Cargando…

Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System

Purpose: Secukinumab was approved for the treatment of psoriasis, psoriatic arthritis, and ankylosing spondylitis. However, the long-term safety of secukinumab in large sample population was unknown. The current study was to evaluate the secukinumab-assocaited adverse events (AEs) through data minin...

Descripción completa

Detalles Bibliográficos
Autores principales: Shu, Yamin, Ding, Yufeng, Liu, Yanxin, Wu, Pan, He, Xucheng, Zhang, Qilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214234/
https://www.ncbi.nlm.nih.gov/pubmed/35754494
http://dx.doi.org/10.3389/fphar.2022.862508
_version_ 1784730970594738176
author Shu, Yamin
Ding, Yufeng
Liu, Yanxin
Wu, Pan
He, Xucheng
Zhang, Qilin
author_facet Shu, Yamin
Ding, Yufeng
Liu, Yanxin
Wu, Pan
He, Xucheng
Zhang, Qilin
author_sort Shu, Yamin
collection PubMed
description Purpose: Secukinumab was approved for the treatment of psoriasis, psoriatic arthritis, and ankylosing spondylitis. However, the long-term safety of secukinumab in large sample population was unknown. The current study was to evaluate the secukinumab-assocaited adverse events (AEs) through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: Reports in the FAERS from the first quarter of 2015 (FDA approval of secukinumab) to the third quarter of 2021 were collected and analyzed. Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) algorithms, were employed in data mining to quantify the signals of secukinumab-related AEs. Results: A total of 89,228 reports of secukinumab as the “primary suspected (PS)” and 254,886 AEs induced by secukinumab were identified. Secukinumab-induced AE occurrence targeted 27 system organ classes (SOCs). A total of 257 signals of secukinumab-induced AEs in 19 SOCs were detected after conforming to the four algorithms simultaneously. Common significant signals of infections, respiratory disorders, skin and subcutaneous tissue disorders, immune system disorders, and ear and labyrinth disorders have emerged. Unexpected significant AEs such as injection site pain, vessel puncture site haemorrhage, arthralgia, hypokinesia, Bell’s palsy, parotid gland enlargement, and stress might also occur. The median onset time of secukinumab-associated AEs was 56 days (interquartile range [IQR] 5–214 days), and most of the onsets occurred within the first 1, 2, 3, and 4 months after initiation of secukinumab. Conclusion: Our study found potential new AE signals and provided a broader understanding of secukinumab’s safety profiles, supporting its rational use in chronic systemic inflammatory diseases.
format Online
Article
Text
id pubmed-9214234
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92142342022-06-23 Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System Shu, Yamin Ding, Yufeng Liu, Yanxin Wu, Pan He, Xucheng Zhang, Qilin Front Pharmacol Pharmacology Purpose: Secukinumab was approved for the treatment of psoriasis, psoriatic arthritis, and ankylosing spondylitis. However, the long-term safety of secukinumab in large sample population was unknown. The current study was to evaluate the secukinumab-assocaited adverse events (AEs) through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: Reports in the FAERS from the first quarter of 2015 (FDA approval of secukinumab) to the third quarter of 2021 were collected and analyzed. Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) algorithms, were employed in data mining to quantify the signals of secukinumab-related AEs. Results: A total of 89,228 reports of secukinumab as the “primary suspected (PS)” and 254,886 AEs induced by secukinumab were identified. Secukinumab-induced AE occurrence targeted 27 system organ classes (SOCs). A total of 257 signals of secukinumab-induced AEs in 19 SOCs were detected after conforming to the four algorithms simultaneously. Common significant signals of infections, respiratory disorders, skin and subcutaneous tissue disorders, immune system disorders, and ear and labyrinth disorders have emerged. Unexpected significant AEs such as injection site pain, vessel puncture site haemorrhage, arthralgia, hypokinesia, Bell’s palsy, parotid gland enlargement, and stress might also occur. The median onset time of secukinumab-associated AEs was 56 days (interquartile range [IQR] 5–214 days), and most of the onsets occurred within the first 1, 2, 3, and 4 months after initiation of secukinumab. Conclusion: Our study found potential new AE signals and provided a broader understanding of secukinumab’s safety profiles, supporting its rational use in chronic systemic inflammatory diseases. Frontiers Media S.A. 2022-06-08 /pmc/articles/PMC9214234/ /pubmed/35754494 http://dx.doi.org/10.3389/fphar.2022.862508 Text en Copyright © 2022 Shu, Ding, Liu, Wu, He and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Shu, Yamin
Ding, Yufeng
Liu, Yanxin
Wu, Pan
He, Xucheng
Zhang, Qilin
Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System
title Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System
title_full Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System
title_fullStr Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System
title_full_unstemmed Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System
title_short Post-Marketing Safety Concerns With Secukinumab: A Disproportionality Analysis of the FDA Adverse Event Reporting System
title_sort post-marketing safety concerns with secukinumab: a disproportionality analysis of the fda adverse event reporting system
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214234/
https://www.ncbi.nlm.nih.gov/pubmed/35754494
http://dx.doi.org/10.3389/fphar.2022.862508
work_keys_str_mv AT shuyamin postmarketingsafetyconcernswithsecukinumabadisproportionalityanalysisofthefdaadverseeventreportingsystem
AT dingyufeng postmarketingsafetyconcernswithsecukinumabadisproportionalityanalysisofthefdaadverseeventreportingsystem
AT liuyanxin postmarketingsafetyconcernswithsecukinumabadisproportionalityanalysisofthefdaadverseeventreportingsystem
AT wupan postmarketingsafetyconcernswithsecukinumabadisproportionalityanalysisofthefdaadverseeventreportingsystem
AT hexucheng postmarketingsafetyconcernswithsecukinumabadisproportionalityanalysisofthefdaadverseeventreportingsystem
AT zhangqilin postmarketingsafetyconcernswithsecukinumabadisproportionalityanalysisofthefdaadverseeventreportingsystem