Economic Burden of Neurologic Toxicities Associated with Treatment of Patients with Relapsed or Refractory Diffuse Large B-Cell Lymphoma in the United States.

IF 1.4 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES American Health and Drug Benefits Pub Date : 2020-10-01
Michael S Broder, Qiufei Ma, Tingjian Yan, Jie Zhang, Eunice Chang, David Kuzan, Lamis Eldjerou
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Abstract

Background: Chimeric antigen receptor (CAR) T-cell therapy, which is approved for the treatment of relapsed or refractory diffuse large B-cell lymphoma (DLBCL), can be associated with potentially severe and costly neurologic adverse events (AEs).

Objectives: To develop an evidence-based list of treatment-related neurologic AEs in patients with relapsed or refractory DLBCL, including AEs related to CAR T-cell therapies, and to estimate the healthcare costs associated with these neurologic AEs in a real-world setting.

Methods: We identified grade ≥3 neurologic AEs that occurred in ≥2% of patients by reviewing drug prescribing information and published clinical trials with therapies used for relapsed or refractory DLBCL. Data from 3 nationally representative claims databases were used to identify adults with relapsed or refractory DLBCL, who were eligible for the study if they received 1 of 4 types of therapy, including CAR T-cell therapy, high-intensity cytotoxic therapy, low-intensity cytotoxic therapy, or targeted therapies. The rates of neurologic AEs and total healthcare costs were calculated for patients with and without neurologic AEs within 30 days of treatment. The costs were inflated to 2019 first-quarter US dollars.

Results: A total of 16 types of neurologic AEs were identified, including 13 events related to CAR T-cell therapy and 5 related to conventional immunochemotherapy regimens, with 2 overlapping event types. Of these AEs, 11 were included in the claims analysis, based on available diagnosis codes. Of the 11,098 adults with relapsed or refractory DLBCL in the study, 118 patients received CAR T-cell therapy, 9483 received a high-intensity cytotoxic therapy, 1259 received a low-intensity cytotoxic therapy, and 238 received a targeted therapy. A total of 299 (2.7%) patients had ≥1 neurologic AEs during the 30-day postindex period. Of these patients, 43 received CAR T-cell therapy (36.4% of the 118 CAR T-cell therapy users). The mean total healthcare cost was $71,982 higher for patients with neurologic AEs than for patients without neurologic AEs. The trend of higher costs in patients with neurologic AEs was consistent across the treatment groups and was most pronounced in CAR T-cell therapy users ($143,309; 95% confidence interval, $5838-$280,779).

Conclusion: Patients with relapsed or refractory DLBCL who had severe or life-threatening neurologic AEs incur substantially higher costs than their counterparts who do not have neurologic AEs, with the largest cost difference in patients who receive CAR T-cell therapy.

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美国复发或难治性弥漫性大b细胞淋巴瘤患者治疗相关神经毒性的经济负担
背景:嵌合抗原受体(CAR) t细胞疗法被批准用于治疗复发或难治性弥漫性大b细胞淋巴瘤(DLBCL),可能与潜在的严重和昂贵的神经系统不良事件(ae)相关。目的:制定复发或难治性DLBCL患者治疗相关神经系统不良事件的循证清单,包括与CAR - t细胞治疗相关的神经系统不良事件,并估计现实环境中与这些神经系统不良事件相关的医疗成本。方法:我们通过回顾药物处方信息和已发表的用于复发或难治性DLBCL治疗的临床试验,确定≥2%的患者发生≥3级神经系统不良事件。来自3个具有全国代表性的索赔数据库的数据被用于确定复发或难治性DLBCL的成人,如果他们接受了4种治疗中的1种,包括CAR - t细胞治疗、高强度细胞毒治疗、低强度细胞毒治疗或靶向治疗,则符合研究资格。计算治疗30天内发生和不发生神经系统不良事件的患者的神经系统不良事件发生率和总医疗费用。成本被夸大到2019年第一季度的美元。结果:共鉴定出16种神经系统ae类型,其中与CAR - t细胞治疗相关的事件13种,与常规免疫化疗方案相关的事件5种,有2种重叠事件类型。在这些ae中,根据现有的诊断代码,有11个被纳入索赔分析。在该研究的11098名复发或难治性DLBCL成人患者中,118名患者接受了CAR - t细胞治疗,9483名患者接受了高强度细胞毒治疗,1259名患者接受了低强度细胞毒治疗,238名患者接受了靶向治疗。299例(2.7%)患者在指数后30天内出现≥1次神经系统不良事件。在这些患者中,43人接受了CAR - t细胞治疗(占118名CAR - t细胞治疗患者的36.4%)。神经系统不良事件患者的平均总医疗费用比没有神经系统不良事件的患者高71,982美元。神经系统不良事件患者成本上升的趋势在治疗组中是一致的,在CAR - t细胞治疗患者中最为明显(143,309美元;95%置信区间为5838- 280,779美元)。结论:复发或难治性DLBCL患者发生严重或危及生命的神经系统不良事件,其成本明显高于无神经系统不良事件的患者,其中接受CAR -t细胞治疗的患者成本差异最大。
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来源期刊
American Health and Drug Benefits
American Health and Drug Benefits Medicine-Health Policy
CiteScore
2.90
自引率
0.00%
发文量
4
期刊介绍: AHDB welcomes articles on clinical-, policy-, and business-related topics relevant to the integration of the forces in healthcare that affect the cost and quality of healthcare delivery, improve healthcare quality, and ultimately result in access to care, focusing on health organization structures and processes, health information, health policies, health and behavioral economics, as well as health technologies, products, and patient behaviors relevant to value-based quality of care.
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