决定异体 CAR T 细胞排斥与扩增的细胞和分子机制
Cellular and molecular mechanisms determining allogeneic CAR T cell rejection and expansion.
我们评估了11例接受单一批次cemacabtagene ansegedleucel(cema-cel)治疗的大B细胞淋巴瘤患者,cemacabtagene ansegedleucel是一种异体抗CD19 CAR T产品。
英文原题:Willingness to Pay for Treatment Attributes in Diffuse Large B-Cell Lymphoma: A Discrete Choice Experiment in Japan.
Willingness to Pay for Treatment Attributes in Diffuse Large B-Cell Lymphoma: A Discrete Choice Experiment in Japan.
我们的研究结果表明,日本血液科医生在治疗决策中具有成本意识。尽管改善OS仍是最受重视的结局,但缩短住院时间与可观的WTP相关,凸显了后勤和经济因素的重要性。预后的严重程度使医生的优先考虑转向短期生存和快速获得治疗,并对不良事件风险有更高的容忍度。未来研究应探索这些医生偏好如何与患者视角相一致。
复发/难治性弥漫大B细胞淋巴瘤(R/R DLBCL)的治疗决策日益复杂,尤其是随着嵌合抗原受体(CAR)T细胞疗法等新型高成本疗法的出现。了解医生如何权衡各种临床和非临床治疗属性,对于使医疗决策与临床价值和经济可持续性相一致至关重要。本研究旨在通过在选择实验中引出针对R/R DLBCL特定治疗特征的权衡取舍,量化日本医生对健康结局和患者体验结局的偏好。
我们开展了一项离散选择实验(DCE),对象为日本血液科医师和肿瘤科医师。参与者完成了一项在线最佳-最差标度法三选项离散选择实验,该实验呈现了一系列DLBCL的假设治疗结局。DCE包括两个患者情景:患者Q,70岁男性,既往接受过两线治疗,东部肿瘤协作组(ECOG)体能状态为1;患者R,58岁女性,既往接受过三线治疗,ECOG体能状态为2。预设属性包括:12个月和24个月的总生存(OS)率、6个月时ECOG状态变化、CAR-T相关副作用(重度细胞因子释放综合征(CRS)风险和重度神经系统事件风险)、住院时间、至治疗开始的时间以及总治疗费用。采用条件logit模型计算各属性对选择首选治疗推荐影响的比值比(OR)。将OR转换为对健康结局、不良事件风险变化以及等待时间/住院时间的支付意愿(WTP)估计值。
共有231名日本血液科医生和肿瘤科医生参与,每位医生针对两个患者病例做出六项治疗决策。在两个病例中,12个月和24个月总生存期(OS)、住院时间、等待时间和治疗费用均显著影响偏好。对于患者Q,CRS风险降低具有显著影响,而对于患者R,ECOG改善具有影响力。对于24个月OS每增加1%,患者Q的支付意愿(WTP)约为140万日元(约9520美元),患者R约为180万日元(约12240美元);12个月OS的相应估计值略低。住院时间每减少1周的价值为110万-190万日元(7480-12920美元),等待时间每减少1周的价值为60万-150万日元(4080-10200美元)。总体而言,医生对较年轻、病情较重的患者更强烈地优先考虑长期生存,而对较年长患者的偏好则更为均衡。临床改善(ECOG)对较年轻患者权重更大,而安全性顾虑在较年长病例中更为突出。
BACKGROUND AND OBJECTIVES: Treatment decision-making in relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) is increasingly complex, especially with the emergence of novel, high-cost therapies such as chimeric antigen receptor (CAR) T-cell therapy. Understanding how physicians weigh various clinical and nonclinical treatment attributes is essential for aligning healthcare decisions with both clinical value and economic sustainability. This study aims to quantify Japanese physicians' preferences in health outcomes and patient experience outcomes through eliciting trade-offs in a choice experiment for specific treatment characteristics in R/R DLBCL. METHODS: We performed a discrete choice experiment (DCE) with Japanese hematologists and oncologists. Participants completed an online best-worst scaling three alternative discrete choice experiment featuring a series of hypothetical treatment outcomes for DLBCL. The DCE included two patient vignettes: patient Q, a 70-year-old male with two prior treatment lines and Eastern Cooperative Oncology Group (ECOG) performance status 1; and patient R, a 58-year-old female with three prior treatment lines and ECOG performance status 2. Predefined attributes included: overall survival (OS) rates at 12 and 24 months, change in ECOG status at 6 months, CAR-T related side effects (risk of severe cytokine release syndrome (CRS), and risk of severe neurological events), duration of hospitalization, time until treatment initiation, and total treatment cost. A conditional logit model was used to calculate odds ratios (OR) for each attribute's influence on selecting the preferred treatment recommendation. ORs were translated into willingness-to-pay (WTP) estimates for the health outcomes, changes in adverse event risks and waiting time/hospitalization duration. RESULTS: A total of 231 Japanese hematologists and oncologists participated, each making six treatment decisions for two patient vignettes. Across both profiles, 12- and 24-month overall survival (OS), hospitalization duration, waiting time, and treatment cost significantly influenced preferences. For patient Q, reduced CRS risk was significant, while for patient R, ECOG improvement was influential. Willingness to pay (WTP) for a 1% increase in 24-month OS was approximately JPY 1.4 million (~USD 9520) for patient Q and JPY 1.8 million (~USD 12,240) for patient R; corresponding estimates for 12-month OS were slightly lower. A 1-week reduction in hospital stay was valued at JPY 1.1-1.9 million (USD 7480-12,920), and a 1-week reduction in waiting time at JPY 600,000-1.5 million (USD 4080-10,200). Overall, physicians prioritized long-term survival more strongly for the younger, more severe patient, whereas preferences were more balanced for the older patient. Clinical improvement (ECOG) weighed more heavily for the younger patient, while safety concerns were more salient in the older case. CONCLUSIONS: Our findings suggest that Japanese hematologists are cost-aware in their treatment decision-making. While improved OS remains the most valued outcome, reducing hospital length of stay is associated with substantial WTP, highlighting the importance of logistical and economic factors. The severity of prognosis shifted physician priorities to short-term survival and rapid access to care with more tolerance of adverse event risks. Future research should explore how these physician preferences align with patient perspectives.
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