Carfilzomib公司
医学
不利影响
内科学
入射(几何)
荟萃分析
随机对照试验
相对风险
置信区间
多发性骨髓瘤
蛋白酶体抑制剂
光学
物理
作者
Adam Waxman,Suparna C. Clasen,Alfred L. Garfall,Joseph R. Carver,Dan T. Vogl,Rupal O’Quinn,Adam D. Cohen,Edward A. Stadtmauer,Bonnie Ky,Brendan M. Weiss
标识
DOI:10.1200/jco.2017.35.15_suppl.8018
摘要
8018 Background: The incidence and nature of cardiovascular adverse events (CVAEs) with carfilzomib (CFZ) in multiple myeloma (MM) remain incompletely defined. We performed the first systematic review and meta-analysis of CFZ CVAEs. Methods: PubMed was queried for the keywords “carfilzomib,” “Kyprolis,” and “PX-171.” Phase 1-3 clinical trials of carfilzomib in MM with evaluable toxicity data were included. CVAEs were defined as heart failure, hypertension, ischemia, and arrhythmia. All-grade and grade ≥3 CVAEs and study characteristics were recorded. Summary incidence rates and relative risks (for randomized trials) with 95% confidence intervals were calculated using the logistic-normal random-effects model. Subgroup analyses were performed using study level covariates. Results: 514 studies were reviewed. 2623 MM patients from 25 eligible studies were included. Incidence rates are summarized in the table. All grade and grade ≥3 CVAEs were seen in 16.8% and 7.6 %, respectively. Phase 2 or 3 studies, carfilzomib doses ≥45mg/m 2 , and longer infusion length were study characteristics associated with high-grade cardiac AEs (p<0.05). Median age >65, prior MM therapies, and concurrent MM therapies were not associated with CVAEs (p>.05). For the three randomized trials, the relative risk of all-grade and grade ≥3 CVAEs were 1.75 and 2.25, respectively (p<0.001). Conclusions: CFZ is associated with a significant incidence of CVAEs, including heart failure, hypertension, ischemia, and arrhythmia. Phase I studies may be underdetecting CVAEs. Future studies are needed to: identify patients at high-risk for CVAEs, develop optimal monitoring strategies, and explore therapies to mitigate these risks. [Table: see text]
科研通智能强力驱动
Strongly Powered by AbleSci AI