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Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database
Adverse events associated with opioid use in palliative care have been extensively studied. However, predicting the occurrence of adverse events based on the specific opioid used remains difficult. This study aimed to comprehensively analyze the adverse events related to µ-opioid receptor stimulatio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675800/ https://www.ncbi.nlm.nih.gov/pubmed/38004407 http://dx.doi.org/10.3390/ph16111541 |
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author | Hirai, Risako Uesawa, Yoshihiro |
author_facet | Hirai, Risako Uesawa, Yoshihiro |
author_sort | Hirai, Risako |
collection | PubMed |
description | Adverse events associated with opioid use in palliative care have been extensively studied. However, predicting the occurrence of adverse events based on the specific opioid used remains difficult. This study aimed to comprehensively analyze the adverse events related to µ-opioid receptor stimulation of opioids approved in Japan and investigate the tendencies of adverse event occurrence among different opioids. We utilized the FDA Adverse Event Reporting System database to extract reported adverse events for opioids approved in Japan. Cluster analysis was performed on reporting odds ratios (RORs) of adverse event names among opioids to visualize relationships between opioids and adverse events, facilitating a comparative study of their classifications. We calculated the RORs of adverse events for the target opioids. Cluster analysis based on these RORs resulted in five broad clusters based on the reported adverse events: i.e., strong opioids, weak opioids, loperamide, tapentadol, and remifentanil. This study provides a comprehensive classification of the association between μ-opioid-receptor-stimulating opioids and adverse events. |
format | Online Article Text |
id | pubmed-10675800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106758002023-11-01 Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database Hirai, Risako Uesawa, Yoshihiro Pharmaceuticals (Basel) Article Adverse events associated with opioid use in palliative care have been extensively studied. However, predicting the occurrence of adverse events based on the specific opioid used remains difficult. This study aimed to comprehensively analyze the adverse events related to µ-opioid receptor stimulation of opioids approved in Japan and investigate the tendencies of adverse event occurrence among different opioids. We utilized the FDA Adverse Event Reporting System database to extract reported adverse events for opioids approved in Japan. Cluster analysis was performed on reporting odds ratios (RORs) of adverse event names among opioids to visualize relationships between opioids and adverse events, facilitating a comparative study of their classifications. We calculated the RORs of adverse events for the target opioids. Cluster analysis based on these RORs resulted in five broad clusters based on the reported adverse events: i.e., strong opioids, weak opioids, loperamide, tapentadol, and remifentanil. This study provides a comprehensive classification of the association between μ-opioid-receptor-stimulating opioids and adverse events. MDPI 2023-11-01 /pmc/articles/PMC10675800/ /pubmed/38004407 http://dx.doi.org/10.3390/ph16111541 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hirai, Risako Uesawa, Yoshihiro Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database |
title | Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database |
title_full | Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database |
title_fullStr | Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database |
title_full_unstemmed | Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database |
title_short | Analysis of Opioid-Related Adverse Events in Japan Using FAERS Database |
title_sort | analysis of opioid-related adverse events in japan using faers database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675800/ https://www.ncbi.nlm.nih.gov/pubmed/38004407 http://dx.doi.org/10.3390/ph16111541 |
work_keys_str_mv | AT hirairisako analysisofopioidrelatedadverseeventsinjapanusingfaersdatabase AT uesawayoshihiro analysisofopioidrelatedadverseeventsinjapanusingfaersdatabase |