College of Rheumatology and European League Against Rheumatism recommend that switching to a treatment with a different mechanism of action may be an appropriate approach for patients with RA who have inadequate response or intolerance to a tumor necrosis factor inhibitor (TNFi).
Sarilumab, an interleukin-6 receptor alpha inhibitor, represents an alternative mechanism of action, with efficacy and safety evaluated both as monotherapy and in combination with methotrexate or other conventional synthetic disease-modifying anti-rheumatic drugs.
What this study adds
This study demonstrates that, in the treatment of RA, sarilumab 200 mg subcutaneous (SC) injection every 2 weeks (q2w) + methotrexate is an economically dominant option compared with cycling TNFi + methotrexate following TNFi inadequate response or intolerance (TNF-IR).
Abatacept 125 mg SC once weekly + methotrexate is not cost-effective compared with sarilumab 200 mg SC q2w + methotrexate in the treatment of RA following TNFi-IR.
Joint damage, stiffness, and swelling, as well as radiographic progression are the hallmark characteristics of rheumatoid arthritis (RA), and their sustained remission is the desired goal of treatment for enabling long-term improvement of physical function and health-related quality of life for patients with this chronic, progressive autoimmune condition.1 While early diagnosis with prompt treatment is a key factor for achieving remission, earlier time to remission is also a predictive factor for sustained clinical remission in treatment-naive patients.2 Equally time critical is adequate disease control in patients who are already on the treatment pathway, as reflected in treatment guidelines recommending prompt therapeutic change in patients who do not adequately reach treatment target.3,4
Following an inadequate response to initial treatment with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs; e.g., methotrexate, sulfasalazine, leflunomide, and hydroxychloroquine), U.S. treatment guidelines recommend the addition of a biologic DMARD (bDMARD) or a targeted synthetic DMARD.3,4 Biologic DMARDs comprise tumor necrosis factor-alpha inhibitors (TNFi), T cell costimulatory inhibitors, anti-B cell agents, and interleukin-6 receptor (IL-6R) inhibitors; targeted synthetic DMARDs comprise Janus kinase inhibitors. For patients who experience an inadequate response or intolerance to initial TNFi, U.S. and European guidelines state that switching to a treatment with a different mechanism of action (MOA) may be an appropriate approach. This strategy is supported by a significant body of evidence from claims analyses indicating beneficial outcomes associated with MOA switching,5-13 while other evidence from a randomized control trial (RCT) and other claims analyses point to conflicting evidence of enhanced outcomes associated with TNFi cycling.14-16 Nonetheless, cycling between TNFi treatments after failure with a previous TNFi remains commonplace,5,15,17-23 with a number of factors likely influencing clinical practice, including compliance with the health insurance mandate (e.g., step-edit requirement) and rheumatologist or patient preferences.24,25
While rheumatologists have a substantial number of therapeutic options currently available for patients with RA, there is a lack of clarity on the optimal approach for patients who have inadequate response or intolerance to TNFi (TNF-IR). Therefore, further evidence to inform prescribing is warranted, and both clinical effectiveness and economic consequences of these options should be considered.24
Sarilumab (Kevzara), approved by the U.S. Food and Drug Administration, is a human monoclonal antibody directed against both the soluble and membrane-bound IL-6R alpha. The efficacy and safety of sarilumab have been evaluated both as monotherapy and in combination with methotrexate or other csDMARDs for the treatment of moderately or severely active RA in patients who have had an inadequate response or intolerance to 1 or more DMARDs.26-29 The present study evaluated the cost-effectiveness from a U.S. health care payer perspective of sarilumab subcutaneous (SC) 200 mg in combination with csDMARDs, in accordance with its approved indication in the treatment of adult patients with moderately to severely active RA. Sarilumab + methotrexate was compared against abatacept or a bundle of TNFi treatments including adalimumab, certolizumab, etanercept, and golimumab, each combined with methotrexate.
Methods
The cost-utility analysis (CUA) was conducted from a U.S. commercial payer perspective in a target population of patients with RA having inadequate response or intolerance to at least 1 prior TNFi therapy and who were appropriate for switching to a bDMARD with a different MOA, including sarilumab. As RA influences both mortality and morbidity, health outcomes were measured in quality-adjusted life-years (QALYs).
Model Structure and Patient Simulation
A 6-month decision tree modeling the 6-month efficacy phase was followed by a lifetime semi-Markov state transition model with individual patient simulation (IPS) developed in Excel version 2013 (Microsoft, Redmond, WA).
Heterogeneity is a significant feature of the RA patient population;30 therefore, for the estimation of expected patient health outcomes and costs, each patient was allowed to move between health states in a stochastic manner (i.e., using IPS).31 This approach also allowed the tracking of individual patient characteristics (e.g., age) and clinical outcomes (i.e., Health Assessment Questionnaire Disability Index [HAQ-DI] progression) over the lifetime horizon of the model (Appendix A, available in online article).24,32 For each patient in the model, a duplicate or “twin” was created for each comparator, ensuring that the comparisons were not influenced by factors such as baseline characteristics, other than the outcomes of the different treatment sequences.
The profiles of patients simulated in the arms of the model were based on patients enrolled in TARGET, a pivotal phase 3 randomized, double-blind, placebo-controlled trial of TNF-IR patients randomized to sarilumab SC in combination with csDMARDs.29 In TARGET, adult patients fulfilling the 2010 American College of Rheumatology (ACR) classification criteria for RA and with moderate to severe RA were included; other inclusion and exclusion criteria are reported elsewhere.29,33 In total, 546 eligible patients were randomized (1:1:1) to sarilumab SC 150 mg or 200 mg or placebo SC every 2 weeks (q2w) added to csDMARDs. Patient ages ranged from 19 to 88 years (mean 52.9 ± 12.4), 81.9% were female, and 71.1% were white. Duration of RA ranged from 0.6 to 54.0 years (mean 12.1 ± 9.4), baseline HAQ-DI scores ranged from 0 to 3.0 (mean 1.8 ± 0.6), and 76.8% of the population had only 1 exposure to TNFi before randomization (Table 1).26,29
TABLE 1.
Model Inputs
| Demographics and Disease Characteristics of Patients in the TARGET Trial (N = 546) | |||
|---|---|---|---|
| Age, years, mean (range) ± SD | 52.9 (19-88) ± 12.4 | ||
| Female, n (%) | 447 (81.9) | ||
| Caucasian, n (%) | 388 (71.1) | ||
| Duration of RA, years, mean (range) ± SD | 12.1 (0.6-54.0) ± 9.4 | ||
| Baseline HAQ-DI, mean (range) ± SD | 1.8 (0.0-3.0) ± 0.6 | ||
| Only 1 prior anti-TNF exposure, n (%) | 418 (76.8) | ||
| > 1 prior anti-TNF exposure, n (%) | 126 (23.2) | ||
| Treatment | Treatment Response | ||
| ACR20, % (95% CI) | ACR50, % (95% CI) | ACR70, % (95% CI) | |
| Comparators | |||
| Sarilumab 200 mg SC q2w + methotrexate | 48.4 (38.2-58.6) | 31.0 (21.8-40.2) | 12.1 (5.5-18.8) |
| Abatacept 125 mg SC q1w + methotrexate | 52.0 (42.6-61.5) | 25.0 (18.9-31.2) | 11.6 (7.3-16.0) |
| TNFi bundle + methotrexate | 38.4 (28.6-48.3) | 21.6 (14.3-28.9) | 11.5 (5.6-17.4) |
| Rituximab 2 × 1,000 mg IV at days 1 and 15 + methotrexate | 54.3 (46.1-62.5) | 30.3 (24.3-36.5) | 14.1 (10.0-18.2) |
| Treatment | 6-Month Drug Costs | ||
| Dosage | 6-Month Induction Costs, $ | 6-Month Maintenance Costs, $ | |
| Sarilumab 200 mg SC q2w + methotrexate | 200 mg SC q2w | 21,095 | 21,095 |
| Abatacept 125 mg SC q1w + methotrexate | IV q4w | 27,434 | 27,434 |
| Weight < 60 kg: 500 mg | |||
| Weight 60-100 kg: 750 mg | |||
| Weight > 100 kg: 1,000 mg | |||
| Rituximab 2 × 1,000 mg IV at days 1 and 15 + methotrexate | 2 × 1,000 mg IV at Days 1 and 15 | 20,171 | 20,131 |
| TNFi bundlea + methotrexate | N/A | 31,996 | 31,084 |
| csDMARD palliative treatmentb | N/A | 1,146 | 1,144 |
aBased on the following distribution of patients: 46% on etanercept SC, 31% on adalimumab SC, 8% on golimumab SC, and 15% on certolizumab SC.
bBased on the following distribution of patients: 13% on methotrexate tablet alone, 13% on methotrexate syringe alone, 10% on prednisolone alone, 35% on methotrexate + prednisolone, 5% on sulfasalazine, 5% on leflunomide, 5% on hydroxychloroquine, and 15% on no treatment.39
ACR = American College of Rheumatology; CI = confidence interval; csDMARD = conventional synthetic disease-modifying antirheumatic drug; HAQ-DI = Health Assessment Questionnaire Disability Index; IV = intravenous; N/A = not applicable; q1w = every week; q2w = every 2 weeks; q4w = every 4 weeks; RA = rheumatoid arthritis; SC = subcutaneous; SD = standard deviation; TNF = tumor necrosis factor; TNFi = tumor necrosis factor-alpha inhibitor.
At the end of the initial 6-month period of the decision tree, patients were classified as the following: (a) a responder where ACR response was ≥ 20% (ACR ≥ 20), inclusive of patients with ACR20, ACR50, and ACR70 responses and either continued with the initial treatment or discontinued because of any other reason (e.g., adverse effects, patient preference), or (b) a nonresponder where ACR response was < 20% and the patient transitioned to the subsequent treatment line (rituximab intravenous [IV] + csDMARD); or moved to the state of death.
Once patients entered the semi-Markov model, at every subsequent 6-month interval, surviving patients then either remained on the given line of treatment, discontinued treatment/transitioned to the next line of treatment (rituximab IV + csDMARD at second line or final csDMARD palliative treatment), or moved to the state of death. In the semi-Markov model, continuation with treatment served as a proxy for treatment success, as it represented both disease activity and adverse events.
Treatment Comparators
A treatment sequence beginning with sarilumab 200 mg SC every 2 weeks (q2w; the dosage recommended in the sarilumab label) + methotrexate was compared with other treatment sequences routinely used in the United States in the TNF-IR population (i.e., in the second line treatment setting). These included sequences beginning with (a) abatacept 125 mg SC every week (q1w) + methotrexate, and (b) a bundle of TNFi agents most used in U.S. clinical practice, including adalimumab 40 mg SC q2w + methotrexate, certolizumab 200 mg SC q2w + methotrexate, etanercept 50 mg SC q1w + methotrexate, and golimumab 50 mg SC every 4 weeks + methotrexate.
The treatment comparators were restricted to the formulations likely to be reimbursed through commercial health plan pharmacies, consistent with the likely reimbursement of sarilumab. Given that IV formulations (e.g., infliximab) are not typically used for the TNF-IR target population and are reimbursed through medical benefits of commercial health plans, subject to specific prior authorization or step-therapy requirements, this type of formulation was not considered for comparison.
Model Inputs
Treatment Response.
A minimal level of 6-month treatment response was required to remain on a given treatment, as based on ACR20 criteria informed by results of a network meta-analysis (NMA) of all DMARDs licensed for the treatment of RA in TNF-IR.34 For the TNFi bundle, the relative efficacy of golimumab was used as a proxy for the TNFi class; this approach was taken because of the lack of comparative efficacy data of targeted DMARDs in the TNF-IR population; golimumab was the only TNFi that had been examined in a TNF-IR population at the time of the study.35 Up to 48.4% of TNF-IR patients achieved minimum response for sarilumab versus 52.0% for abatacept and 38.4% for the TNFi bundle (Table 1).34
ACR response was then mapped to a relative change in HAQ-DI score, measuring disability through physical function in patients, based on response and HAQ-DI data from the MOBILITY Part B RCT [NCT01061736], because of its larger sample size relative to the TARGET RCT.26,36 Changes in HAQ-DI were then predicted for each patient within each of the ACR response categories (e.g., ACR ≥ 70, ACR ≥ 50, and < 70; ACR ≥ 20 and < 50; and ACR < 20). HAQ-DI scores were assumed to remain constant while a patient remained on a given bDMARD treatment.37 HAQ-DI scores for patients who discontinued a bDMARD returned to the baseline level; the response level was then predicted separately for the subsequent line of treatment, and the HAQ-DI score changed accordingly.37 HAQ-DI scores for patients on csDMARD palliative treatment were assumed to increase (i.e., worsen) annually by 0.045.38
Consistent with previously published cost-effectiveness models in RA, outcomes were independent of the line in which the treatment was administered.37,39,40 However, patients on csDMARD palliative treatment were assumed not to achieve any treatment response.
Treatment Duration.
As a conservative approach, the same treatment discontinuation rate following real-world rate of discontinuation of TNFi was applied to all treatment classes. This discontinuation rate was estimated based on a de novo analysis of the Canadian RHUMADATA registry with parametric models fitted to the time to treatment discontinuation data by drug class (TNFi, IL-6R inhibitor [tocilizumab], and other MOA) and for the combined drug classes. The Gompertz, lognormal, and generalized gamma models had the best fit after consideration of Akaike and Bayesian information criteria. Based on visual comparison of the observed and predicted curves and probability plots, Gompertz distributions were selected as the best fits. This analysis showed significant difference in treatment discontinuation rates between TNFi therapies and IL-6R inhibitors, with patients on IL-6R inhibitors staying on treatment longer. Therefore, in the scenario analyses, separately fitted discontinuation curves were applied to the 3 treatment classes (TNFi, IL-6R inhibitor, and other MOA).
Utilities and Mortality.
The estimation of QALYs was based on patient life expectancy and utility weights. Utility weights were applied to life-years accrued according to the HAQ-DI score and gender at each model cycle, calculated by an equation fitted on data from several trials of adalimumab41,42: utility (health utility index-3) = 0.76 − 0.28 x HAQ-DI + 0.05 × female. For example, if HAQ-DI was 1.8, then utility = 0.76 − 0.28 × 1.8 + 0.05 (for a female). Additional utility equations were tested in the sensitivity analyses. The estimation of mortality was based on U.S. life tables adjusted to RA according to changes in HAQ-DI, with general population mortality rates for males and females in the United States obtained from the National Vital Statistics Reports from 2015.43,44 Adverse events were not separately evaluated in the model as their effects were assumed to be included in the utility equations.
Costs.
Health care costs were estimated in 2018 U.S. dollars, inclusive of drug cost, and costs of disease management, routine care, and drug administration (e.g., outpatient and nurse visits, costs for IV infusion). Drug costs were based on the 2018 wholesale acquisition cost (WAC) of each drug, applied to the dosing and treatment schedules specified in the prescribing information for the comparators and sarilumab clinical trials (Table 1); in the base case, no discounts were applied to the list costs.
For the computation of treatment costs, all bDMARDs were assumed to be administered in combination with methotrexate, based on the dose administered in the TARGET trial of sarilumab + methotrexate.26 The cost of the TNFi bundle was based on a weighted average of each TNFi in the bundle (46% etanercept SC, 31% adalimumab SC, 8% golimumab SC, and 15% certolizumab SC) as per its TNFi share. Costs of csD-MARD palliative treatment were based on the weighted average cost of different csDMARDs based on proportions of patients using the respective csDMARDs.39 Wastage (i.e., no vial or pack sharing) of bDMARDs was considered in the base case, and no wastage (i.e., vial or pack sharing) was assumed in the scenario analyses. Wastage implies that if there is leftover after administering the correct dose to a patient, this leftover is discarded. Therefore, in the model, the full cost of the vial was applied to the computation of treatment cost under the assumption of wastage. While efficacy outcomes have implicitly included the treatment adherence seen in the trials (for the initial 6 months) and in clinical practice (after an initial 6 months), for costs, the rate of treatment adherence was assumed to be 100% for all treatments. This leads to potential overestimation of drug costs and, thus, a conservative approach was followed.
Disease management or routine care costs included the use of non-DMARD medications, outpatient care, and hospitalization by Medicare patients,45 with costs adjusted for age, disease duration, comorbidities, HAQ-DI score at baseline, current HAQ-DI score, gender, type of DMARD received, number of previous DMARDs, years of education, and ethnicity. These costs were inflated to 2017 U.S. dollars using the medical component of the Consumer Price Index.46
The base case analysis considered only direct costs; scenario analysis was conducted from a societal perspective, which estimated workdays lost per HAQ-DI level.47
Analyses
Deterministic Analyses.
Estimated health benefits (life-years [LYs] gained and QALYs gained) and costs were each discounted at a rate of 3% as recommended by the U.S. Panel on Cost-Effectiveness in Health and Medicine.48 Incremental cost-effectiveness ratios (ICERs) were obtained for sarilumab sequences versus any of the other comparator treatment sequences. Efficiency frontiers were computed and plotted, demonstrating treatment sequences that were not dominated (i.e., not costlier and less effective).
Scenario analyses and deterministic 1-way sensitivity analyses (OWSA) were conducted on inputs and structural assumptions to account for uncertainty in model parameters. Scenario analyses evaluated the robustness of the base case results by testing key model assumptions around the time horizon, minimum response criteria, treatment discontinuation, mortality rate, and other model inputs. In addition, to represent the discounts to WACs typically negotiated for DMARDs, a further scenario was also evaluated whereby drug costs net of class-level discounts were applied to the model. The discount rates applied were based on those applied in an evidence report issued by the Institute for Clinical and Economic Review.24 In this evaluation, discounts were estimated by comparing average net prices for each agent over the 4 quarters of 2016 against its WAC. An average discount was then estimated for each drug class: TNFi = 30%, CD-20 directed cytolytic antibody = 15%, T cell inhibitors = 30%, IL-6 inhibitors = 20%, Janus kinase inhibitors = 5%.24
For the deterministic OWSA, parameters were varied to their extreme values (± standard error or 95% confidence interval, or if neither was available ± 20% of the base case). Given the difficulty in interpreting a tornado diagram where the ICER results are in all 4 quadrants of the cost-effectiveness plane, or in the context of small QALY differences and small cost differences, incremental net benefit was estimated as incremental QALYs × threshold − incremental costs. A commonly accepted cost-effectiveness threshold of $50,000 per QALY was specified.49-51
Probabilistic Sensitivity Analyses.
Following the joint best practices guidelines from the International Society for Pharmacoeconomics and Outcomes Research and the Society for Medical Decision Making, parameter uncertainty in the model was also assessed by simultaneously varying all parameters with parameter uncertainty according to their assumed distribution (i.e., probabilistic sensitivity analyses [PSA]), based on second-order Monte Carlo simulation of 300 iterations on 500 patients.32,52 Cost-effectiveness acceptability curves were generated to depict the proportion of cost-effective simulations, or the probability of cost-effectiveness, over a range of willingness to pay thresholds.
Results
In the base case, assuming all treatment classes were ascribed equivalent time to treatment discontinuation after 6-month response, time on second line therapy was 3.63 years for sarilumab, 3.82 years for abatacept, and 3.14 years for the TNFi bundle (Table 2). Total QALYs for sarilumab were 4.27 versus 4.29 for abatacept and 4.15 for the TNFi bundle. Total costs (based on list prices) were $319,324 for the sarilumab treatment sequence, $360,211 for the abatacept treatment sequence, and $356,096 for TNFi bundle treatment sequence. The sarilumab treatment sequence dominated the TNFi bundle due to achieving lower costs and higher effectiveness. Compared with the abatacept sequence, the sarilumab sequence was only slightly less effective (–0.02 QALYs) and significantly less costly (–$40,887). As such, an ICER from the abatacept perspective would approach 2 million per QALY versus sarilumab (Table 2 and Appendices A and B, available in online article).
TABLE 2.
Base Case Cost-Effectiveness Analysis Results
| Sarilumab 200 mg SC q2w + Methotrexate | TNFi + Methotrexate Bundle | Abatacept 125 mg SC q1w + Methotrexate | ||||
|---|---|---|---|---|---|---|
| Effectiveness | ||||||
| LYs | 14.19 | 14.15 | 14.20 | |||
| QALYs | 4.27 | 4.15 | 4.29 | |||
| Time on the second-line bDMARD category treatment, years | 3.63 | 3.14 | 3.82 | |||
| Workdays lost | 1,107.20 | 1,125.82 | 1,104.75 | |||
| Costs, $ | ||||||
| Total drug cost | 239,687 | 275,939 | 280,697 | |||
| Drug acquisition cost | 238,582 | 274,805 | 279,597 | |||
| Administration cost | 1,104 | 1,134 | 1,100 | |||
| Routine care cost | 79,637 | 80,157 | 79,514 | |||
| Total cost – payer perspective | 319,324 | 356,096 | 360,211 | |||
| Total cost – societal perspective (scenario analysis) | 448,425 | 487,303 | 488,954 | |||
| Incremental Analyses of Sarilumab 200 mg SC q2w + Methotrexate Versus Comparator | ||||||
| TNFi + Methotrexate Bundle | Abatacept 125 mg SC q1w + Methotrexate | |||||
| LYs | 0.04 | –0.01 | ||||
| QALYs | 0.12 | –0.02 | ||||
| Time on the second line bDMARD category treatment, years | 0.49 | –0.20 | ||||
| Workdays lost | –18.62 | 2.45 | ||||
| Total cost, $ – payer perspective | –36,773 | –40,887 | ||||
| Incremental net benefit, $ | 42,653 | 39,900 | ||||
| Total cost, $ – societal perspective (scenario analysis) | –38,878 | –40,529 | ||||
| Cost per QALY gained, $ | Sarilumab dominant versus TNFi bundle | ICER abatacept versus sarilumab: 2,071,507 | ||||
| Incremental League Table | Efficiency Frontier Analysis | |||||
| QALYs | Costs, $ | ICER, $ | ||||
| Sarilumab 200 mg SC q2w + methotrexate | 4.27 | 319,324 | – | |||
| Abatacept 125 mg SC q1w + methotrexate | 4.29 | 360,211 | 2,071,507 | |||
bDMARD = biologic disease-modifying antirheumatic drug; ICER = incremental cost-effectiveness ratio; LY = life-year; q1w = every week; q2w = every 2 weeks; QALY = quality-adjusted life-year; SC = subcutaneous; TNFi = tumor necrosis factor-alpha inhibitor.
Scenario analyses indicated that the results were sensitive to the model time horizon, minimum level of ACR response, and treatment discontinuation. Sarilumab dominance versus the TNFi bundle remained under all scenarios and became dominant versus abatacept under scenarios with 24-week or 1-year time horizons, ACR50 and ACR70 responses, and treatment discontinuation according to drug class.
The scenario from a societal perspective indicated that the sarilumab sequence would result in approximately 19 fewer workdays lost versus the TNFi bundle, because of a more sustained treatment response, versus abatacept, 3 more workdays were lost for sarilumab over the course of a lifetime (Table 2). This would result in total costs of $448,425 for the sarilumab treatment sequence, $488,954 for the abatacept treatment sequence, and $487,303 for TNFi bundle treatment sequence. As in the base case, the sarilumab treatment sequence would continue to dominate the TNFi bundle; however, given continued lower total costs for sarilumab, from the abatacept treatment sequence, an ICER above $2 million would continue to result.
Finally, the discounts applied to the WAC would result in total costs of $281,939 for the sarilumab treatment sequence, $299,549 for the abatacept treatment sequence, and $297,479 for TNFi bundle treatment sequence. The sarilumab treatment sequence would continue to dominate the TNFi bundle, while from the abatacept perspective, an ICER of $892,225 would result versus sarilumab because of the significantly lower incremental cost of sarilumab retained in this scenario.
Deterministic OWSA revealed that results were most sensitive to sarilumab and comparators’ doses (Figure 1 and Figure 2). Simulations from probabilistic sensitivity analyses for sarilumab versus abatacept suggested comparable costs and health benefits for these treatment sequences (data not presented); the cost-effectiveness acceptability curve indicated that the probability of sarilumab being cost-effective was around 70%-80% independently of the threshold (Figure 3).
FIGURE 1.

Deterministic Sensitivity Analyses: Tornado Diagram of Incremental Net Benefit (Computed with U.S. $50,000 Threshold) for Abatacept 125 mg + Methotrexate Versus Sarilumab 200 mg SC q2w + Methotrexate
FIGURE 2.

Deterministic Sensitivity Analyses: Tornado Diagram of Incremental Net Benefit (Computed with U.S. $50,000 Threshold) for Sarilumab 200 mg SC q2w + Methotrexate Versus TNFi Bundle
FIGURE 3.

Probabilistic Sensitivity Analyses: Cost-Effectiveness Acceptability Curves
Discussion
In a patient population with moderately or severely active RA who are TNF-IR, the present CUA indicated that a bDMARD treatment sequence initiated with sarilumab is economically dominant compared with continuation with TNFi, evaluated as class of treatments in aggregate. The treatment sequences beginning with abatacept or sarilumab in combination with methotrexate were both on the efficiency frontier, with an incremental net benefit of sarilumab versus abatacept of $39,900 at a threshold of $50,000 per QALY. From the perspective of abatacept versus sarilumab (where abatacept had 0.5% higher number of QALYs and 13% higher costs), an ICER approaching $2.1 million would result, well above ranges accepted internationally or in the United States (e.g., up to $150,000).31-33,53
Scenario analyses indicated that the model was robust to variations in a large number of model inputs; sarilumab continued to dominate the TNFi bundle across most scenarios, with reduced costs and greater QALYs. While dominance was not sustained for sarilumab versus the TNFi bundle when longer time to treatment discontinuation for anti-IL-6R inhibitor class of treatments was specified as per the RHUMADATA analysis results, sarilumab remained cost-effective with an ICER of $36,894.
Versus abatacept in the scenario with increased time to discontinuation for IL-6 inhibitor class, sarilumab dominated abatacept. Sarilumab also attained dominance versus abatacept on the scenarios with shorter model horizons (e.g., 24 weeks and 1 year), because clinical benefits for abatacept only accrued later in the time horizon. Dominance also resulted when the criteria for minimum response was raised to ACR50 and ACR70.
Consistent with previous research, the results of the present analysis underscore the overall benefits of switching to an RA therapy with a different MOA rather than cycling between TNFi.5-13 A limited number of other studies have found clinical and cost benefits associated with cycling between anti-TNF drugs, possibly explained by patient response to a particular formulation versus another because of antidrug antibodies or structural and functional differences.14-16,54 The present study, in the short term, is based on efficacy and safety between treatments with statistically nonsignificant differences which is taken into account in the probabilistic analyses. In the long term, the model is informed by the extrapolated long-term discontinuation data influencing the time to the next treatment in the sequence.14-16
In many U.S. commercial health plans, formulary restrictions often prevail over evidence-based guidelines for actual clinical practice.55 Based on most recent data, over 60% of RA patients covered by U.S. commercial health plans are required to step through at least 2 TNFis as part of the insurer’s mandated step therapy protocol before access to a non-TNFi biologic is granted, whereas clinical guidelines recommend that a non-TNFi biologic could be used immediately following any targeted DMARD failure. Comprehensive evaluations such as the present CUA continue to be warranted to inform cost-effective reimbursement decisions addressing objectives of both health care providers and payers.
Two other cost-effectiveness analyses have found sarilumab monotherapy to be cost-effective compared with comparative treatment in patients with RA but in an earlier setting (i.e., patients intolerant to or inadequate responders to csDMARDs).56,57
Limitations
Some limitations of this study must be considered. There is inherent uncertainty in the evidence regarding short-term treatment response rates and long-term benefits of bDMARDs. For example, the 6-month response rates applied to the model were based on an NMA, and there are limitations in applying NMA results for 1 TNFi, golimumab, as a proxy for the TNFi class. This approach was taken because of the lack of comparative efficacy data for some of the TNFis in the TNF-IR population, with costs estimated on a market share-based weighted average of the agents within the bundle.
In addition, response rates estimated from the RA trials included in the NMA can be affected by a heterogeneous trial population and placebo arm response rates that have proven to be heterogeneous across trials.58 However, these issues have been considered and mitigated via metaregression analysis in the NMA that informed the present analysis.53 A further measure to account for RA patient heterogeneity was taken by applying IPS to the real-world, heterogeneous patient population from the TARGET international RCT (which included patients from the United States), duplicated between the comparator arms, and tracking these patients across the lifetime horizon of the model.59 This approach, which added to the model’s external validity, was in contrast to the homogeneous RA patient cohort that was modeled in the evidence appraisal of RA biologics published in the report issued by the Institute for Clinical and Economic Review.24 A further contrast between the present analysis and the institute’s evaluation was the assumption in the present model that patients could discontinue treatment because of a variety of reasons, whereas, in the institute’s evaluation, treatment discontinuation by patients was not a factor that was accounted for in the model.
Consistent with previously published cost-effectiveness models in RA, the initial 6-month treatment response was based on ACR 20/50/70 response criteria and assumed to be independent to the line of treatment.37 This conservative assumption ascribed to the model addressed the limited evidence on efficacy per line of treatment, despite other contrasting evidence suggesting that efficacy of TNFis is reduced with each subsequent TNFi.6,7,22
Finally, the additional strengths of the current cost-effectiveness analysis include its conduct according to best practice guidelines.60 Furthermore, the results remained robust in various sensitivity analyses.
Conclusions
For patients with moderately or severely active RA who have previously failed TNFi treatments, sarilumab 200 mg SC q2w + methotrexate can be considered an economically dominant treatment option that is associated with lower costs and higher health benefit compared with a subsequent treatment of TNFi combined with methotrexate, while abatacept 125 mg SC q1w + methotrexate is not cost-effective compared with sarilumab 200 mg SC q2w + methotrexate.
ACKNOWLEDGMENTS
The authors thank Thi-Minh-Thao Huynh for input in the design and analysis of the network meta-analysis comparing licensed DMARDs for the treatment of rheumatoid arthritis; Susan Boklage for input in the cost-utility analysis study design; and Yuxin Li for assistance in programming the cost-utility analytical model and data collection. Medical writing assistance and editorial support under the direction of the authors were respectively provided by Gauri Saal, MA Economics, and Sinead Stewart of Prime (Knutsford, UK), funded by Sanofi/Regeneron according to Good Publication Practice guidelines.
APPENDIX A. Model Flow

APPENDIX B. Cost-Effectiveness Efficiency Frontier

REFERENCES
- 1.Arnett FC, Edworthy SM, Bloch DA, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988;31(3):315-24. [DOI] [PubMed] [Google Scholar]
- 2.Monti S, Montecucco C, Bugatti S, Caporali R. Rheumatoid arthritis treatment: the earlier the better to prevent joint damage. RMD Open. 2015;1(Suppl 1):e000057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Singh JA, Saag KG, Bridges SL Jr, et al. 2015 American College of Rheumatology guideline for the treatment of rheumatoid arthritis. Arthritis Care Res (Hoboken). 2016;68 (1):1-25. [DOI] [PubMed] [Google Scholar]
- 4.Smolen JS, Landewé R, Bijlsma J, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2016 update. Ann Rheum Dis. 2017;76(6):960-77. [DOI] [PubMed] [Google Scholar]
- 5.Baser O, Ganguli A, Roy S, Xie L, Cifaldi M. Impact of switching from an initial tumor necrosis factor inhibitor on health care resource utilization and costs among patients with rheumatoid arthritis. Clin Ther. 2015;37(7):1454-65. [DOI] [PubMed] [Google Scholar]
- 6.Bonafede MM, Curtis JR, McMorrow D, Mahajan P, Chen CI. Treatment effectiveness and treatment patterns among rheumatoid arthritis patients after switching from a tumor necrosis factor inhibitor to another medication. Clinicoecon Outcomes Res. 2016;8:707-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Chastek B, Becker LK, Chen CI, Mahajan P, Curtis JR. Outcomes of tumor necrosis factor inhibitor cycling versus switching to a disease-modifying anti-rheumatic drug with a new mechanism of action among patients with rheumatoid arthritis. J Med Econ. 2017;20(5):464-73. [DOI] [PubMed] [Google Scholar]
- 8.Rotar Z, Hočevar A, Rebolj Kodre A, et al. ; Slovenian Rheumatologists. Retention of the second-line biologic disease-modifying antirheumatic drugs in patients with rheumatoid arthritis failing one tumor necrosis factor alpha inhibitor: data from the BioRx.si registry. Clin Rheumatol. 2015; 34 (10):1787-93. [DOI] [PubMed] [Google Scholar]
- 9.Markenson JA, Gibofsky A, Palmer WR, et al. Persistence with antitumor necrosis factor therapies in patients with rheumatoid arthritis: observations from the RADIUS registry. J Rheumatol. 2011;38(7):1273-81. [DOI] [PubMed] [Google Scholar]
- 10.Harrold LR, Reed GW, Magner R, et al. Comparative effectiveness and safety of rituximab versus subsequent antitumor necrosis factor therapy in patients with rheumatoid arthritis with prior exposure to antitumor necrosis factor therapies in the United States Corrona registry. Arthritis Res Ther. 2015;17:256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kim HL, Lee MY, Park SY, et al. Comparative effectiveness of cycling of tumor necrosis factor-α (TNF-α) inhibitors versus switching to non-TNF biologics in rheumatoid arthritis patients with inadequate response to TNF-α inhibitor using a Bayesian approach. Arch Pharm Res. 2014;37(5):662-70. [DOI] [PubMed] [Google Scholar]
- 12.Soliman MM, Hyrich KL, Lunt M, et al. ; British Society for Rheumatology Biologics Register. Rituximab or a second antitumor necrosis factor therapy for rheumatoid arthritis patients who have failed their first antitumor necrosis factor therapy? Comparative analysis from the British Society for Rheumatology Biologics Register. Arthritis Care Res (Hoboken). 2012;64(8):1108-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Curtis JR, Chastek B, Becker L, et al. Further evaluation of a claims-based algorithm to determine the effectiveness of biologics for rheumatoid arthritis using commercial claims data. Arthritis Res Ther. 2013;15(2):404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Zhou ZY, Griffith J, Du EX, Chin D, Betts KA, Ganguli A. Economic burden of switching to a non-tumor necrosis factor inhibitor versus a tumor necrosis factor inhibitor biologic therapy among patients with rheumatoid arthritis. Adv Ther. 2016;33(5):807-23. [DOI] [PubMed] [Google Scholar]
- 15.Harnett J, Wiederkehr D, Gerber R, Gruben D, Koenig A, Bourret J. Real-world evaluation of TNF-inhibitor utilization in rheumatoid arthritis. J Med Econ. 2016;19(2):91-102. [DOI] [PubMed] [Google Scholar]
- 16.Gottenberg JE, Brocq O, Perdriger A, et al. Non-TNF-targeted biologic vs a second anti-TNF drug to treat rheumatoid arthritis in patients with insufficient response to a first anti-TNF drug: a randomized clinical trial. JAMA. 2016;316(11):1172-80. [DOI] [PubMed] [Google Scholar]
- 17.Wei W, Knapp K, Wang L, et al. Treatment persistence and clinical outcomes of tumor necrosis factor inhibitor cycling or switching to a new mechanism of action therapy: real-world observational study of rheumatoid arthritis patients in the United States with prior tumor necrosis factor inhibitor therapy. Adv Ther. 2017;34(8):1936-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Finckh A, Ciurea A, Brulhart L, et al. Which subgroup of patients with rheumatoid arthritis benefits from switching to rituximab versus alternative anti-tumour necrosis factor (TNF) agents after previous failure of an anti-TNF agent? Ann Rheum Dis. 2010;69(2):387-93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kamal KM, Madhavan SS, Hornsby JA, Miller LA, Kavookjian J, Scott V. Use of tumor necrosis factor inhibitors in rheumatoid arthritis: a national survey of practicing United States rheumatologists. Joint Bone Spine. 2006;73(6):718-24. [DOI] [PubMed] [Google Scholar]
- 20.Reynolds A, Koenig AS, Bananis E, Singh A. When is switching warranted among biologic therapies in rheumatoid arthritis? Expert Rev Pharmacoecon Outcomes Res. 2012;12(3):319-33. [DOI] [PubMed] [Google Scholar]
- 21.Favalli EG, Biggioggero M, Marchesoni A, Meroni PL. Survival on treatment with second-line biologic therapy: a cohort study comparing cycling and swap strategies. Rheumatology (Oxford). 2014;53(9):1664-68. [DOI] [PubMed] [Google Scholar]
- 22.Bergman MJ, Elkin EP, Ogale S, Kamath T, Hamburger MI. Response to biologic disease-modifying anti-rheumatic drugs after discontinuation of antitumor necrosis factor alpha agents for rheumatoid arthritis. Rheumatol Ther. 2014;1(1):21-30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chatzidionysiou K, van Vollenhoven RF. Rituximab versus anti-TNF in patients who previously failed one TNF inhibitor in an observational cohort. Scand J Rheumatol. 2013;42(3):190-95. [DOI] [PubMed] [Google Scholar]
- 24.Institute for Clinical and Economic Review . Targeted immune modulators for rheumatoid arthritis: effectiveness & value. Evidence report. April 7, 2017. Available at: https://icer-review.org/wp-content/uploads/2016/08/NE_CEPAC_RA_Evidence_Report_FINAL_040717.pdf. Accessed September 26, 2019.
- 25.Fisher A, Bassett K, Wright JM, Brookhart MA, Freeman HJ, Dormuth CR. Prescriber preference for a particular tumour necrosis factor antagonist drug and treatment discontinuation: population-based cohort. BMJ Open. 2014;4(9):e005532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Genovese MC, Fleischmann R, Kivitz AJ, et al. Sarilumab plus methotrexate in patients with active rheumatoid arthritis and inadequate response to methotrexate: results of a phase III study. Arthritis Rheumatol. 2015;67(6):1424-37. [DOI] [PubMed] [Google Scholar]
- 27.Burmester GR, Rubbert-Roth A, Cantagrel A, et al. Efficacy and safety of subcutaneous tocilizumab versus intravenous tocilizumab in combination with traditional DMARDs in patients with RA at week 97 (SUMMACTA). Ann Rheum Dis. 2016;75(1):68-74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Strand V, Kosinski M, Chen CI, et al. Sarilumab plus methotrexate improves patient-reported outcomes in patients with active rheumatoid arthritis and inadequate responses to methotrexate: results of a phase III trial. Arthritis Res Ther. 2016;18:198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Fleischmann R, van Adelsberg J, Lin Y, et al. Sarilumab and nonbiologic disease-modifying antirheumatic drugs in patients with active rheumatoid arthritis and inadequate response or intolerance to tumor necrosis factor inhibitors. Arthritis Rheumatol. 2017;69(2):277-90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Abdel-Nasser AM, Rasker JJ, Valkenburg HA. Epidemiological and clinical aspects relating to the variability of rheumatoid arthritis. Semin Arthritis Rheum. 1997;27(2):123-40. [DOI] [PubMed] [Google Scholar]
- 31.Davis S, Stevenson M, Tappenden P, Wailoo A; National Institute for Health and Care Excellence. NICE DSU technical support document 15: cost-effectiveness modelling using patient-level simulation. April 2014. Available at: https://www.ncbi.nlm.nih.gov/books/NBK310370/. Accessed September 26, 2019. [PubMed]
- 32.Caro JJ, Briggs AH, Siebert U, Kuntz KM, Force I-SMGRPT. Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1. Med Decis Making. 2012;32(5):667-77. [DOI] [PubMed] [Google Scholar]
- 33.Aletaha D, Neogi T, Silman AJ, et al. 2010 rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569-81. [DOI] [PubMed] [Google Scholar]
- 34.Choy E, Freemantle N, Proudfoot C, et al. Indirect treatment comparison of the efficacy and safety of sarilumab monotherapy in rheumatoid arthritis patients with inadequate response to conventional disease-modifying antirheumatic drugs. Adv Ther. 2019;36(4):817-27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Smolen JS, Kay J, Doyle MK, et al. Golimumab in patients with active rheumatoid arthritis after treatment with tumour necrosis factor alpha inhibitors (GO-AFTER study): a multicentre, randomised, double-blind, placebo-controlled, phase III trial. Lancet. 2009;374(9685):210-21. [DOI] [PubMed] [Google Scholar]
- 36.Bruce B, Fries JF. The Health Assessment Questionnaire (HAQ). Clin Exp Rheumatol. 2005;23(5 Suppl 39):S14-18. [PubMed] [Google Scholar]
- 37.Stevenson M, Archer R, Tosh J, et al. Adalimumab, etanercept, infliximab, certolizumab pegol, golimumab, tocilizumab and abatacept for the treatment of rheumatoid arthritis not previously treated with disease-modifying antirheumatic drugs and after the failure of conventional disease-modifying antirheumatic drugs only: systematic review and economic evaluation. Health Technol Assess. 2016;20(35):1-610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.National Institute for Health and Care Excellence . Adalimumab, etanercept and infliximab for the treatment of rheumatoid arthritis. Technology appraisal guidance TA130. October 22, 2007. Available at: https://www.nice.org.uk/guidance/ta130. Accessed September 26, 2019.
- 39.Diamantopoulos A, Benucci M, Capri S, et al. Economic evaluation of tocilizumab combination in the treatment of moderate-to-severe rheumatoid arthritis in Italy. J Med Econ. 2012;15(3):576-85. [DOI] [PubMed] [Google Scholar]
- 40.Wailoo AJ, Bansback N, Brennan A, Michaud K, Nixon RM, Wolfe F. Biologic drugs for rheumatoid arthritis in the Medicare program: a cost-effectiveness analysis. Arthritis Rheum. 2008;58(4):939-46. [DOI] [PubMed] [Google Scholar]
- 41.Bansback NJ, Brennan A, Ghatnekar O. Cost effectiveness of adalimumab in the treatment of patients with moderate to severe rheumatoid arthritis in Sweden. Ann Rheum Dis. 2005;64(7):995-1002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Boggs R, Sengupta N, Ashraf T. UT3 estimating health utility from a physical function assessment in rheumatoid arthritis (RA) patients treated with adalimumab (D2E7). Value Health. 2002;5(6):452-53. [Google Scholar]
- 43.Michaud K, Vera-Llonch M, Oster G. Mortality risk by functional status and health-related quality of life in patients with rheumatoid arthritis. J Rheumatol. 2012;39(1):54-59. [DOI] [PubMed] [Google Scholar]
- 44.Arias E. United States life tables, 2011. Natl Vital Stat Rep. 2015;64(11):1-63. [PubMed] [Google Scholar]
- 45.Wailoo A, Brennan A, Bansback N, Nixon R, Wolfe F, Michaud K. Modeling the cost effectiveness of etanercept, adalimumab and anakinra compared to infliximab in the treatment of patients with rheumatoid arthritis in the Medicare program. October 12, 2006. Available at: http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Reports/Research-Reports-Items/CMS1202288.html. Accessed September 26, 2019.
- 46.Bureau of Labor Statistics . Consumer Price Index. 2018. Available at: http://stats.bls.gov/cpi/. Accessed September 26, 2019.
- 47.Marra CA, Marion SA, Guh DP, et al. Not all “quality-adjusted life years” are equal. J Clin Epidemiol. 2007;60 (6):616-24. [DOI] [PubMed] [Google Scholar]
- 48.Sanders GD, Neumann PJ, Basu A, et al. Recommendations for conduct, methodological practices, and reporting of cost-effectiveness analyses: second panel on cost-effectiveness in health and medicine. JAMA. 2016;316(10):1093-103. [DOI] [PubMed] [Google Scholar]
- 49.Fonarow GC, Keech AC, Pedersen TR, et al. Cost-effectiveness of evolocumab therapy for reducing cardiovascular events in patients with atherosclerotic cardiovascular disease. JAMA Cardiol. 2017;2(10):1069-78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Anderson JL, Heidenreich PA, Barnett PG, et al. ACC/AHA statement on cost/value methodology in clinical practice guidelines and performance measures: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63(21):2304-22. [DOI] [PubMed] [Google Scholar]
- 51.Neumann PJ, Sanders GD. Cost-effectiveness analysis 2.0. N Engl J Med. 2017;376(3):203-05. [DOI] [PubMed] [Google Scholar]
- 52.Briggs A, Sculpher M, Claxton K. Decision Modelling for Health Economic Evaluation. New York: Oxford University Press; 2000. [Google Scholar]
- 53.Huynh T, Proudfoot C, Chen C, et al. Network meta-analysis of the efficacy and safety of sarilumab monotherapy and combination therapy in rheumatoid arthritis patients with intolerance or inadequate response to disease-modifying antirheumatic drugs. Paper presented at: Academy of Managed Care Pharmacy Nexus; October 16-29, 2017; Dallas, TX. [Google Scholar]
- 54.Vashisht P, O’Dell J. Not all TNF inhibitors in rheumatoid arthritis are created equal: important clinical differences. Expert Opin Biol Ther. 2017;17(8):989-99. [DOI] [PubMed] [Google Scholar]
- 55.American College of Rheumatology. Position statement: step therapy . February 2019. Available at: https://www.rheumatology.org/Portals/0/Files/Step%20Therapy.pdf. Accessed September 26, 2019.
- 56.Whittington MD, McQueen RB, Ollendorf DA, et al. Assessing the value of sarilumab monotherapy for adults with moderately to severely active rheumatoid arthritis: a cost-effectiveness analysis. J Manag Care Spec Pharm. 2019;25(1):80-87. Available at: https://www.jmcp.org/doi/10.18553/jmcp.2019.25.1.080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Fournier M, Chen CI, Kuznik A, Proudfoot C, Mallya UG, Michaud K. Sarilumab monotherapy compared with adalimumab monotherapy for the treatment of moderately to severely active rheumatoid arthritis: an analysis of incremental cost per effectively treated patient. Clinicoecon Outcomes Res. 2019;11:117-28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.National Institute for Health and Care Excellence . Adalimumab, etanercept, infliximab, rituximab and abatacept for the treatment of rheumatoid arthritis after the failure of a TNF inhibitor. Technology appraisal guidance TA195. August 25, 2010. Available at: https://www.nice.org.uk/guidance/ta195. Accessed September 26, 2019.
- 59.Curtis JR, Jain A, Askling J, et al. A comparison of patient characteristics and outcomes in selected European and U.S. rheumatoid arthritis registries. Semin Arthritis Rheum. 2010;40(1):2-14.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Ramsey SD, Willke RJ, Glick H, et al. Cost-effectiveness analysis alongside clinical trials II-An ISPOR Good Research Practices Task Force report. Value Health. 2015;18(2):161-72. [DOI] [PubMed] [Google Scholar]
