A real-world study to evaluate the safety and efficacy of three injectable neurokinin-1 receptor antagonist formulations for the prevention of chemotherapy-induced nausea and vomiting in cancer patients

George Dranitsaris,Mehdi Moezi, Kate Dobson, Robert Phelan,Sibel Blau

Supportive Care in Cancer(2022)

引用 3|浏览14
暂无评分
摘要
Background Three different injectable neurokinin-1 (NK-1) receptor antagonist formulations (CINVANTI® [C] vs. intravenous Emend® [E] vs. generic formulations of fosaprepitant [GFF]) were compared with respect to nausea and vomiting control, use of rescue therapy, and the development of infusion reactions over multiple cycles of chemotherapy. Methods A retrospective analysis from 17 community oncology practices across the USA was conducted on patients who received moderately or highly emetogenic chemotherapy. The co-primary endpoints were the control of chemotherapy-induced nausea and vomiting (CINV) from days 1 to 5 over all cycles and the frequency of infusion-related reactions. Propensity score weighted multivariable logistic regression analysis was used to compare complete CINV control, the use of rescue therapy, and the risk of infusion reactions between groups. Results The study enrolled 294 patients (C = 101, E = 101, GFF = 92) who received 1432 cycles of chemotherapy. Using CINVANTI® as the reference group, comparative effectiveness was suggested in CINV control over all chemotherapy cycles (odds ratio (OR): E vs. C = 1.00 [0.54 to 1.86] and GFF vs. C = 1.12 [0.54 to 2.32]). However, use of rescue therapy was significantly higher in the EMEND® group relative to CINVANTI® (OR = 2.69; 95%CI: 1.06 to 6.84). Infusion reactions were also numerically higher in the EMEND® group, but the difference did not reach statistical significance (OR = 4.35; 95%CI: 0.83 to 22.8). Conclusions In this real-world analysis, patients receiving CINVANTI® had a reduced need for CINV rescue therapy and a numerically lower incidence of infusion reactions.
更多
查看译文
关键词
Fosaprepitant,Nausea,Vomiting,Chemotherapy,Infusion reactions
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要