Cost-effectiveness of sequenced treatment of rheumatoid arthritis with targeted immune modulators

A Review of Advances in Molecular Imaging of Rheumatoid Arthritis: From In Vitro to Clinic Applications Using Radiolabeled Targeting Vectors with Technetium-99m

Rheumatoid arthritis (RA) is a systemic autoimmune disorder caused by inflammation of cartilaginous diarthrodial joints that destroys joints and cartilage, resulting in synovitis and pannus formation. Timely detection and effective management of RA are pivotal for mitigating inflammatory arthritis consequences, potentially influencing disease progression. Nuclear medicine using radiolabeled targeted vectors presents a promising avenue for RA diagnosis and response to treatment assessment. Radiopharmaceutical such as technetium-99m (99mTc), combined with single photon emission computed tomography (SPECT) combined with CT (SPECT/CT), introduces a more refined diagnostic approach, enhancing accuracy through precise anatomical localization, representing a notable advancement in hybrid molecular imaging for RA evaluation. This comprehensive review discusses existing research, encompassing in vitro, in vivo, and clinical studies to explore the application of 99mTc radiolabeled targeting vectors with SPECT imaging for RA diagnosis. The purpose of this review is to highlight the potential of this strategy to enhance patient outcomes by improving the early detection and management of RA.

Challenges and Opportunities in Interdisciplinary Research and Real-World Data for Treatment Sequences in Health Technology Assessments

With an ever-increasing number of treatment options, the assessment of treatment sequences has become crucial in health technology assessment (HTA). This review systematically explores the multifaceted challenges inherent in evaluating sequences, delving into their interplay and nuances that go beyond economic model structures. We synthesised a 'roadmap' of literature from key methodological studies, highlighting the evolution of recent advances and emerging research themes. These insights were compared against HTA guidelines to identify potential avenues for future research. Our findings reveal a spectrum of challenges in sequence evaluation, encompassing selecting appropriate decision-analytic modelling approaches and comparators, deriving appropriate clinical effectiveness evidence in the face of data scarcity, scrutinising effectiveness assumptions and statistical adjustments, considering treatment displacement, and optimising model computations. Integrating methodologies from diverse disciplines-statistics, epidemiology, causal inference, operational research and computer science-has demonstrated promise in addressing these challenges. An updated review of application studies is warranted to provide detailed insights into the extent and manner in which these methodologies have been implemented. Data scarcity on the effectiveness of treatment sequences emerged as a dominant concern, especially because treatment sequences are rarely compared in clinical trials. Real-world data (RWD) provide an alternative means for capturing evidence on effectiveness and future research should prioritise harnessing causal inference methods, particularly Target Trial Emulation, to evaluate treatment sequence effectiveness using RWD. This approach is also adaptable for analysing trials harbouring sequencing information and adjusting indirect comparisons when collating evidence from heterogeneous sources. Such investigative efforts could lend support to reviews of HTA recommendations and contribute to synthesising external control arms involving treatment sequences.

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 of Rituximab Therapy for Rheumatoid Arthritis: A Systematic Review and Meta-Analysis of Cost-Utility Studies

BACKGROUND AND OBJECTIVES

Depletion of B cells is shown to be clinically effective for rheumatoid arthritis (RA) treatment. Although B-cell depletion therapy with rituximab is indicated for RA patients who have failed to other disease-modifying anti-rheumatic drugs (DMARDs), primary cost-effectiveness evidence is inconsistent. We aimed to provide synthesised cost-effectiveness evidence of rituximab in the treatment of RA compared to other DMARDs, since the published cost-effectiveness evidence is mixed.

METHODS

We identified economic evaluation studies reporting cost-utility of rituximab compared to other DMARDs by searching PubMed, Embase, Scopus, and Tufts Cost-Effective Analysis registry. Using random-effects meta-analysis, we pooled incremental net benefit (INB) in (purchasing power parity) adjusted US$ with 95% confidence intervals. We used the modified economic evaluations bias checklist and Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) instrument for quality appraisal. The study protocol was pre-registered with PROSPERO, CRD 42021222541.

RESULTS

Of the selected 18 studies, the majority were from high-income countries (n = 14) followed by upper middle-income countries (n = 3) and lower middle-income countries (n = 1), with minimal risk of bias. Rituximab is significantly cost effective with a pooled INB (95% CI) of $8767 (720 to 16,814). On subgroup analysis, rituximab is significantly cost effective from a health system perspective [$12,832 (3392 to 22,272)], for studies using 3.5% discount rate [$15,468 (5973 to 24,963)] and a for a time horizon of less than 5 years [$8496 (1547 to 15,445)]. In a separate analysis, rituximab as third-line therapy (for conventional synthetic DMARDs followed by any other biologic DMARD failed patients) was not cost effective compared to DMARDs [$5314 (-2278 to 12,905)]. Further, the GRADE assessment indicated very-low confidence in the pooled results.

CONCLUSION

Rituximab is cost effective compared to other DMARDs but not if used as third-line therapy after failure of biologics. There is a need to generate context-specific evidence for the lower income settings.

Cost-effectiveness of janus kinase inhibitors for rheumatoid arthritis: A systematic review and meta-analysis of cost-utility studies

Introduction: Janus kinase inhibitors (JAK-i), a class of targeted synthetic disease-modifying antirheumatic drugs (tDMARDs), are suggested as second or third-line therapies in rheumatoid arthritis (RA). Synthesized cost-effective evidence would aid in informed decision-making given the similar clinical effectiveness of JAKi, but incongruent cost-effectiveness reports. Methods: Literature search was conducted in PubMed, Embase, Scopus, and Tufts Medical Centers' cost-effective analysis registry. We pooled the incremental net benefit (INB) with 95% confidence interval (CI) using random-effects model and the heterogeneity was assessed using Cochrane-Q test and I2 statistic. Modified economic evaluation bias checklist was used to assess the quality of selected studies. Publication bias was assessed using a funnel plot and Egger's test. The Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) assessment was performed to assess the certainty of outcomes presented. Results: We included seventeen relevant studies for systematic review, of which fifteen were eligible for meta-analysis. The meta-analysis results showed that JAK-i is cost-effective compared to csDMARDS/bDMARDs with a pooled INB (INBp) of $19,886 (95% CI, 1,635 to 38,137) but with considerable heterogeneity (I2 = 99.14). As a second-line treatment for csDMARD failed RA, JAK-i is cost-effective than csDMARD/bDMARD with a pooled INB of $23,144 (74.1-46,214) and high heterogeneity (I2 = 99.67). But on a separate analysis JAK-i as second-line treatment is not cost-effective than TNF-a-i (INBp = $25,813, -5,714 to 57,340). However, leave-one-out analysis found that omitting a single outlier makes JAK-i cost-effective. Further, JAK-i is not cost-effective as a third-line treatment for csDMARD-TNF-a-I failed RA, compared to csDMARDs/bDMARDs with INBp $26,157 (-7,284 to 59,598). Conclusion: Meta-analysis suggests that JAK-i is cost-effective when used after csDMARD failure but not cost-effective when used after csDMARD-TNF-a-i failure with low certainty of evidence. Clinical Trial Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021222541, identifier CRD42021222541.

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.

Methodological aspects of design, analysis and reporting of studies with work participation as an outcome domain in patients with inflammatory arthritis: results of two systematic literature reviews informing EULAR points to consider

Objective

To summarise the methodological aspects in studies with work participation (WP) as outcome domain in inflammatory arthritis (IA) and other chronic diseases.

Methods

Two systematic literature reviews (SLRs) were conducted in key electronic databases (2014–2019): search 1 focused on longitudinal prospective studies in IA and search 2 on SLRs in other chronic diseases. Two reviewers independently identified eligible studies and extracted data covering pre-defined methodological areas.

Results

In total, 58 studies in IA (22 randomised controlled trials, 36 longitudinal observational studies) and 24 SLRs in other chronic diseases were included. WP was the primary outcome in 26/58 (45%) studies. The methodological aspects least accounted for in IA studies were as follows (proportions of studies positively adhering to the topic are shown): aligning the studied population (16/58 (28%)) and sample size calculation (8/58 (14%)) with the work-related study objective; attribution of WP to overall health (28/58 (48%)); accounting for skewness of presenteeism/sick leave (10/52 (19%)); accounting for work-related contextual factors (25/58 (43%)); reporting attrition and its reasons (1/58 (2%)); reporting both aggregated results and proportions of individuals reaching predefined meaningful change or state (11/58 (16%)). SLRs in other chronic diseases confirmed heterogeneity and methodological flaws identified in IA studies without identifying new issues.

Conclusion

High methodological heterogeneity was observed in studies with WP as outcome domain. Consensus around various methodological aspects specific to WP studies is needed to improve quality of future studies. This review informs the EULAR Points to Consider for conducting and reporting studies with WP as an outcome in IA.

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.

Tofacitinib in the Treatment of Moderate-to-Severe Rheumatoid Arthritis in China: A Cost-Effectiveness Analysis Based on a Mapping Algorithm Derived from a Chinese Population

INTRODUCTION

To estimate the cost-effectiveness of tofacitinib for patients with moderate-to-severe rheumatoid arthritis (RA) who failed conventional synthetic disease-modifying antirheumatic drugs from the Chinese healthcare system perspective.

METHODS

An individual patient simulation model was used to estimate the lifetime cost and effectiveness. The comparator sequence commenced with etanercept, followed by rituximab-tocilizumab- non-biologic therapy. The intervention sequences were assumed to add tofacitinib to different positions in the comparator sequence. Quality-of-life estimates were generated by mapping Health Assessment Questionnaire scores to utility with the algorithm derived from a Chinese population. Scenario analyses, univariable and probabilistic sensitivity analyses were performed to evaluate the model uncertainty.

RESULTS

Compared with the comparator sequence, patients receiving tofacitinib as the first-, second-, third- and fourth-line treatment gained additional 0.49, 0.59, 0.44 and 0.53 QALYs, respectively, and the use of tofacitinib as the first- and second-line treatment was less costly, whereas the use of tofacitinib as the third- and fourth-line treatment cost an additional $234,998 and $381,116, respectively. This produced an incremental cost-effectiveness ratio of $333.73 and $9669.34/QALY, respectively.

CONCLUSION

Tofacitinib is estimated to be dominant in both the first- and second-line settings and to be highly cost-effective in both the third- and fourth-line settings.

Cost-effectiveness analysis of tofacitinib compared with adalimumab and etanercept in the treatment of severe active rheumatoid arthritis; Iranian experience

BACKGROUND AND OBJECTIVE

This study aimed to evaluate the cost-utility of Tofacitinib (TFC) in patients with severe rheumatoid arthritis (RA) who had not responded well to methotrexate from the Iranian payer's perspective.

METHODS

An individual microsimulation Markov model was developed to compare TFC with etanercept (ETN) and Adalimumab (ADA) over a life-time horizon. Treatment efficacy was estimated based on the American College of Rheumatology (ACR) response improvement criteria in 6 months. Changes in the Health Assessment Questionnaire (HAQ) scores were mapped onto utility values to calculate outcomes in terms of QALYs. Direct medical costs were taken from national databases. Uncertainty in model parameters was evaluated by sensitivity analyses.

RESULTS

This study demonstrated that TFC was cost-effective in both scenarios. Although TFC was associated with lower QALYs than ETN (6.664 versus 6.876), it was also associated with lower costs over a life-time horizon ($42,565.04 versus $58,696.29). Additionally, TFC was found to be the dominant strategy with a lower cost ($50,299.91 versus $51,550.29) and higher QALYs gained (6.900 versus 6.687) compared to ADA.

CONCLUSION

TFC was found to be cost-effective in patients with severe RA who do not respond well to methotrexate compared to ADA, ETN in Iran.

The Effect of Dose Escalation on the Cost-Effectiveness of Etanercept and Adalimumab with Methotrexate Among Patients with Moderate to Severe Rheumatoid Arthritis

BACKGROUND

Patients with moderate to severe rheumatoid arthritis (RA) occasionally increase their doses of tumor necrosis factor (TNF) inhibitors, especially the monoclonal antibody origin drugs such as adalimumab and infliximab, after inadequate response to the initial dose. Previous studies have evaluated the cost-effectiveness of various sequences of treatment for RA in the United States but have not considered the effect of dose escalation.

OBJECTIVE

To assess the cost-effectiveness of etanercept and adalimumab by incorporating the effect of dose escalation in moderate to severe RA patients.

METHODS

We adapted the open-source Innovation and Value Initiative - Rheumatoid Arthritis model, version 1.0 to separately simulate the magnitude and time to dose escalation among RA patients taking adalimumab plus methotrexate or etanercept plus methotrexate from a societal perspective and lifetime horizon. An important assumption in the model was that dose escalation would increase treatment costs through its effect on the number of doses but would have no effect on effectiveness. We estimated the dose escalation parameters using the IBM MarketScan Commercial and Medicare Supplemental Databases. We fit competing parametric survival models to model time to dose escalation and used model diagnostics to compare the fit of the competing models. We measured the magnitude of dose escalation as the percentage increase in the number of doses conditional on dose escalation. Finally, we used the parameterized model to simulate treatment sequences beginning with a TNF inhibitor (adalimumab, etanercept) followed by nonbiologic treatment.

RESULTS

In baseline models without dose escalation, the incremental cost per quality-adjusted life-year of the etanercept treatment sequence relative to the adalimumab treatment sequence was $85,593. Incorporating dose escalation increased treatment costs for each sequence, but costs increased more with adalimumab, lowering the incremental cost-effectiveness ratio to $9,001. At willingness-to-pay levels of $100,000, the etanercept sequence was more cost-effective compared with the adalimumab sequence, with probability 0.55 and 0.85 in models with and without dose escalation, respectively.

CONCLUSIONS

Dose escalation has important effects on cost-effectiveness and should be considered when comparing biologic medications for the treatment of RA.

DISCLOSURES

Funding for this study was contributed by Amgen. When this work was conducted, Incerti and Jansen were employees of Precision Health Economics, which received financial support from Amgen. Maksabedian Hernandez, Collier, Gharaibeh, and Stolshek were employees and stockholders of Amgen, and Tkacz and Moore-Schiltz were employees of IBM Watson Health, which received financial support from Amgen. Some of the results of this work were previously presented as a poster at the 2019 AMCP Managed Care & Specialty Pharmacy Annual Meeting, March 25-28, 2019, in San Diego, CA.

Cost-utility analyses of targeted immunomodulators in rheumatoid arthritis: systematic review

Aims: Cost-utility (CU) modeling is a common technique used to determine whether new treatments represent good value for money. As with any modeling exercise, findings are a direct result of methodology choices, which may vary widely. Several targeted immuno-modulators have been launched in recent years to treat moderate-to-severe rheumatoid arthritis (RA) which have been evaluated using CU methods. Our objectives were to identify common and innovative modeling choices in moderate-to-severe RA and to highlight their implications for future models in RA.Materials and methods: A systematic literature search was conducted to identify CU models in moderate-to-severe RA published from January 2013 to June 2019. Studies must have included an active comparator and used quality-adjusted life-years (QALYs) as the common measure of effectiveness. Modeling methods were characterized by stakeholder perspective, simulation type, mapping between parameters, and data sources.Results: Thirty-one published modeling studies were reviewed spanning 13 countries and 9 drugs, with common methodological choices and innovations observed among them. Over the evaluated time period, we observed common methods and assumptions that are becoming more prominent in the RA CU modeling landscape, including patient-level simulations, two-stage models combining trial results and real-world evidence, real-world treatment durations, long-term health consequences, and Health Assessment Questionnaire (HAQ)-related hospitalization costs. Models that consider the societal perspective are increasingly being developed as well.Limitations: This review did not consider studies that did not report QALYs as a utility measure, models published only as conference abstracts, or cost-consequence models that did not report an incremental CU ratio.Conclusions: CU modeling for RA increasingly reflects real-world conditions and patient experiences which are anticipated to provide better information in the assessment of health technologies. Future CU models in RA should consider applying the observed advances in modeling choices to optimize their CU predictions and simulation of real-world outcomes.

Systematic Literature Review of Economic Evaluations of Biological Treatment Sequences for Patients with Moderate to Severe Rheumatoid Arthritis Previously Treated with Disease-Modifying Anti-rheumatic Drugs

OBJECTIVE

This systematic literature review (SLR) had two objectives: to analyse published economic evaluations of biological disease-modifying anti-rheumatic drugs (bDMARDs) for patients with moderate to severe rheumatoid arthritis (RA) previously treated with DMARDs and to assess the quality of those that included sequences of treatments.

METHODS

We performed an SLR on PubMed, Central, Cochrane, and French databases from January 2000 to December 2018. The search focused on cost-effectiveness/utility/benefit analyses. We extracted data on treatment sequences, outcomes (e.g. quality-adjusted life year) and choices of economic evaluation methods (e.g. model type, type of analysis, and method of utility estimation). We analysed the improvement of methods by comparing two sub-periods (2000-2009 and 2010-2018). The quality of reporting and the quality of the methods were assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) and a set of eight key aspects for a reference case for economic evaluation of bDMARDs based on the Outcome Measures in Rheumatology (OMERACT) and Drummond checklists. Data extraction and study assessment were performed independently by two health economists.

RESULTS

From the 824 records identified in the initial search, 51 publications were selected. Of these, 31 included sequences. Individual models such as discrete-event simulations were used in over two-fifths (22/51, 43%) of the selected studies. Few studies (7/51, 14%) used utility scores based on generic instruments (e.g. EQ-5D). Estimation of hospitalization costs was described in only approximately one-third of studies (19/51). Loss of quality of life (QoL) related to adverse events such as tuberculosis and pneumonia was included in one-tenth (5/51, 10%) of the studies. It was difficult to compare the results of the economic evaluations (i.e. incremental cost-effectiveness ratios) due to the high heterogeneity of studies in terms of disease stage, data sources, inputs, and methods of health outcome assessment used. For identified studies including sequences, the CHEERS assessment of reporting quality showed insufficient reporting of uncertainty analyses and utility weights in more than a third of the studies (11/31, 35%; 9/25, 36%). An in-depth assessment of the quality of the studies revealed that only seven, mostly conducted during the sub-period 2010-2018, addressed the majority of methodological quality assessment issues such as the simulation of patient sequence pathways, the use of systematic reviews and meta-analyses of comparative effectiveness, the choice of treatment sequence, and rules for switching.

CONCLUSION

Our SLR identified a lack of high-quality evaluations assessing bDMARD sequences, although some improvements were made in the reporting and modelling of patients' pathways in studies published after 2010. In order to improve economic evaluations of RA, clear health technology assessment guidance on RA health-related QoL instruments must be provided, and data including long-term disease progression must be made available.

Overexpression of miR-101 May Target DUSP1 to Promote the Cartilage Degradation in Rheumatoid Arthritis

This study aimed to explore crucial genes that contribute to the development of rheumatoid arthritis (RA). Three GSE77298, GSE55457, and GSE55235 data sets were used to analyze the differentially expressed genes (DEGs) between RA synovial membrane tissue samples and normal synovial membrane tissue samples. Then, the functional enrichment analysis and protein-protein interactions (PPIs) construction were performed for DEGs. Subsequently, submodule analysis and regulatory network that contained transcription factors (TFs), microRNAs, and their targets were conducted. Finally, small-molecule drugs related to the DEGs were predicted. A total of 173 upregulated and 54 downregulated DEGs identified in at least 2 of 3 data sets. TYROBP, CTSS, MMP9, CXCR4, and CXCL10 were both highlighted in the PPI and submodule networks. In addition, miR-101, IRF1 TF, DUSP1, and CXCR4 had high degree in the regulatory network, and regulation pairs of miR-101-DUSP1 and IRF1 TF-CXCR4 were obtained. Drugs such as alemtuzumab and marimastat were negatively related to expression of the DEGs and might be useful drugs for RA treatment. In addition, most DEGs were involved in innate immune response (e.g., TYROBP, CCL5, CXCL10, FCGR1A, and FCGR3B) and phagosome pathway (e.g., CTSS). We suggested that miR-101 that regulated DUSP1, IRF1 TF that regulated CXCR4, as well as DEGs as TYROBP and CTSS might contribute to the RA pathogenesis. In addition, anti-inflammatory agent alemtuzumab and matrix metalloproteinase inhibitor marimastat might be useful drugs for RA treatment through functioning on their target genes.