Economic Evaluation of Sequences of Biological Treatments for Patients With Moderate-to-Severe Rheumatoid Arthritis and Inadequate Response or Intolerance to Methotrexate in France

Cost-Utility Analysis of TNF-α Inhibitors, B Cell Inhibitors, and JAK Inhibitors Versus csDMARDs for Rheumatoid Arthritis Treatment

INTRODUCTION

Rheumatoid arthritis (RA) is a progressive and debilitating disease, causing persistent joint pain that limits daily activities requiring long-term treatment. Newer targeted therapies expand RA treatment options, but their high cost necessitates a focus on cost effectiveness. To address this, we aim to conduct a cost-utility analysis of these newer RA pharmacotherapies to support evidence-based policy decision-making.

METHODS

We analyzed the cost-utility of sequential treatment with TNF-α, B cell and JAK-inhibitors compared with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) for RA treatment in methotrexate (MTX) nonresponders. We used a Markov model with lifetime horizon and 6-month cycles from an Indian health system perspective. Costs (INR 2022) and quality-adjusted life years (QALYs) were used to determine the incremental cost-effectiveness ratios (ICERs) at a cost-effectiveness threshold of India's gross domestic product (GDP) per capita (2022). We assessed uncertainty using univariate, probabilistic sensitivity, and scenario analyses.

RESULTS

Despite additional QALYs, TNF-α, B cell, and JAK inhibitors were not cost-effective for treating moderate-to-severe patients with RA unresponsive to csDMARDs (including MTX) in India, as increased costs outweighed their clinical benefits. ICERs ranged from 10,46,206 to 31,09,207 Indian Rupees in the base case analysis, exceeding three times India's GDP per-capita [approximately USD $13,287 to $39,487 and GBP £10,776 to £32,025]. Sensitivity analyses confirmed the results' robustness. Scenario analysis suggested that a cost reduction of over 75% in drug prices could make most of the interventions cost effective compared with csDMARDs.

CONCLUSIONS

TNF-α, B cell, and JAK-inhibitors are not cost-effective compared with csDMARDs for patients with RA who have not responded to MTX in India at the current prices. Cost-effectiveness estimates were highly influenced by drug pricing variations. Therefore, reducing the prices of these interventions could enhance affordability, potentially leading to their inclusion in publicly funded health programs.

Modelling the opportunity for cost-savings or patient access with biosimilar adalimumab and tocilizumab: a European perspective

OBJECTIVES

Biosimilars improve patient access by providing cost-effective treatment options. This study assessed the potential for savings and expanded patient access with increased use of two biosimilar disease modifying anti-rheumatic drugs (DMARDs): (a) approved adalimumab biosimilars and (b) the first tocilizumab biosimilar, representing an established biosimilar field and a recent biosimilar entrant in France, Germany, Italy, Spain, and the United Kingdom (UK).

METHODS

Separate ex-ante analyses were conducted for each country, parameterized using country-specific list prices, unit volumes annually, and market shares for each therapy. Discounting scenarios of 10%, 20%, and 30% were tested for tocilizumab. Outputs included direct cost-savings associated with drug acquisition or the incremental number of patients that could be treated if savings were redirected. Two biosimilar conversion scenarios were tested.

RESULTS

Savings associated with a 100% conversion to adalimumab biosimilar ranged from €10.5 to €187 million (UK and Germany, respectively), or an additional 1,096 to 19,454 patients that could be treated using the cost-savings. Introduction of a tocilizumab biosimilar provided savings up to €29.3 million in the most conservative scenario. Exclusive use of tocilizumab biosimilars (at a 30% discount) could increase savings to €28.8 to €113 million or expand access to an additional 43% of existing tocilizumab users across countries.

CONCLUSION

This study demonstrates the benefits that can be realized through increased biosimilar adoption, not only in an untapped tocilizumab market, but also through incremental increases in well-established markets such as adalimumab. As healthcare budgets continue to face downwards pressure globally, strategies to increase biosimilar market share could prove useful to help manage financial constraints.

Schisandrin treatment suppresses the proliferation, migration, invasion, and inflammatory responses of fibroblast-like synoviocytes from rheumatoid arthritis patients and attenuates synovial inflammation and joint destruction in CIA mice

BACKGROUND

Rheumatoid arthritis (RA) is a systemic autoimmune disease causing joint dysfunction. As disease-modifying anti-rheumatic drugs (DMARDs) have poor efficacy in 20% to 25% of RA patients, additional novel RA medications are urgently needed. Schisandrin (SCH) has multiple therapeutic effects. However, whether SCH is effective against RA remains unknown.

PURPOSE

To investigate how SCH affects the abnormal behaviours of RA fibroblast-like synoviocytes (FLSs) and further elucidate the underlying mechanism of SCH in RA FLSs and collagen-induced arthritis (CIA) mice.

METHODS

Cell Counting Kit-8 (CCK8) assays were used to characterize cell viability. EdU assays were performed to assess cell proliferation. Annexin V-APC/PI assays were used to determine apoptosis. Transwell chamber assays were used to measure cell migration and invasion in vitro. RT-qPCR was used to assess proinflammatory cytokine and MMP mRNA expression. Western blotting was used to detect protein expression. RNA sequencing was performed to explore the potential downstream targets of SCH. CIA model mice were used to assess the treatment efficacy of SCH in vivo.

RESULTS

Treatments with SCH (50, 100, and 200 μΜ) inhibited RA FLSs proliferation, migration, invasion, and TNF-α-induced IL-6, IL-8, and CCL2 expression in a dose-dependent manner but did not affect RA FLSs viability or apoptosis. RNA sequencing and Reactome enrichment analysis indicated that SREBF1 might be the downstream target in SCH treatment. Furthermore, knockdown of SREBF1 exerted effects similar to those of SCH in inhibiting RA FLSs proliferation, migration, invasion, and TNF-α-induced expression of IL-6, IL-8, and CCL2. Both SCH treatment and SREBF1 knockdown decreased activation of the PI3K/AKT and NF-κB signalling pathways. Moreover, SCH ameliorated joint inflammation and cartilage and bone destruction in CIA model mice.

CONCLUSION

SCH controls the pathogenic behaviours of RA FLSs by targeting SREBF1-mediated activation of the PI3K/AKT and NF-κB signalling pathways. Our data suggest that SCH inhibits FLS-mediated synovial inflammation and joint damage and that SCH might have therapeutic potential for RA.

A Systematic Literature Review of Gaps and Challenges in Value Assessment of Biosimilars: An ISPOR Special Interest Group Report

OBJECTIVES

This study aims to provide an overview of the gaps and challenges in the value assessment of biosimilars and to identify potential approaches to address them.

METHODS

A multidisciplinary, international team of biosimilar experts identified gaps and challenges. A systematic review was conducted of the peer-reviewed literature in PubMed, EMBASE, Web of Science Core Collection, EBSCOhost Business Source Complete; and of the gray literature. Preliminary results were presented at ISPOR conferences and this article benefited from 2 review rounds among ISPOR Biosimilar Special Interest Group members.

RESULTS

Given that a biosimilar is highly similar to its reference biologic, health technology assessment agencies should accept the comparability exercise approved by regulatory authorities and, thus, conduct a price comparison when biosimilar reimbursement is requested for the same indication as the reference biologic. If the reference biologic is not reimbursed or is not the standard of care, a full economic evaluation of the biosimilar versus a relevant comparator needs to be conducted. To date, little consideration has been given to specific challenges, such as how biosimilar value assessment can account for the nocebo effect, potential differences between biologic-naive and biologic-experienced patients, the availability of intravenous and subcutaneous administration forms or different administration devices for the same active compound, value-added services, and the contribution of biosimilars for generating health gain at the population level.

CONCLUSIONS

There is a need to gather further insights in the methodology of value assessment for biosimilars, and health technology assessment agencies need to develop more elaborate guidance on biosimilar value assessment in specific circumstances.

Cost-effectiveness of tumor necrosis factor-alpha inhibitors: a systematic review and meta-analysis of cost-utility studies

OBJECTIVE

To systematically review the cost-utility evidence of TNF-a-i treatment for rheumatoid arthritis (RA) and to estimate the pooled incremental net benefit (INBp).

METHODS

We selected economic evaluation studies reporting the cost-utility of TNF-a-i compared to other disease-modifying anti-rheumatic drugs (DMARDs) after a systematic search in PubMed, Embase, Scopus, and Tufts Medical Centers' cost-effective analysis registry. The results were reported as pooled INB in purchasing power parity-adjusted US dollars, along with 95% confidence intervals. We used GRADE quality assessment to present summaries of evidence and random-effects meta-analysis to synthesize cost-utility of TNF-a-i.

RESULTS

We included 86 studies for systematic review, of which 27 for meta-analysis. TNF-a-i is not cost-effective [$ -4,129(-6,789 to -1,469)] compared to other DMARDs but with high heterogeneity. There was no evidence of publication bias (p = 0.447). On separate analysis, TNF-a-i is not cost-effective [$ -4,805(-7,882 to -1,728)] compared to conventional synthetic DMARDs for RA treatment. GRADE assessment indicated very low confidence in pooled cost-utility results and likely presence of risk of bias on the overall ECOBIAS checklist in studies.

CONCLUSION

Based on the available evidence during the study period, TNF-a-i is not a cost-effective option for treating RA compared to other DMARDs. However, high heterogeneity and low confidence in GRADE quality assessment preclude the results from being generalizable.

Cost-Effectiveness Analysis of HPV Extended versus Partial Genotyping for Cervical Cancer Screening in Singapore

Human papillomavirus (HPV) partial genotyping (PGT) identifies HPV16 and HPV18 individually, alongside 12 other high-risk HPV genotypes (hrHPV) collectively. HPV extended genotyping (XGT) identifies four additional hrHPV individually (HPV31, 45, 51, and 52), and reports the remaining eight in three groups (HPV33|58; 56|59|66; 35|39|68). Quality-adjusted life years (QALY), health care resource use, and costs of XGT were compared to PGT for cervical cancer screening in Singapore using DICE simulation. Women with one of the three hrHPV identified by XGT (HPV35|39|68; 56|59|66; 51), and atypical squamous cells of undetermined significance (ASCUS) on cytology, are recalled for a repeat screening in one year, instead of undergoing an immediate colposcopy with PGT. At the repeat screening, the colposcopy is performed only for persistent same-genotype infections in XGT, while with PGT, all the women with persistent HPV have a colposcopy. Screening 500,122 women, aged 30-69, with XGT, provided an incremental cost-effectiveness ratio (ICER) versus PGT of SGD 16,370/QALY, with 7130 (19.4%) fewer colposcopies, 6027 (7.0%) fewer cytology tests, 9787 (1.6%) fewer clinic consultations, yet 2446 (0.5%) more HPV tests. The XGT ICER remains well below SGD 100,000 in sensitivity analyses, (-SGD 17,736/QALY to SGD 50,474/QALY). XGT is cost-effective compared to PGT, utilizes fewer resources, and provides a risk-based approach as the primary cervical cancer screening method.

Vaccination and Multiple Sclerosis – Current Situation

Active immunization of patients with autoimmune diseases is a current challenge. Vaccination of patients with multiple sclerosis (MS) has been shown not to be associated with increased risk of exacerbation. A personalized approach to immunization of this group of patients is required, taking account of ongoing therapy and the nature of the course of illness. MS is not an absolute contraindication for vaccination against the new coronavirus infection. Vaccination can be with any of the currently authorized immunoformulations.

Four Aspects Affecting Health Economic Decision Models and Their Validation

Health care decision makers in many jurisdictions use cost-effectiveness analysis based on health economic decision models for policy decisions regarding coverage and price negotiation for medicines and medical devices. While validation of health economic decision models has always been considered important, many reviews of model-based cost-effectiveness studies report limitations regarding their validation. The current opinion paper discusses four aspects of current health economic decision modeling with relevance for future directions in model validation: increased use of complex models, international cooperation, open-source modeling, and stakeholder involvement. First, new, more complex clinical study designs and treatment strategies may require relatively complex model structures and/or input data analyses. Simultaneously, more widespread technical knowledge along with wider data availability have led to a broader range of model types. This puts extra requirements on model validation and transparency. Second, increased international cooperation of policy makers and, in particular, health technology assessment (HTA) authorities in performing model assessments is discussed in relation to the repeated use of health economic models (multi-use disease models). We argue such coordinated efforts may benefit model validity. Third, open-source modeling is discussed as one possible answer to increased transparency requirements. Finally, involvement of all relevant stakeholders throughout the whole decision process is an ongoing development that necessarily also includes health economic modeling. We argue this implies that model validity should be considered in a broader perspective, with more focus on conceptual modeling, model transparency, accuracy requirements, and choice of relevant model outcomes than previously.

Recommendations of the Brazilian Society of Rheumatology for the use of JAK inhibitors in the management of rheumatoid arthritis

Rheumatoid arthritis (RA) is a chronic and autoimmune systemic inflammatory disease that can cause irreversible joint deformities, with increased morbidity and mortality and a significant impact on the quality of life of the affected individual. The main objective of RA treatment is to achieve sustained clinical remission or low disease activity. However, up to 40% of patients do not respond to available treatments, including bDMARDs. New therapeutic targets for RA are emerging, such as Janus kinases (JAKs). These are essential for intracellular signaling (via JAK-STAT) in response to many cytokines involved in RA immunopathogenesis. JAK inhibitors (JAKi) have established themselves as a highly effective treatment, gaining increasing space in the therapeutic arsenal for the treatment of RA. The current recommendations aim to present a review of the main aspects related to the efficacy and safety of JAKis in RA patients, and to update the recommendations and treatment algorithm proposed by the Brazilian Society of Rheumatology in 2017.

Predicting Hospital Resource Use During COVID-19 Surges: A Simple but Flexible Discretely Integrated Condition Event Simulation of Individual Patient-Hospital Trajectories

OBJECTIVES

To assist with planning hospital resources, including critical care (CC) beds, for managing patients with COVID-19.

METHODS

An individual simulation was implemented in Microsoft Excel using a discretely integrated condition event simulation. Expected daily cases presented to the emergency department were modeled in terms of transitions to and from ward and CC and to discharge or death. The duration of stay in each location was selected from trajectory-specific distributions. Daily ward and CC bed occupancy and the number of discharges according to care needs were forecast for the period of interest. Face validity was ascertained by local experts and, for the case study, by comparing forecasts with actual data.

RESULTS

To illustrate the use of the model, a case study was developed for Guy's and St Thomas' Trust. They provided inputs for January 2020 to early April 2020, and local observed case numbers were fit to provide estimates of emergency department arrivals. A peak demand of 467 ward and 135 CC beds was forecast, with diminishing numbers through July. The model tended to predict higher occupancy in Level 1 than what was eventually observed, but the timing of peaks was quite close, especially for CC, where the model predicted at least 120 beds would be occupied from April 9, 2020, to April 17, 2020, compared with April 7, 2020, to April 19, 2020, in reality. The care needs on discharge varied greatly from day to day.

CONCLUSIONS

The DICE simulation of hospital trajectories of patients with COVID-19 provides forecasts of resources needed with only a few local inputs. This should help planners understand their expected resource needs.

[Vaccination and multiple sclerosis at the present stage]

Immunization of the patients with autoimmune diseases is rising a lot of concerns. It was previously demonstrated that vaccination in MS patients was not associated with an increased risk of exacerbations. A personalized approach is needed to define the immunization schedule. A decision should be made based on the course of the disease and the treatment used. Multiple sclerosis is not an absolute contraindication to vaccination. Any authorized vaccine can be used in MS patients.

Sequences of biological treatments for patients with moderate-to-severe rheumatoid arthritis in the era of treat-to-target in China: a cost-effectiveness analysis

BACKGROUND

Biologic disease-modifying antirheumatic drugs (bDMARDs) are recommended to be added in sequentially in the treatment of moderate-to-severe rheumatoid arthritis (RA). All these drugs, however, are substantially more expensive than conventional synthetic DMARDs throughout the world, including in China. The objective of this study is to evaluate the cost-effectiveness of treatment sequences of bDMARDs for patients with moderate-to-severe rheumatoid arthritis from the Chinese healthcare system perspective.

METHODS

An individual patient simulation model was used to track the course of patients from first treatment through switches to further lines in a sequence. The comparator treatment sequence commenced with methotrexate, followed by non-biologic therapy. The intervention sequences were assumed to be the combinations of bDMARDs available, followed by non-biologic therapy. Life-years, quality-adjusted life-years (QALYs), and lifetime costs were estimated. Univariable and probabilistic sensitivity analyses and scenario analyses were performed to evaluate the model uncertainty.

RESULTS

Compared with the comparator treatment sequence, bDMARDs sequences were associated with more life years, QALYs, and cost. These produced ICERs ranged from $27,441.36/QALY to $40,149.2/QALY, above the willingness-to-pay threshold of $10,378 per QALY. The uncertainty analyses and the scenario analyses confirmed the result of the base case analysis.

CONCLUSIONS

From the perspective of the Chinese healthcare system, bDMARDs sequences are estimated not to be cost-effective compared with conventional synthetic disease-modifying antirheumatic drug strategy for patients with moderate-to-severe RA at a WTP threshold of $10,378 per QALY. Price reductions are warranted to make bDMARDs cost-effective and affordable.

Quantitative Evidence Synthesis Methods for the Assessment of the Effectiveness of Treatment Sequences for Clinical and Economic Decision Making: A Review and Taxonomy of Simplifying Assumptions

Sequential use of alternative treatments for chronic conditions represents a complex intervention pathway; previous treatment and patient characteristics affect both the choice and effectiveness of subsequent treatments. This paper critically explores the methods for quantitative evidence synthesis of the effectiveness of sequential treatment options within a health technology assessment (HTA) or similar process. It covers methods for developing summary estimates of clinical effectiveness or the clinical inputs for the cost-effectiveness assessment and can encompass any disease condition. A comprehensive review of current approaches is presented, which considers meta-analytic methods for assessing the clinical effectiveness of treatment sequences and decision-analytic modelling approaches used to evaluate the effectiveness of treatment sequences. Estimating the effectiveness of a sequence of treatments is not straightforward or trivial and is severely hampered by the limitations of the evidence base. Randomised controlled trials (RCTs) of sequences were often absent or very limited. In the absence of sufficient RCTs of whole sequences, there is no single best way to evaluate treatment sequences; however, some approaches could be re-used or adapted, sharing ideas across different disease conditions. Each has advantages and disadvantages, and is influenced by the evidence available, extent of treatment sequences (number of treatment lines or permutations), and complexity of the decision problem. Due to the scarcity of data, modelling studies applied simplifying assumptions to data on discrete treatments. A taxonomy for all possible assumptions was developed, providing a unique resource to aid the critique of existing decision-analytic models.

Cost-utility analysis of treatment options after initial tumor necrosis factor inhibitor therapy discontinuation in patients with rheumatoid arthritis

BACKGROUND: For patients with rheumatoid arthritis (RA) who discontinued initial treatment with tumor necrosis factor inhibitor (TNFi), 2 approaches are commonly used: cycling to another TNFi or switching to a drug with another mechanism of action. Currently, there is no consensus on which approach to use first. A report from the IBM MarketScan Research administrative claims database showed adalimumab (cycling strategy) and abatacept (switching strategy) were more commonly prescribed after the first TNFi discontinuation. OBJECTIVE: To evaluate the cost-utility of adalimumab versus abatacept in patients with RA whose initial TNFi therapy failed. METHODS: A probabilistic cost-utility microsimulation state-transition model was used. Our target population was commercially insured adults with RA, the time horizon was 10 years, and we used a payer perspective. Patients not responding to adalimumab or abatacept were moved to the next drug in a sequence of 3 and, finally, to conventional synthetic therapy. Incremental cost-utility ratios (2016 USD per quality-adjusted-life-year gained [QALY)] were calculated. Utilities were derived from a formula based on the Health Assessment Questionnaire Disability Index and age-adjusted comorbidity score. RESULTS: Switching to abatacept after the first TNFi showed an incremental cost of just more than $11,300 over 10 years and achieved a QALY benefit of 0.16 compared with adalimumab. The incremental cost-effectiveness ratio was $68,950 per QALY. Scenario analysis produced an incremental cost-effectiveness ratio range of $44,573 per QALY to $148,558 per QALY. Probabilistic sensitivity analysis showed that switching to abatacept after TNFi therapy failure had an 80.6% likelihood of being cost-effective at a willingness-to-pay threshold of $100,000 per QALY. CONCLUSIONS: Switching to abatacept is a cost-effective strategy for patients with RA whose discontinue initial therapy with TNFi. DISCLOSURES: Funding for this project was provided by a Rheumatology Research Foundation Investigator Award (principal investigator: Maria A. Lopez-Olivo). Karpes Matusevich's work was supported by a Doctoral Dissertation Research Award from the University of Texas, School of Public Health Office of Research. Lal reports competing interests outside of the submitted work (employed by Optum). Suarez-Almazor reports competing interests outside of the submitted work (consulting fees from Pfizer, AbbVie, Eli Lilly, Agile Therapeutics, Amag Pharmaceuticals, and Gilead). Chan, Swint, and Cantor have nothing to disclose.