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Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units

OBJECTIVES: Children admitted to intensive care units (ICUs) often require multiple medications due to the complexity and severity of their disease, which put them at an increased risk for drug interactions. This study examined cytochrome P450-mediated drug-drug interactions (DDIs) based on the Pedi...

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Autores principales: Li, Tong, Hu, Biwen, Ye, Ling, Feng, Zeying, Huang, Longjian, Guo, Chengjun, Wu, Xiong, Tan, Wei, Wang, Yi, Yang, Guoping, Guo, Chengxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427250/
https://www.ncbi.nlm.nih.gov/pubmed/36081809
http://dx.doi.org/10.1155/2022/2786914
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author Li, Tong
Hu, Biwen
Ye, Ling
Feng, Zeying
Huang, Longjian
Guo, Chengjun
Wu, Xiong
Tan, Wei
Wang, Yi
Yang, Guoping
Guo, Chengxian
author_facet Li, Tong
Hu, Biwen
Ye, Ling
Feng, Zeying
Huang, Longjian
Guo, Chengjun
Wu, Xiong
Tan, Wei
Wang, Yi
Yang, Guoping
Guo, Chengxian
author_sort Li, Tong
collection PubMed
description OBJECTIVES: Children admitted to intensive care units (ICUs) often require multiple medications due to the complexity and severity of their disease, which put them at an increased risk for drug interactions. This study examined cytochrome P450-mediated drug-drug interactions (DDIs) based on the Pediatric Intensive Care (PIC) database, with the aim of analyzing the incidence of clinically significant potential drug-drug interactions (pDDIs) and exploring the occurrence of actual adverse reactions. METHODS: The Lexicomp database was used to screen cytochrome P450-mediated DDI pairings with good levels of reliability and clear clinical phenotypes. Patients exposed to the above drug pairs during the same period were screened in the PIC database. The incidence of clinically significant pDDIs was calculated, and the occurrence of adverse reactions was explored based on laboratory measurements. RESULTS: In total, 84 (1.21%) of 6920 children who used two or more drugs were exposed to at least one clinically significant pDDI. All pDDIs were based on CYP3A4, with nifedipine + voriconazole (39.60%) being the most common drug pair, and the most frequent being the J02 class of drugs. Based on laboratory measurements, 15 adverse reactions were identified in 12 patients. CONCLUSIONS: Clinically significant cytochrome P450-mediated pDDIs existed in the children admitted to ICUs, and some of the pDDIs led to adverse clinical outcomes. The use of clinical decision support systems can guide clinical medication use, and clinical monitoring of patients' needs has to be enhanced.
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spelling pubmed-94272502022-09-07 Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units Li, Tong Hu, Biwen Ye, Ling Feng, Zeying Huang, Longjian Guo, Chengjun Wu, Xiong Tan, Wei Wang, Yi Yang, Guoping Guo, Chengxian Int J Clin Pract Research Article OBJECTIVES: Children admitted to intensive care units (ICUs) often require multiple medications due to the complexity and severity of their disease, which put them at an increased risk for drug interactions. This study examined cytochrome P450-mediated drug-drug interactions (DDIs) based on the Pediatric Intensive Care (PIC) database, with the aim of analyzing the incidence of clinically significant potential drug-drug interactions (pDDIs) and exploring the occurrence of actual adverse reactions. METHODS: The Lexicomp database was used to screen cytochrome P450-mediated DDI pairings with good levels of reliability and clear clinical phenotypes. Patients exposed to the above drug pairs during the same period were screened in the PIC database. The incidence of clinically significant pDDIs was calculated, and the occurrence of adverse reactions was explored based on laboratory measurements. RESULTS: In total, 84 (1.21%) of 6920 children who used two or more drugs were exposed to at least one clinically significant pDDI. All pDDIs were based on CYP3A4, with nifedipine + voriconazole (39.60%) being the most common drug pair, and the most frequent being the J02 class of drugs. Based on laboratory measurements, 15 adverse reactions were identified in 12 patients. CONCLUSIONS: Clinically significant cytochrome P450-mediated pDDIs existed in the children admitted to ICUs, and some of the pDDIs led to adverse clinical outcomes. The use of clinical decision support systems can guide clinical medication use, and clinical monitoring of patients' needs has to be enhanced. Hindawi 2022-08-23 /pmc/articles/PMC9427250/ /pubmed/36081809 http://dx.doi.org/10.1155/2022/2786914 Text en Copyright © 2022 Tong Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Tong
Hu, Biwen
Ye, Ling
Feng, Zeying
Huang, Longjian
Guo, Chengjun
Wu, Xiong
Tan, Wei
Wang, Yi
Yang, Guoping
Guo, Chengxian
Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units
title Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units
title_full Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units
title_fullStr Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units
title_full_unstemmed Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units
title_short Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units
title_sort clinically significant cytochrome p450-mediated drug-drug interactions in children admitted to intensive care units
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427250/
https://www.ncbi.nlm.nih.gov/pubmed/36081809
http://dx.doi.org/10.1155/2022/2786914
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