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Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020

Introduction: Adverse drug reactions (ADRs) represent a public health problem worldwide that deserves attention due to the impact on mortality, morbidity, and healthcare costs. Drug–drug interactions (DDIs) are an important contributor to ADRs. Most of the studies focused only on potential DDIs (pDD...

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Autores principales: Jiang, Huaqiao, Lin, Yanhua, Ren, Weifang, Fang, Zhonghong, Liu, Yujuan, Tan, Xiaofang, Lv, Xiaoqun, Zhang, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483724/
https://www.ncbi.nlm.nih.gov/pubmed/36133826
http://dx.doi.org/10.3389/fphar.2022.923939
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author Jiang, Huaqiao
Lin, Yanhua
Ren, Weifang
Fang, Zhonghong
Liu, Yujuan
Tan, Xiaofang
Lv, Xiaoqun
Zhang, Ning
author_facet Jiang, Huaqiao
Lin, Yanhua
Ren, Weifang
Fang, Zhonghong
Liu, Yujuan
Tan, Xiaofang
Lv, Xiaoqun
Zhang, Ning
author_sort Jiang, Huaqiao
collection PubMed
description Introduction: Adverse drug reactions (ADRs) represent a public health problem worldwide that deserves attention due to the impact on mortality, morbidity, and healthcare costs. Drug–drug interactions (DDIs) are an important contributor to ADRs. Most of the studies focused only on potential DDIs (pDDIs), while the detailed data are limited regarding the ADRs associated with actual DDIs. Methods: This retrospective study evaluated ADRs reported between 2011 and 2020 in a tertiary hospital. The causality and severity of ADRs were evaluated through the Naranjo Algorithm and Hartwig’s scale, respectively. Preventability classification was based on the modified Schoumock and Thornton scale. For ADRs with at least two suspected drugs, pDDIs were identified according to the Lexi-Interact. We further checked whether the ADR description in the reports corresponded to the clinical consequences of the pDDIs. Results: A total of 1,803 ADRs were reported, of which 36.77% ADRs were classified as mild, 43.26% as moderate, and 19.97% as severe. The assessment of causality showed that the distributions of definite, probable, and possible categories were 0.33%, 58.68%, and 40.99%, respectively. A total of 53.97% of ADRs were identified as preventable ADRs, while 46.03% were recognized as unpreventable. The severity of ADRs was significantly correlated with age, the number of suspected drugs and preventability. Antimicrobial agents were the most common implicated pharmacological group, and the most frequently affected system was the gastrointestinal system. Considering individual drugs, aspirin was the most frequently reported drug. Among 573 ADRs with at least two suspected drugs, 105 ADRs were caused by actual DDIs, of which only 59 and 6 ADRs were caused by actual DDIs in category D and X, respectively. The most frequent drugs involved in actual DDIs of category D were aspirin and heparin, with the majority of ADRs being gastrointestinal bleeding. Conclusion: This study analyzed the pattern of ADRs in detail and obtained clinical evidence about ADRs associated with actual DDIs. These findings may be useful to compare patterns between different centers and to design preventive strategies for ADRs. Continuous education and training should be provided for physicians regarding the knowledge and recognition of ADRs associated with DDIs.
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spelling pubmed-94837242022-09-20 Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020 Jiang, Huaqiao Lin, Yanhua Ren, Weifang Fang, Zhonghong Liu, Yujuan Tan, Xiaofang Lv, Xiaoqun Zhang, Ning Front Pharmacol Pharmacology Introduction: Adverse drug reactions (ADRs) represent a public health problem worldwide that deserves attention due to the impact on mortality, morbidity, and healthcare costs. Drug–drug interactions (DDIs) are an important contributor to ADRs. Most of the studies focused only on potential DDIs (pDDIs), while the detailed data are limited regarding the ADRs associated with actual DDIs. Methods: This retrospective study evaluated ADRs reported between 2011 and 2020 in a tertiary hospital. The causality and severity of ADRs were evaluated through the Naranjo Algorithm and Hartwig’s scale, respectively. Preventability classification was based on the modified Schoumock and Thornton scale. For ADRs with at least two suspected drugs, pDDIs were identified according to the Lexi-Interact. We further checked whether the ADR description in the reports corresponded to the clinical consequences of the pDDIs. Results: A total of 1,803 ADRs were reported, of which 36.77% ADRs were classified as mild, 43.26% as moderate, and 19.97% as severe. The assessment of causality showed that the distributions of definite, probable, and possible categories were 0.33%, 58.68%, and 40.99%, respectively. A total of 53.97% of ADRs were identified as preventable ADRs, while 46.03% were recognized as unpreventable. The severity of ADRs was significantly correlated with age, the number of suspected drugs and preventability. Antimicrobial agents were the most common implicated pharmacological group, and the most frequently affected system was the gastrointestinal system. Considering individual drugs, aspirin was the most frequently reported drug. Among 573 ADRs with at least two suspected drugs, 105 ADRs were caused by actual DDIs, of which only 59 and 6 ADRs were caused by actual DDIs in category D and X, respectively. The most frequent drugs involved in actual DDIs of category D were aspirin and heparin, with the majority of ADRs being gastrointestinal bleeding. Conclusion: This study analyzed the pattern of ADRs in detail and obtained clinical evidence about ADRs associated with actual DDIs. These findings may be useful to compare patterns between different centers and to design preventive strategies for ADRs. Continuous education and training should be provided for physicians regarding the knowledge and recognition of ADRs associated with DDIs. Frontiers Media S.A. 2022-08-22 /pmc/articles/PMC9483724/ /pubmed/36133826 http://dx.doi.org/10.3389/fphar.2022.923939 Text en Copyright © 2022 Jiang, Lin, Ren, Fang, Liu, Tan, Lv 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
Jiang, Huaqiao
Lin, Yanhua
Ren, Weifang
Fang, Zhonghong
Liu, Yujuan
Tan, Xiaofang
Lv, Xiaoqun
Zhang, Ning
Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020
title Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020
title_full Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020
title_fullStr Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020
title_full_unstemmed Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020
title_short Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020
title_sort adverse drug reactions and correlations with drug–drug interactions: a retrospective study of reports from 2011 to 2020
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483724/
https://www.ncbi.nlm.nih.gov/pubmed/36133826
http://dx.doi.org/10.3389/fphar.2022.923939
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