Cargando…

Informing selection of drugs for COVID-19 treatment through adverse events analysis

Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and there is an urgent need for safe and effective drugs for COVID-19 treatment. Since developing a new drug is time consuming, many approved or investigational drugs have been repurposed for COVID-19 treatment in clinical trials. Therefore,...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Wenjing, Pan, Bohu, Sakkiah, Sugunadevi, Ji, Zuowei, Yavas, Gokhan, Lu, Yanhui, Komatsu, Takashi E., Lal-Nag, Madhu, Tong, Weida, Patterson, Tucker A., Hong, Huixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263777/
https://www.ncbi.nlm.nih.gov/pubmed/34234253
http://dx.doi.org/10.1038/s41598-021-93500-5
_version_ 1783719445100756992
author Guo, Wenjing
Pan, Bohu
Sakkiah, Sugunadevi
Ji, Zuowei
Yavas, Gokhan
Lu, Yanhui
Komatsu, Takashi E.
Lal-Nag, Madhu
Tong, Weida
Patterson, Tucker A.
Hong, Huixiao
author_facet Guo, Wenjing
Pan, Bohu
Sakkiah, Sugunadevi
Ji, Zuowei
Yavas, Gokhan
Lu, Yanhui
Komatsu, Takashi E.
Lal-Nag, Madhu
Tong, Weida
Patterson, Tucker A.
Hong, Huixiao
author_sort Guo, Wenjing
collection PubMed
description Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and there is an urgent need for safe and effective drugs for COVID-19 treatment. Since developing a new drug is time consuming, many approved or investigational drugs have been repurposed for COVID-19 treatment in clinical trials. Therefore, selection of safe drugs for COVID-19 patients is vital for combating this pandemic. Our goal was to evaluate the safety concerns of drugs by analyzing adverse events reported in post-market surveillance. We collected 296 drugs that have been evaluated in clinical trials for COVID-19 and identified 28,597,464 associated adverse events at the system organ classes (SOCs) level in the FDA adverse events report systems (FAERS). We calculated Z-scores of SOCs that statistically quantify the relative frequency of adverse events of drugs in FAERS to quantitatively measure safety concerns for the drugs. Analyzing the Z-scores revealed that these drugs are associated with different significantly frequent adverse events. Our results suggest that this safety concern metric may serve as a tool to inform selection of drugs with favorable safety profiles for COVID-19 patients in clinical practices. Caution is advised when administering drugs with high Z-scores to patients who are vulnerable to associated adverse events.
format Online
Article
Text
id pubmed-8263777
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-82637772021-07-09 Informing selection of drugs for COVID-19 treatment through adverse events analysis Guo, Wenjing Pan, Bohu Sakkiah, Sugunadevi Ji, Zuowei Yavas, Gokhan Lu, Yanhui Komatsu, Takashi E. Lal-Nag, Madhu Tong, Weida Patterson, Tucker A. Hong, Huixiao Sci Rep Article Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and there is an urgent need for safe and effective drugs for COVID-19 treatment. Since developing a new drug is time consuming, many approved or investigational drugs have been repurposed for COVID-19 treatment in clinical trials. Therefore, selection of safe drugs for COVID-19 patients is vital for combating this pandemic. Our goal was to evaluate the safety concerns of drugs by analyzing adverse events reported in post-market surveillance. We collected 296 drugs that have been evaluated in clinical trials for COVID-19 and identified 28,597,464 associated adverse events at the system organ classes (SOCs) level in the FDA adverse events report systems (FAERS). We calculated Z-scores of SOCs that statistically quantify the relative frequency of adverse events of drugs in FAERS to quantitatively measure safety concerns for the drugs. Analyzing the Z-scores revealed that these drugs are associated with different significantly frequent adverse events. Our results suggest that this safety concern metric may serve as a tool to inform selection of drugs with favorable safety profiles for COVID-19 patients in clinical practices. Caution is advised when administering drugs with high Z-scores to patients who are vulnerable to associated adverse events. Nature Publishing Group UK 2021-07-07 /pmc/articles/PMC8263777/ /pubmed/34234253 http://dx.doi.org/10.1038/s41598-021-93500-5 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Guo, Wenjing
Pan, Bohu
Sakkiah, Sugunadevi
Ji, Zuowei
Yavas, Gokhan
Lu, Yanhui
Komatsu, Takashi E.
Lal-Nag, Madhu
Tong, Weida
Patterson, Tucker A.
Hong, Huixiao
Informing selection of drugs for COVID-19 treatment through adverse events analysis
title Informing selection of drugs for COVID-19 treatment through adverse events analysis
title_full Informing selection of drugs for COVID-19 treatment through adverse events analysis
title_fullStr Informing selection of drugs for COVID-19 treatment through adverse events analysis
title_full_unstemmed Informing selection of drugs for COVID-19 treatment through adverse events analysis
title_short Informing selection of drugs for COVID-19 treatment through adverse events analysis
title_sort informing selection of drugs for covid-19 treatment through adverse events analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263777/
https://www.ncbi.nlm.nih.gov/pubmed/34234253
http://dx.doi.org/10.1038/s41598-021-93500-5
work_keys_str_mv AT guowenjing informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT panbohu informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT sakkiahsugunadevi informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT jizuowei informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT yavasgokhan informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT luyanhui informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT komatsutakashie informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT lalnagmadhu informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT tongweida informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT pattersontuckera informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis
AT honghuixiao informingselectionofdrugsforcovid19treatmentthroughadverseeventsanalysis