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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,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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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 |
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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 |
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