Literature DB >> 32884275

Comparison of Adverse Event Profiles of Tumor Necrosis Factor-Alfa Inhibitors: Analysis of a Spontaneous Reporting Database.

Tomohito Wakabayashi1, Keiko Hosohata1, Saki Oyama1, Ayaka Inada1, Sayaka Ueno1, Hiroko Kambara1, Tatsuya Iida1, Takahiro Nakatsuji1, Mayako Uchida1, Kazunori Iwanaga1.   

Abstract

INTRODUCTION: Concerns over safety profiles of tumor necrosis factor (TNF)-alfa inhibitors have been raised. The purpose of this study was to clarify the adverse events associated with TNF-alfa inhibitors using a spontaneous reporting system database.
MATERIALS AND METHODS: A retrospective pharmacovigilance disproportionality analysis was conducted using the Japanese Adverse Drug Event Report (JADER) database. Adverse event reports submitted to the Pharmaceuticals and Medical Devices Agency between 2004 and 2017 were analyzed, and the reporting odds ratio (ROR) and 95% confidence interval (CI) for each adverse event were calculated.
RESULTS: Among the 34,031 reports of adverse events associated with TNF-alfa inhibitors, 65.8% were women, who were frequently in their 60s (28.2%). Signals were detected for pneumonia (ROR, 5.36; 95% CI, 5.14-5.6), interstitial lung disease (ROR, 2.04; 95% CI, 1.95-2.15), pneumocystis jirovecii pneumonia (ROR, 11.8; 95% CI, 11.1-12.5), and herpes zoster (ROR, 6.4; 95% CI, 5.92-6.91) for TNF-alfa inhibitors as a class. There was variability in their signal strength across individual TNF-alfa inhibitors.
CONCLUSION: The strength of the associations of TNF-alfa inhibitors with adverse events is variable, and further studies are required to evaluate the identified signals.
© 2020 Wakabayashi et al.

Entities:  

Keywords:  Japanese Adverse Drug Event Report database; TNF-alfa inhibitors; adverse drug events; reporting odds ratio; spontaneous reporting system

Year:  2020        PMID: 32884275      PMCID: PMC7439489          DOI: 10.2147/TCRM.S246328

Source DB:  PubMed          Journal:  Ther Clin Risk Manag        ISSN: 1176-6336            Impact factor:   2.423


  32 in total

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10.  Data-Driven Identification of Adverse Event Reporting Patterns for Japan in VigiBase, the WHO Global Database of Individual Case Safety Reports.

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