Literature DB >> 31491729

Myocarditis following the use of different immune checkpoint inhibitor regimens: A real-world analysis of post-marketing surveillance data.

Qianqian Fan1, Yang Hu1, Changqing Yang2, Bin Zhao3.   

Abstract

BACKGROUNDS: Although myocarditis has been reported in patients treated with immune checkpoint inhibitors (ICIs), there are few real-world studies to compare the occurrences and characteristics of myocarditis after different ICI regimens.
METHODS: Disproportionality analysis and Bayesian analysis were utilized for data mining of the suspected adverse events of myocarditis after ICIs use based on the Food and Drug Administration's Adverse Event Reporting System (FAERS) from January 2004 to June 2018. The times to onset and fatality rates of myocarditis following different ICI regimens were also compared.
RESULTS: A total of 315 reports of myocarditis adverse events were identified with ICIs. Among 6 ICI monotherapies, avelumab had the highest association with myocarditis based on the highest reporting odds ratio (ROR = 42.65, 95% two-sided CI = 15.86-114.72), proportional reporting ratio (PRR = 42.61, χ2 = 159.63) and empirical Bayes geometric mean (EBGM = 41.87, 95% one-sided CI = 15.57). The combination therapies of ipilimumab plus pembrolizumab or nivolumab had higher RORs, PRRs and EBGMs than did pembrolizumab or nivolumab monotherapy. Myocarditis associated with the ipilimumab plus nivolumab treatment appeared to have earlier onset (16.5 [IQR 14-29.75] days vs 32 [IQR 16-77] days, p<0.01) and higher fatality rate (65.75% vs 50.40%, p<0.05) than that associated with nivolumab monotherapy.
CONCLUSIONS: Analysis of FAERS data provides more precise profile on the occurrences and characteristics of myocarditis after different ICI regimens. The findings support continued surveillance, risk factor identification, and comparative studies.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adverse drug events; Data mining; Immune checkpoint inhibitors; Myocarditis; Spontaneous reporting system

Mesh:

Substances:

Year:  2019        PMID: 31491729     DOI: 10.1016/j.intimp.2019.105866

Source DB:  PubMed          Journal:  Int Immunopharmacol        ISSN: 1567-5769            Impact factor:   4.932


  8 in total

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