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Journal of Chinese Pharmaceutical Sciences ›› 2023, Vol. 32 ›› Issue (10): 842-851.DOI: 10.5246/jcps.2023.10.068

• Drug administration and clinical pharmacy column • Previous Articles     Next Articles

Cost-utility of siltuximab injection for idiopathic multicentric Castleman disease (iMCD) in China

Jun Ma1, Liangyu Ni2, Qiyun Zhu3, Zhao Yang4,*(), Bin Jiang5,*()   

  1. 1 Peking University Third Hospital, Beijing 100191, China
    2 Peking University Health Science Center, Beijing 100191, China
    3 University of California San Diego, San Diego 92093, USA
    4 Peking University First Hospital, Beijing 100034, China
    5 Department of Administrative and Clinical Pharmacy, Peking University School of Pharmaceutical Sciences, Beijing 100191, China
  • Received:2023-05-12 Revised:2023-06-01 Accepted:2023-06-14 Online:2023-11-04 Published:2023-11-04
  • Contact: Zhao Yang, Bin Jiang

Abstract:

Siltuximab is an innovative drug used to treat idiopathic multicentric Castleman disease (iMCD), a rare condition. Clinical trials have demonstrated its efficacy and safety. However, there is limited research on the economic evaluation of siltuximab. Therefore, using a partition survival model, we aimed to evaluate the average treatment cost and health outcomes for Chinese patients with iMCD in the siltuximab group compared to the placebo group based on existing clinical and published data. We also conducted price threshold analysis, incremental cost-utility analysis, and sensitivity analysis. The results revealed that compared to the placebo group, the siltuximab group showed an increase of 6.31 life-years (LYs) and 5.09 quality-adjusted life-years (QALYs). At a willingness-to-pay (WTP) threshold of 242 928 yuan/QALY, the maximum price threshold for siltuximab compared to the placebo group was 8921.47 yuan per bottle (400 mg). Therefore, as a first-line treatment for iMCD, siltuximab demonstrated superior health outcomes compared to placebo.

Key words: Siltuximab, Idiopathic multicentric Castleman disease, Cost-utility, Partitioned survival model

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