表皮生长因子受体 (EGFR) 基因突变的转移性非小细胞肺癌患者在接受表皮生长因子受体酪氨酸激酶抑制剂和铂类化疗方案治疗后的治疗模式和与不良事件相关的住院情况。

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2023-12-01 Epub Date: 2023-09-02 DOI:10.1007/s40801-023-00383-1
Elizabeth Marrett, Winghan Jacqueline Kwong, Jipan Xie, Ameur M Manceur, Selvam R Sendhil, Eric Wu, Raluca Ionescu-Ittu, Janakiraman Subramanian
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引用次数: 0

摘要

背景:表皮生长因子受体-酪氨酸激酶抑制剂(表皮生长因子受体TKIs)是携带表皮生长因子受体致敏突变的转移性非小细胞肺癌患者的公认一线治疗药物。在表皮生长因子受体激酶抑制剂耐药后,很少有数据支持后续治疗的标准:我们旨在描述真实世界的治疗模式以及与后续治疗中住院相关的不良事件:这项行政索赔回顾性分析纳入了在 2015 年 11 月 1 日/之后停止 EGFR TKI 和铂类化疗后开始下一治疗线(指数治疗线)的转移性非小细胞肺癌成人患者。结果:在195名符合条件的患者(中位年龄:59岁;女性:60%)中,最常见的五种指标线治疗方案分别为免疫检查点抑制剂单药治疗(29%)、表皮生长因子受体TKI单药治疗(21%)、铂类化疗(19%)、非铂类化疗(13%)和表皮生长因子受体TKI联合治疗(9%)。停用指标疗法的总体中位时间(95% 置信区间)为 2.8(2.1-3.2)个月。与住院相关的常见不良事件包括感染/败血症、肺炎/气囊炎和贫血(分别为每100人月2.9例、2.8例和2.0例):结论:在停止铂类化疗的表皮生长因子受体TKI耐药患者中,下一疗程的持续时间较短,治疗的可变性较高,使用表皮生长因子受体TKIs和铂类方案进行再治疗的情况很普遍,这表明后一疗程的治疗缺乏标准。与住院相关的不良事件发生率很高,尤其是在接受铂类治疗的患者中。这些结果凸显了后期治疗中对新疗法的需求尚未得到满足,而新疗法可减轻这类患者的临床负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Treatment Patterns and Adverse Event-Related Hospitalization Among Patients with Epidermal Growth Factor Receptor (EGFR)-Mutated Metastatic Non-small Cell Lung Cancer After Treatment with EGFR Tyrosine Kinase Inhibitor and Platinum-Based Chemotherapy Regimens.

Background: Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR TKIs) are established first-line treatments among patients with metastatic non-small cell lung cancer harboring EGFR-sensitizing mutations. Upon EGFR TKI resistance, there are scant data supporting a standard of care in subsequent lines of therapy.

Objective: We aimed to characterize real-world treatment patterns and adverse events associated with hospitalization in later lines of therapy.

Methods: This retrospective analysis of administrative claims included adults with metastatic non-small cell lung cancer who initiated a next line of therapy (index line of therapy) following EGFR TKI and platinum-based chemotherapy discontinuation on/after 1 November, 2015. Treatment regimens and adverse event rates during the index line of therapy were described.

Results: Among 195 eligible patients (median age: 59 years; female: 60%), the five most common index line of therapy regimens were immune checkpoint inhibitor monotherapy (29%), EGFR TKI monotherapy (21%), platinum-based chemotherapy (19%), non-platinum-chemotherapy (13%), and EGFR TKI combinations (9%). The overall median (95% confidence interval) time to discontinuation of the index line of therapy was 2.8 (2.1-3.2) months. Common adverse events associated with hospitalizations included infection/sepsis, pneumonia/pneumonitis, and anemia (2.9, 2.8, and 2.0 per 100 person-months, respectively).

Conclusions: Among EGFR TKI-resistant patients who discontinued platinum-based chemotherapy, the duration of the next line of therapy was short, treatment was highly variable, and re-treatment with EGFR TKIs and platinum-based regimens was common, suggesting a lack of standard of care in later lines. Adverse event rates associated with hospitalization were high, especially among platinum-treated patients. These results underscore the unmet need for new therapies in a later line of treatment to reduce the clinical burden among patients in this population.

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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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