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Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022

BACKGROUND: Our study aimed to assess the risk signals of antibiotic-associated diarrhea (AAD) caused by various antibiotics using real-world data and provide references for safe clinical applications. METHODS: We analyzed data extracted from the FDA Adverse Event Reporting System (FAERS) database,...

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Autores principales: Huang, Haining, Li, Lanfang, Wu, Mingli, Liu, Zhen, Zhao, Yanyan, Peng, Jing, Ren, Xiaolei, Chen, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694877/
https://www.ncbi.nlm.nih.gov/pubmed/38049920
http://dx.doi.org/10.1186/s40360-023-00710-w
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author Huang, Haining
Li, Lanfang
Wu, Mingli
Liu, Zhen
Zhao, Yanyan
Peng, Jing
Ren, Xiaolei
Chen, Shuai
author_facet Huang, Haining
Li, Lanfang
Wu, Mingli
Liu, Zhen
Zhao, Yanyan
Peng, Jing
Ren, Xiaolei
Chen, Shuai
author_sort Huang, Haining
collection PubMed
description BACKGROUND: Our study aimed to assess the risk signals of antibiotic-associated diarrhea (AAD) caused by various antibiotics using real-world data and provide references for safe clinical applications. METHODS: We analyzed data extracted from the FDA Adverse Event Reporting System (FAERS) database, covering the period from the first quarter of 2004 to the third quarter of 2022. We computed the reporting odds ratio (ROR) for each antibiotic or antibiotic class to compare the signal difference. Furthermore, we also examined the differences in the onset times and outcomes of AAD caused by various antibiotics. RESULTS: A total of 5,397 reports met the inclusion requirements. Almost all antibiotics, except tobramycin and minocycline (ROR 0.98; 95%CI: 0.64–1.51 and 0.42; 95%CI: 0.16–1.11, respectively), showed a significant correlation with AAD. The analysis of the correlation between different classes of antibiotics and AAD revealed that lincomycins (ROR 29.19; 95%CI: 27.06–31.50), third-generation cephalosporins (ROR 15.96; 95%CI: 14.58–17.47), and first/second generation cephalosporins (ROR 15.29; 95%CI: 13.74–17.01) ranked the top three. The ROR values for antibiotics from the same class of antibiotics also varied greatly, with the ROR values for third-generation cephalosporins ranging from 9.97 to 58.59. There were also differences in ROR values between β-lactamase inhibitors and their corresponding β-lactamase drugs, such as amoxicillin-clavulanate (ROR = 13.31; 95%CI: 12.09–14.65) and amoxicillin (ROR = 6.50; 95%CI: 5.69–7.44). 91.35% of antibiotics have an onset time of less than four weeks. CONCLUSIONS: There is a significant correlation between almost all antibiotics and AAD, particularly lincomycins and β-lactam antibiotics, as well as a different correlation within the same class. These findings offer valuable evidence for selecting antibiotics appropriately. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40360-023-00710-w.
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spelling pubmed-106948772023-12-05 Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022 Huang, Haining Li, Lanfang Wu, Mingli Liu, Zhen Zhao, Yanyan Peng, Jing Ren, Xiaolei Chen, Shuai BMC Pharmacol Toxicol Research BACKGROUND: Our study aimed to assess the risk signals of antibiotic-associated diarrhea (AAD) caused by various antibiotics using real-world data and provide references for safe clinical applications. METHODS: We analyzed data extracted from the FDA Adverse Event Reporting System (FAERS) database, covering the period from the first quarter of 2004 to the third quarter of 2022. We computed the reporting odds ratio (ROR) for each antibiotic or antibiotic class to compare the signal difference. Furthermore, we also examined the differences in the onset times and outcomes of AAD caused by various antibiotics. RESULTS: A total of 5,397 reports met the inclusion requirements. Almost all antibiotics, except tobramycin and minocycline (ROR 0.98; 95%CI: 0.64–1.51 and 0.42; 95%CI: 0.16–1.11, respectively), showed a significant correlation with AAD. The analysis of the correlation between different classes of antibiotics and AAD revealed that lincomycins (ROR 29.19; 95%CI: 27.06–31.50), third-generation cephalosporins (ROR 15.96; 95%CI: 14.58–17.47), and first/second generation cephalosporins (ROR 15.29; 95%CI: 13.74–17.01) ranked the top three. The ROR values for antibiotics from the same class of antibiotics also varied greatly, with the ROR values for third-generation cephalosporins ranging from 9.97 to 58.59. There were also differences in ROR values between β-lactamase inhibitors and their corresponding β-lactamase drugs, such as amoxicillin-clavulanate (ROR = 13.31; 95%CI: 12.09–14.65) and amoxicillin (ROR = 6.50; 95%CI: 5.69–7.44). 91.35% of antibiotics have an onset time of less than four weeks. CONCLUSIONS: There is a significant correlation between almost all antibiotics and AAD, particularly lincomycins and β-lactam antibiotics, as well as a different correlation within the same class. These findings offer valuable evidence for selecting antibiotics appropriately. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40360-023-00710-w. BioMed Central 2023-12-04 /pmc/articles/PMC10694877/ /pubmed/38049920 http://dx.doi.org/10.1186/s40360-023-00710-w 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
Huang, Haining
Li, Lanfang
Wu, Mingli
Liu, Zhen
Zhao, Yanyan
Peng, Jing
Ren, Xiaolei
Chen, Shuai
Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022
title Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022
title_full Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022
title_fullStr Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022
title_full_unstemmed Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022
title_short Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022
title_sort antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the fda adverse event reporting system from 2004 to 2022
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694877/
https://www.ncbi.nlm.nih.gov/pubmed/38049920
http://dx.doi.org/10.1186/s40360-023-00710-w
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