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德国复发/难治性弥漫大 B 细胞淋巴瘤成人患者 CAR-T 细胞治疗的预算影响分析

英文原题:Budget Impact Analysis of CAR T-cell Therapy for Adult Patients With Relapsed or Refractory Diffuse Large B-cell Lymphoma in Germany.

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Budget Impact Analysis of CAR T-cell Therapy for Adult Patients With Relapsed or Refractory Diffuse Large B-cell Lymphoma in Germany.

PubMed 2022/07/04(内容时间) Hemasphere Q1 · IF 11.3(JCR 2025)

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中文摘要

本研究旨在从德国第三方支付方角度,评估嵌合抗原受体(CAR)T细胞疗法(axicabtagene ciloleucel、tisagenlecleucel)与标准治疗相比,用于复发/难治性弥漫大B细胞淋巴瘤(r/r DLBCL)成人患者的增量成本。建立为期6年的预算影响模型。三线治疗人群估算采用基于同行评审文献结局数据的分区生存模型、基于人口预测和年龄标准化发病率的自上而下方法。成本数据来源于一家三级医院的成本控制部门以及一项德国疾病成本研究。情景分析计算二线DLBCL患者治疗的预算影响。通过单因素确定性敏感性分析检验模型稳健性。估计2021–2026年三线r/r DLBCL成人患者数量:最低人口估计为788–867例,最高为1068–1177例。预算影响从第0年的39,419,562欧元(最低)和53,426,514欧元(最高),增至第5年的122,104,097欧元和165,763,001欧元。情景分析显示,二线治疗的预算影响在第0年为65,987,823欧元(最低)和89,558,611欧元(最高),第5年为204,485,031欧元和277,567,601欧元。这项预算影响分析显示,CAR-T 治疗少数需要个体化照护患者会带来显著但合理的经济负担。

此外,本研究揭示个体化医疗成本分析在数据获取方面的挑战和未来需求。要开展全面经济讨论,还需补充成本效果分析,以确定创新疗法对r/r DLBCL的价值。

展开英文摘要原文

The aim was to assess the incremental costs of chimeric antigen receptor (CAR) T-cell therapy (axicabtagene ciloleucel, tisagenlecleucel) compared with standard of care in adult patients with relapsed or refractory diffuse large B-cell lymphoma (r/r DLBCL) from the German third-party payer perspective. A budget impact model was established over a 6-year period. Estimation of the third-line population: partitioned survival model based on outcome data from peer-reviewed literature, a top-down approach based on population forecasts, and age-standardized incidences. Cost data were derived from the controlling department of a tertiary hospital and a German cost-of-illness study. In the scenario analysis, the budget impact of treating second-line DLBCL patients was calculated.

One-way deterministic sensitivity analyses were conducted to test the robustness of the model. For the period 2021-2026, 788-867 (minimum population, min) and 1,068-1,177 (maximum population, max) adult third-line r/r DLBCL patients were estimated. The budget impact ranged from 39,419,562; 53,426,514 (min; max) in year 0 to 122,104,097; 165,763,001 (min; max) in year 5.

The scenario analysis resulted in a budget impact of 65,987,823; 89,558,611 (min; max) and 204,485,031; 277,567,601 (min; max) for years 0 and 5, respectively. This budget impact analysis showed a significant but reasonable financial burden associated with CAR T-cell therapy for a limited number of patients requiring individualized care.

Further, this study presents challenges and future needs in data acquisition associated with cost analysis in personalized medicine. For comprehensive economic discussions, complementary cost-effectiveness analyses are required to determine the value of innovative therapies for r/r DLBCL.

论文信息

作者
Skalt D、Moertl B、von Bergwelt-Baildon M、Schmidt C、Schoel W、Bücklein V、Weiglein T、Dreyling M
单位
Institute for Medical Information Processing, Biometry, and Epidemiology-IBE, Ludwig-Maximilian University, Munich, Germany.Germany
期刊
HemaSphere2022 Jul
原文标识
PubMed 35813101 · DOI 10.1097/HS9.0000000000000736