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Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system

BACKGROUND: Evidence of drug-induced liver injury is abundant in adults but is lacking in children. Our aim was to identify suspected drug signals associated with pediatric liver injury. METHODS: Hepatic adverse events (HAEs) among children reported in the Food and Drug Administration Adverse Event...

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Autores principales: Liu, Yan, Li, Hailong, Huang, Liang, Wan, Chaomin, Wang, Huiqing, Jiao, Xuefeng, Zeng, Linan, Jia, Zhijun, Cheng, Guo, Zhang, Lei, Zhang, Wei, Zhang, Lingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537493/
https://www.ncbi.nlm.nih.gov/pubmed/37770847
http://dx.doi.org/10.1186/s12887-023-04097-9
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author Liu, Yan
Li, Hailong
Huang, Liang
Wan, Chaomin
Wang, Huiqing
Jiao, Xuefeng
Zeng, Linan
Jia, Zhijun
Cheng, Guo
Zhang, Lei
Zhang, Wei
Zhang, Lingli
author_facet Liu, Yan
Li, Hailong
Huang, Liang
Wan, Chaomin
Wang, Huiqing
Jiao, Xuefeng
Zeng, Linan
Jia, Zhijun
Cheng, Guo
Zhang, Lei
Zhang, Wei
Zhang, Lingli
author_sort Liu, Yan
collection PubMed
description BACKGROUND: Evidence of drug-induced liver injury is abundant in adults but is lacking in children. Our aim was to identify suspected drug signals associated with pediatric liver injury. METHODS: Hepatic adverse events (HAEs) among children reported in the Food and Drug Administration Adverse Event Reporting System were analyzed. A descriptive analysis was performed to summarize pediatric HAEs, and a disproportionality analysis was conducted by evaluating reporting odds ratios (RORs) and proportional reporting ratios to detect suspected drugs. RESULTS: Here, 14,143 pediatric cases were reported, specifically 49.6% in males, 45.1% in females, and 5.2% unknown. Most patients (68.8%) were 6–18 years old. Hospitalization ranked first among definite outcomes (7,207 cases, 37.2%). In total, 264 disproportionate drug signals were identified. The top 10 drugs by the number of reports were paracetamol (1,365; ROR, 3.6; 95% confidence interval (CI), 3.4–3.8), methotrexate (878; ROR, 2.5; 95% CI, 2.3–2.7), vincristine (649; ROR, 3.0; 95% CI, 2.8–3.3), valproic acid (511; ROR, 3.2; 95% CI, 2.9–3.6), cyclophosphamide (490; ROR, 2.4; 95% CI, 2.2–2.6), tacrolimus (427; ROR, 2.4; 95% CI, 2.2–2.7), prednisone (416; ROR, 2.1; 95% CI, 1.9–2.3), prednisolone (401; ROR, 2.3; 95% CI, 2.1–2.5), etoposide (378; ROR, 2.3; 95% CI, 2.1–2.6), and cytarabine (344; ROR, 2.8; 95% CI, 2.5–3.2). After excluding validated hepatotoxic drugs, six were newly detected, specifically acetylcysteine, thiopental, temazepam, nefopam, primaquine, and pyrimethamine. CONCLUSIONS: The hepatotoxic risk associated with 264 signals needs to be noted in practice. The causality of hepatotoxicity and mechanism among new signals should be verified with preclinical and clinical studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04097-9.
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spelling pubmed-105374932023-09-29 Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system Liu, Yan Li, Hailong Huang, Liang Wan, Chaomin Wang, Huiqing Jiao, Xuefeng Zeng, Linan Jia, Zhijun Cheng, Guo Zhang, Lei Zhang, Wei Zhang, Lingli BMC Pediatr Research BACKGROUND: Evidence of drug-induced liver injury is abundant in adults but is lacking in children. Our aim was to identify suspected drug signals associated with pediatric liver injury. METHODS: Hepatic adverse events (HAEs) among children reported in the Food and Drug Administration Adverse Event Reporting System were analyzed. A descriptive analysis was performed to summarize pediatric HAEs, and a disproportionality analysis was conducted by evaluating reporting odds ratios (RORs) and proportional reporting ratios to detect suspected drugs. RESULTS: Here, 14,143 pediatric cases were reported, specifically 49.6% in males, 45.1% in females, and 5.2% unknown. Most patients (68.8%) were 6–18 years old. Hospitalization ranked first among definite outcomes (7,207 cases, 37.2%). In total, 264 disproportionate drug signals were identified. The top 10 drugs by the number of reports were paracetamol (1,365; ROR, 3.6; 95% confidence interval (CI), 3.4–3.8), methotrexate (878; ROR, 2.5; 95% CI, 2.3–2.7), vincristine (649; ROR, 3.0; 95% CI, 2.8–3.3), valproic acid (511; ROR, 3.2; 95% CI, 2.9–3.6), cyclophosphamide (490; ROR, 2.4; 95% CI, 2.2–2.6), tacrolimus (427; ROR, 2.4; 95% CI, 2.2–2.7), prednisone (416; ROR, 2.1; 95% CI, 1.9–2.3), prednisolone (401; ROR, 2.3; 95% CI, 2.1–2.5), etoposide (378; ROR, 2.3; 95% CI, 2.1–2.6), and cytarabine (344; ROR, 2.8; 95% CI, 2.5–3.2). After excluding validated hepatotoxic drugs, six were newly detected, specifically acetylcysteine, thiopental, temazepam, nefopam, primaquine, and pyrimethamine. CONCLUSIONS: The hepatotoxic risk associated with 264 signals needs to be noted in practice. The causality of hepatotoxicity and mechanism among new signals should be verified with preclinical and clinical studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04097-9. BioMed Central 2023-09-28 /pmc/articles/PMC10537493/ /pubmed/37770847 http://dx.doi.org/10.1186/s12887-023-04097-9 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Yan
Li, Hailong
Huang, Liang
Wan, Chaomin
Wang, Huiqing
Jiao, Xuefeng
Zeng, Linan
Jia, Zhijun
Cheng, Guo
Zhang, Lei
Zhang, Wei
Zhang, Lingli
Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system
title Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system
title_full Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system
title_fullStr Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system
title_full_unstemmed Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system
title_short Liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system
title_sort liver injury in children: signal analysis of suspected drugs based on the food and drug administration adverse event reporting system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537493/
https://www.ncbi.nlm.nih.gov/pubmed/37770847
http://dx.doi.org/10.1186/s12887-023-04097-9
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