纳西他单抗在复旦大学儿童医院扩大准入治疗复发/难治性高危神经母细胞瘤中的不良反应报告

IF 1.9 Q3 PHARMACOLOGY & PHARMACY Drugs - Real World Outcomes Pub Date : 2024-12-20 DOI:10.1007/s40801-024-00468-5
Xiaowen Qian, Dufei Zhang, Kai Li, Weiming Chen, Peijun Zhuang, Hongsheng Wang, Zhixian Lei, Yan Li, James Eldridge, Kuiran Dong, Xiaowen Zhai
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引用次数: 0

摘要

背景:人源化抗双胞脂苷-2单克隆抗体纳西他单抗于2020年在美国被批准用于治疗复发/难治性高危神经母细胞瘤患者,局限于骨或骨髓,联合粒细胞-巨噬细胞集落刺激因子。2021年8月,中国上海复旦大学儿童医院的医生启动了扩大可及性的纳西他抗治疗。目的:我们回顾了从2021年8月1日至2022年7月31日在中国扩大可及范围内接受纳西他抗治疗的患者在y - mab Argus全球药物警戒安全数据库中报告的所有疑似不良反应(ARs)。方法:我们评估了患者的人口统计学特征和纳西他单抗在多个治疗周期中的安全性。结果:在数据截止时,41例复发/难治性高危神经母细胞瘤患者共接受了150个治疗周期(451次输注)的纳西他单抗。完成周期的中位数为3个;13例患者(32%)正在接受纳西他单抗治疗。患者中位年龄为3岁(范围1-9岁),63%为女性。总体而言,89/150个周期(59%)报告了ARs;严重急性鼻炎发生率为23/150个周期(15%)。与12个月相比,3个月后的累积报告率(ARs/周期)下降:所有ar(8.7-4.6)、严重ar(0.9-0.3)、低血压(1.4-1.0)、潮红(0.7-0.5)、咳嗽(0.6-0.3)、疼痛(0.5-0.2)和缺氧(0.3-0.2)。结论:在中国扩大可及性治疗的前12个月,41名患者接受了纳西他单抗治疗,累计输注451次。在这一扩大准入计划的过程中,随着越来越多的患者开始并进入后期治疗周期,观察到包括严重急性呼吸道感染在内的急性呼吸道感染发生率降低。虽然还需要进一步的研究,但观察到的AR率下降可能归因于临床医生对AR管理知识的增加和纳西他单抗治疗患者的实践经验。
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Adverse Reaction Reporting for Naxitamab in Chinese Expanded Access Treatment for Relapsed/Refractory High-Risk Neuroblastoma at the Children's Hospital of Fudan University.

Background: The humanized anti-disialoganglioside-2 monoclonal antibody naxitamab was approved in the USA in 2020 for the treatment of patients with relapsed/refractory high-risk neuroblastoma, limited to the bone or bone marrow, in combination with granulocyte-macrophage colony-stimulating factor. Treatment with naxitamab under expanded access was initiated by physicians from the Children's Hospital of Fudan University, Shanghai, China, in August 2021.

Objective: We reviewed all suspected adverse reactions (ARs) reported to the Y-mAbs Argus Global Pharmacovigilance Safety Database for patients treated with naxitamab under expanded access in China from 1 August 2021 to 31 July 2022.

Methods: We assessed patient demographics and the safety profile of naxitamab over multiple treatment cycles.

Results: At the data cutoff, 41 patients with relapsed/refractory high-risk neuroblastoma had received a total of 150 treatment cycles (451 infusions) of naxitamab. The median number of cycles completed was three; 13 patients (32%) were receiving ongoing naxitamab treatment. The median patient age was 3 years (range 1-9 years) and 63% were female. Overall, ARs were reported in 89/150 cycles (59%); serious ARs were reported in 23/150 cycles (15%). The cumulative reporting rate (ARs/cycle) decreased after 3 versus 12 months of expanded access: all ARs (8.7-4.6), serious ARs (0.9-0.3), hypotension (1.4-1.0), flushing (0.7-0.5), cough (0.6-0.3), pain (0.5-0.2), and hypoxia (0.3-0.2).

Conclusions: During the first 12 months of expanded access treatment in China, 41 patients received naxitamab therapy with a cumulative 451 infusions administered. Over the course of this expanded access program, a reduction in the AR rate, including serious ARs, was observed as more patients were initiated and proceeded to later treatment cycles. While additional research is needed, the observed decrease in the AR rate may be attributed to clinicians' increased knowledge of AR management and hands-on experience with naxitamab-treated patients.

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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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