Analysis on the risk of myasthenia gravis related to immune checkpoint inhibitors based on the US FDA Adverse Event Reporting System

被引:1
|
作者
Kong, Qingli [1 ]
Wang, Hui [2 ]
Ren, Xiaolei [3 ]
Zhuo, Yue [2 ]
Peng, Jing [2 ]
机构
[1] Jining Med Univ, Affiliated Hosp, Phase Clin Trial Lab 1, Jining, Shandong, Peoples R China
[2] Jining Med Univ, Affiliated Hosp, Dept Pharm, Jining, Shandong, Peoples R China
[3] Jining Med Univ, Affiliated Hosp, Med Big Data Ctr, Jining, Shandong, Peoples R China
来源
CANCER MEDICINE | 2023年 / 12卷 / 19期
关键词
adverse drug reaction reporting systems; antineoplastic agents; computer-assisted signal processing; immunotherapy; myasthenia gravis; myasthenic syndrome; CELL LUNG-CANCER; 1ST-LINE TREATMENT; NIVOLUMAB; MELANOMA; APPROVAL; PEMBROLIZUMAB; AUTOIMMUNITY; IPILIMUMAB;
D O I
10.1002/cam4.6559
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: To evaluate the risk of myasthenia gravis (MG) associated with immune checkpoint inhibitors (ICI). Methods: Adverse event (AE) reports related to MG, myasthenic syndrome, and MG crisis for durvalumab, atezolizumab, pembrolizumab, nivolumab, avelumab, and ipilimumab in the US FDA Adverse Event Reporting System (FAERS) from Q1 2004 to Q3 2022 were collected. The proportional reporting odds ratio (PRR) method was used to evaluate the correlation between the six drugs and the three AEs. Statistical significance was defined as having reports >3, PRR > 2, and chisquare (?(2)) > 4.Results: A total of 36, 78, 276, 380, 5, and 53 AE reports were collected for durvalumab, atezolizumab, pembrolizumab, nivolumab, avelumab, and ipilimumab, respectively. For myasthenic syndrome, the PRR values reflecting the correlation with the drugs were 27.83 (?(2) = 102.66), 26.20 (?(2) = 235.67), 44.17 (?(2)= 1313.98), 32.09 (?(2) = 1229.54), 21.31 (?(2) = 151.15), and 0 for durvalumab, atezolizumab, pembrolizumab, nivolumab, avelumab, and ipilimumab, respectively. For MG, the PRR values reflecting the correlation with the drugs were 24.21 (?(2)= 682.04), 18.34 (?(2) = 900.27), 39.32 (?(2) = 7945.15), 26.93 (?(2) = 6636.45), 14.73 (?(2)= 566.47), and 15.69 (?(2)= 54.77) for durvalumab, atezolizumab, pembrolizumab, nivolumab, avelumab, and ipilimumab, respectively. For MG crisis, there were no data for durvalumab, atezolizumab, avelumab, and ipilimumab; the PRR values reflecting the correlation with the drugs were 16.54 (?(2) = 225.23) and 9.20 (?(2) = 119.14) for pembrolizumab and nivolumab, respectively. All six drugs were statistically correlated with their corresponding AEs.Conclusions: ICI may lead to ICIs-associated MG during therapy. Analysis of FAERS data identified signals for AEs of MG with ICI regimens. Practitioners should consider the factors that may increase the likelihood of MG. The findings support a continued surveillance and risk factor identification.
引用
下载
收藏
页码:19491 / 19499
页数:9
相关论文
共 50 条
  • [1] Rheumatological Immune-Related Adverse Events of Immune Checkpoint Inhibitors Based on the FDA Adverse Event Reporting System
    Rodriguez-Pla, Alicia
    ARTHRITIS & RHEUMATOLOGY, 2021, 73 : 901 - 903
  • [2] Immune-related adverse events associated with immune checkpoint inhibitors: An updated comprehensive disproportionality analysis of the FDA adverse event reporting system
    Chen, Chen
    Wu, Bin
    Zhang, ChenYu
    Xu, Ting
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2021, 95
  • [3] Pharmacovigilance analysis of immune checkpoint inhibitor-related reproductive adverse effects based on the FDA adverse event reporting system
    Bahadır Köylü
    Buğra Han Esen
    Şevval Nur Bektaş
    Laşin Özbek
    Volkan Turan
    Bülent Urman
    Özgür Öktem
    Fatih Selçukbiricik
    Scientific Reports, 15 (1)
  • [4] Sex differences in immune-related adverse events with immune checkpoint inhibitors: data mining of the FDA adverse event reporting system
    Chen Chen
    Chenyu Zhang
    Ziyan Jin
    Bin WU
    Ting XU
    International Journal of Clinical Pharmacy, 2022, 44 : 689 - 697
  • [5] Sex differences in immune-related adverse events with immune checkpoint inhibitors: data mining of the FDA adverse event reporting system
    Chen, Chen
    Zhang, Chenyu
    Jin, Ziyan
    Wu, Bin
    Xu, Ting
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2022, 44 (03) : 689 - 697
  • [6] Immune Checkpoint Inhibitor-Mediated Myocarditis in the US FDA Adverse Event Reporting System
    Rivera, Manuel
    Fernandes, Gilson
    Knijnik, Leonardo
    Olarte, Neal
    Cohen, Mauricio
    CIRCULATION, 2018, 138
  • [7] Cardiac arrhythmias associated with immune checkpoint inhibitors: A comprehensive disproportionality analysis of the FDA adverse event reporting system
    Wang, Feifei
    Wei, Qi
    Wu, Xinan
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [8] Toxicities with Immune Checkpoint Inhibitors: Emerging Priorities From Disproportionality Analysis of the FDA Adverse Event Reporting System
    Emanuel Raschi
    Alessandra Mazzarella
    Ippazio Cosimo Antonazzo
    Nicolò Bendinelli
    Emanuele Forcesi
    Marco Tuccori
    Ugo Moretti
    Elisabetta Poluzzi
    Fabrizio De Ponti
    Targeted Oncology, 2019, 14 : 205 - 221
  • [9] Toxicities with Immune Checkpoint Inhibitors: Emerging Priorities From Disproportionality Analysis of the FDA Adverse Event Reporting System
    Raschi, Emanuel
    Mazzarella, Alessandra
    Antonazzo, Ippazio Cosimo
    Bendinelli, Nicolo
    Forcesi, Emanuele
    Tuccori, Marco
    Moretti, Ugo
    Poluzzi, Elisabetta
    De Ponti, Fabrizio
    TARGETED ONCOLOGY, 2019, 14 (02) : 205 - 221
  • [10] Characterization of Immune Checkpoint Inhibitor-Induced Myasthenia Gravis Using the US Food and Drug Administration Adverse Event Reporting System
    Niimura, Takahiro
    Zamami, Yoshito
    Miyata, Koji
    Mikami, Takahisa
    Asada, Mizuho
    Fukushima, Keijo
    Yoshino, Masaki
    Mitsuboshi, Satoru
    Okada, Naoto
    Hamano, Hirofumi
    Sakurada, Takumi
    Matsuoka-Ando, Rie
    Aizawa, Fuka
    Yagi, Kenta
    Goda, Mitsuhiro
    Chuma, Masayuki
    Koyama, Toshihiro
    Izawa-Ishizawa, Yuki
    Yanagawa, Hiroaki
    Fujino, Hiromichi
    Yamanishi, Yoshihiro
    Ishizawa, Keisuke
    JOURNAL OF CLINICAL PHARMACOLOGY, 2023, 63 (04): : 473 - 479