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Efgartigimod alfa in the treatment of generalized myasthenia gravis: a rapid health technology assessment

Published on Nov. 07, 2024Total Views: 206 times Total Downloads: 43 times Download Mobile

Author: HUANG Gerile 1, 2 LI Yujie 1, 3 ZHANG Wenjing 1 GUO Hao 1

Affiliation: 1. Department of Pharmacy, Inner Mongolia Autonomous Region People's Hospital, Huhhot 010017, China 2. School of Pharmacy, Inner Mongolia Medical University, Huhhot 010059, China 3. School of Pharmacy, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014040, Inner Mongolia Autonomous Region, China

Keywords: Efgartigimod alfa Myasthenia gravis Rapid health technology assessment Efficaey Safety Economy

DOI: 10.12173/j.issn.1005-0698.202408007

Reference: HUANG Gerile, LI Yujie, ZHANG Wenjing, GUO Hao.Efgartigimod alfa in the treatment of generalized myasthenia gravis: a rapid health technology assessment[J].Yaowu Liuxingbingxue Zazhi,2024, 33(10):1156-1163.DOI:10.12173/j.issn.1005-0698.202408007.[Article in Chinese]

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Abstract

Objective  To evaluate the efficacy, safety and economy of efgartigimod alfa in the treatment of generalized myasthenia gravis by rapid health technology assessment, and to provide evidence-based evidence for clinical rational drug use.

Methods  PubMed, Embase, Web of Science, Cochrane Library, CNKI, VIP, WanFang Data, SinoMed database and relevant databases of health technology assessment institutions were electronically searched to collect health technology assessment reports, systematic reviews/Meta-analysis and pharmacoeconomic literatures of efgartigimod alfa for the treatment of generalized myasthenia gravis from the inception to June 21, 2024. Two researchers screened the literature, extracted data, and evaluated the quality of the literature, summarised the finding and performed  qualitative descriptive analysis.

Results  A total of 6 literature were included, involving 5 systematic reviews/Meta-analysis and one pharmacoeconomic study. In terms of efficacy, efgartigimod alfa demonstrated a significant reduction in MG-ADL, QMGs, and MG-QOLs 15R compared to placebo among generalized myasthenia gravis patients, these differences were statistically significant (P<0.05). However, findings from different studies regarding comparisons with other biologics like batoclimab, ronzanolixizumab, and eculizumab yielded inconsistent conclusions. In terms of safety, the incidence of adverse events in adults generalized myasthenia gravis patients treated with efgartigimod alfa compared with that of the placebo was not statistically significant (P>0.05). However, compared with other biological agents, the conclusions drawn from each study were inconsistent. In terms of economics, efgartigimod alfa did not exhibit cost-effectiveness advantages over traditional therapies.

Conclusion  Efgartigimod alpha showed better efficacy than placebo in the treatment of generalized myasthenia gravis, but there was no definitive conclusion compared with other biological agents. In terms of safety, the incidence of ADE in adult generalized myasthenia gravis patients treated with efgartigimod alpha was not statistically different from that of the placebo group, and no definite conclusion could be drawn when compared with other biological agents. According to U.S. drug economic data, efgartigimod alpha does not have economic advantages over traditional therapies.

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References

1.程璐, 解染, 赵楠, 等. 治疗成人重症肌无力新药zilucoplan的药理作用与临床评价[J]. 中国临床药理学杂志, 2024, 40(9): 1368-1371. [Cheng L, Xie R, Zhao N, et al. Pharmacological effects and clinical evaluation of zilucoplan for generalized myasthenia gravis[J].The Chinese Journal of Clinical Pharmacology, 2024, 40(9): 1368-1371.] DOI: 10.13699/j.cnki.1001-6821.2024.09.027.

2.Punga AR, Maddison P, Heckmann JM, et al. Epidemiology, diagnostics, and biomarkers of autoimmune neuromuscular junction disorders[J]. Lancet Neurol, 2022, 21(2): 176-188. DOI: 10.1016/S1474-4422(21)00297-0.

3.中国免疫学会神经免疫分会. 中国重症肌无力诊断和治疗指南(2020版)[J]. 中国神经免疫学和神经病学杂志, 2021, 28(1): 1-12. DOI: 10.3969/j.issn.1006-2963. 2021.01.001.

4.Alhaidar MK, Abumurad S, Soliven B, et al. Current treatment of myasthenia gravis[J]. Clin Med, 2022, 11(6): 1597. DOI: 10.3390/jcm11061597.

5.Mantegazza R, Antozzi C. When myasthenia gravis is deemed refractory: clinical signposts and treatment strategies[J]. Ther Adv Neurol Disord, 2018, 11: 1756285617749134. DOI: 10.1177/1756285617749134.

6.The U.S. Food and Drug Administration. FDA approves new treatment for myasthenia gravis[EB/OL]. (2021-12-17) [2023-07-20]. https://www.fda.gov/news-events/press-announcements/fda-approves-new-treatment-myasthenia-gravis.

7.国家药品监督管理局. 2023年07月04日药品批准证明文件送达信息发布[EB/OL]. (2023-07-04) [2023-07-13]. https://www.nmpa.gov.cn/zwfw/sdxx/sdxxyp/yppjfb/20230704155106142.html.

8.Hailey D. Toward transparency in health technology assessment:a checklist for HTA reports[J]. Int J Technol Assess Health Care, 2003, 19(1):1-7. DOI: 10.1017/s0266462303000011.

9.张方圆, 沈傲梅, 曾宪涛, 等. 系统评价方法学质量评价工具AMSTAR 2解读[J]. 中国循证心血管医学杂志, 2018, 10(1): 14-18. [Zhang FY, Shen AM, Zeng XT, et  al. An Introduction to AMSTAR 2: a critical appraisal tool for systematic reviews[J]. Chinese Journal of Evidence-Based Cardiovascular Medicine, 2018, 10(1): 14-18.] DOI: 10.3969/j.issn.1674-4055.2018.01.03.

10.邢质聪, 孙福东, 薛青霞, 等. 4种静脉铁剂治疗缺铁性贫血的快速卫生技术评估[J]. 药物流行病学杂志, 2024, 33(9): 1030-1043. [Xing ZC, Sun FD, Xue QX, et al. Four intravenous iron formulations in the treatment of iron deficiencyanemia: a rapid health technology assessment[J]. Chinese Journal of Pharmacoepidemiology, 2024, 33(9): 1030-1043.] DOI: 10.12173/j.issn.1005-0698.202406030.

11.Husereau D, Drummond M, Augustovski F, et al. Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) statement: updated reporting guidance for health economic evaluations[J].  Health Policy Open, 2022, 3: 100063. DOI: 10.1016/j.hpopen.2021.100063.

12.Ma Y, Nie X, Zhu G, et al. The efficacy and safety of different targeted drugs for the treatment of generalized myasthenia gravis: a systematic review and Bayesian network meta-analysis[J]. CNS Drugs, 2024, 38(2): 93-104. DOI: 10.1007/s40263-024-01062-7.

13.Song Z, Zhang J, Meng J, et al. Different monoclonal antibodies in myasthenia gravis: a Bayesian network meta-analysis[J]. Front Pharmacol, 2022, 12: 790834. DOI: 10.3389/fphar.2021.790834.

14.Li J, Wu X, Chu T, et al. The efficacy and safety of FcRn inhibitors in patients with myasthenia gravis: a systematic review and meta-analysis[J]. J Neurol, 2024, 271(5): 2298-2308. DOI: 10.1007/s00415-024-12247-x.

15.Saccà F, Pane C, Espinosa PE, et al. Efficacy of innovative therapies in myasthenia gravis: a systematic review, meta-analysis and network meta-analysis[J]. Eur J Neurol, 2023, 30(12): 3854-3867. DOI: 10.1111/ene.15872.

16.Chen H, Qiu Y, Yin Z, et al. Efficacy and safety of the innovative monoclonal antibodies in adults with generalized myasthenia gravis: a Bayesian network analysis[J]. Front Immunol, 2023, 14: 1280226. DOI: 10.3389/fimmu.2023.1280226.

17.Lien PW, Joshi M, Tice JA, et al. Cost-effectiveness of eculizumab and efgartigimod for the treatment of anti-acetylcholine receptor antibody-positive generalized myasthenia gravis[J]. J Manag Care Spec Pharm, 2024, 30(6): 517-527. DOI: 10.18553/jmcp.2024.30.6.517.

18.Chen R, Zhang N, Gao L, et al. Quantitative evaluation of drug efficacy in the treatment of myasthenia gravis[J]. Expert Opin Investig Drugs, 2021, 30(12): 1231-1240. DOI: 10.1080/13543784.2021.2010704.

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