Cost-effectiveness of Anbainuo plus methotrexate compared to conventional disease-modifying antirheumatic drugs for rheumatoid arthritis patients in China

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.

Mapping health assessment questionnaire disability index onto EQ-5D-5L in China

Objective

This research aimed to develop the more accurate mapping algorithms from health assessment questionnaire disability index (HAQ-DI) onto EQ-5D-5L based on Chinese Rheumatoid Arthritis patients.

Methods

The cross-sectional data of Chinese RA patients from 8 tertiary hospitals across four provincial capitals was used for constructing the mapping algorithms. Direct mapping using Ordinary least squares regression (OLS), the general linear regression model (GLM), MM-estimator model (MM), Tobit regression model (Tobit), Beta regression model (Beta) and the adjusted limited dependent variable mixture model (ALDVMM) and response mapping using Multivariate Ordered Probit regression model (MV-Probit) were carried out. HAQ-DI score, age, gender, BMI, DAS28-ESR and PtAAP were included as the explanatory variables. The bootstrap was used for validation of mapping algorithms. The average ranking of mean absolute error (MAE), root mean square error (RMSE), adjusted R ² (adjR ²) and concordance correlation coefficient (CCC) were used to assess the predictive ability of the mapping algorithms.

Results

According to the average ranking of MAE, RMSE, adjR ², and CCC, the mapping algorithm based on Beta performed the best. The mapping algorithm would perform better as the number of variables increasing.

Conclusion

The mapping algorithms provided in this research can help researchers to obtain the health utility values more accurately. Researchers can choose the mapping algorithms under different combinations of variables based on the actual data.

Dehydroevodiamine suppresses inflammatory responses in adjuvant-induced arthritis rats and human fibroblast-like synoviocytes

Dehydroevodiamine (DHE) is an effective natural active substance extracted from Euodiae Fructus, which is a widely used herbal drug in traditional Chinese medicine. The focus of this study was to test the possibility of using DHE in the treatment of rheumatoid arthritis (RA) diseases. A rat model of adjuvant-induced arthritis (AIA) was generated using Complete Freund's Adjuvant (CFA). Body weight changes, arthritis scores, ankle pathology, tumor necrosis factor-alpha (TNF-α), interleukin-1β(IL-1β), interleukin-6 (IL-6), and interleukin-17 (IL-17) secretion, as well as matrix metalloproteinase (MMP) expression in joint tissue, were measured as indicators of viability of DHE medicated AIA rats. Human fibroblast-like synoviocytes (MH7A cells) were connected to check these impacts. The results confirmed that DHE administration had an excellent therapeutic impact on the AIA rat model, substantially relieving joint swelling, inhibiting synovial pannus hyperplasia, and decreasing joint scores. In addition, the serum enzyme-linked immunosorbent assay (ELISA) showed that DHE treatment reduced the expression of pro-inflammatory factors in AIA rats. The immunohistochemical results showed that DHE treatment could reduce the synthesis of MMPs such as matrix metalloproteinase-1(MMP-1) and matrix metalloproteinase-3 (MMP-3) in the ankle tissue of AIA rats. In vitro, DHE inhibited cell proliferation, mRNA transcription, protein synthesis of proinflammatory factors such as IL-1βand IL-6, and matrix metalloproteinases such as MMP-1 and MMP-3. Furthermore, DHE inhibited the phosphorylation levels of p38, JNK, and ERK proteins in TNF-α-treated MH7A cells.This work assessed the effect of DHE in AIA rats and revealed its mechanism in vitro.