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Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records

Background: Drug-induced coagulopathy (DIC) is a severe adverse reaction and has become a significantly increased clinical problem in children. It is crucial to the detection of the DIC safety signal for drug post-marketing scientific supervision purposes. Therefore, this study aimed to detect poten...

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Autores principales: Nie, Xiaolu, Yu, Yuncui, Jia, Lulu, Zhao, Houyu, Chen, Zhenping, Zhang, Liqiang, Cheng, Xiaoling, Lyu, Yaqi, Cao, Wang, Wang, Xiaoling, Peng, Xiaoxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348591/
https://www.ncbi.nlm.nih.gov/pubmed/35935826
http://dx.doi.org/10.3389/fphar.2022.935627
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author Nie, Xiaolu
Yu, Yuncui
Jia, Lulu
Zhao, Houyu
Chen, Zhenping
Zhang, Liqiang
Cheng, Xiaoling
Lyu, Yaqi
Cao, Wang
Wang, Xiaoling
Peng, Xiaoxia
author_facet Nie, Xiaolu
Yu, Yuncui
Jia, Lulu
Zhao, Houyu
Chen, Zhenping
Zhang, Liqiang
Cheng, Xiaoling
Lyu, Yaqi
Cao, Wang
Wang, Xiaoling
Peng, Xiaoxia
author_sort Nie, Xiaolu
collection PubMed
description Background: Drug-induced coagulopathy (DIC) is a severe adverse reaction and has become a significantly increased clinical problem in children. It is crucial to the detection of the DIC safety signal for drug post-marketing scientific supervision purposes. Therefore, this study aimed to detect potential signals for DIC in children using the routine electronic medical record (EMR) data. Methods: This study extracted EMR data from Beijing Children’s Hospital between 2009 and 2020. A two-stage modeling method was developed to detect the signal of DIC. We calculated the crude incidence by mining cases of coagulopathy to select the potential suspected drugs; then, propensity score-matched retrospective cohorts of specific screened drugs from the first stage were constructed and estimated the odds ratio (OR) and 95% confidence interval (CI) using conditional logistic regression models. The current literature evidence was used to assess the novelty of the signal. Results:In the study, from a total of 340 drugs, 22 drugs were initially screened as potentially inducing coagulopathy. In total, we identified 19 positive DIC associations. Of these, potential DIC risk of omeprazole (OR: 2.23, 95% CI: 1.88–2.65), chlorpheniramine (OR:3.04, 95% CI:2.56–3.60), and salbutamol sulfate (OR:1.36, 95% CI:1.07–1.73) were three new DIC signals in both children and adults. Twelve associations between coagulopathy and drugs, meropenem (OR: 3.38, 95% CI: 2.72–4.20), cefoperazone sulbactam (OR: 2.80, 95% CI: 2.30–3.41), fluconazole (OR: 2.11, 95% CI: 1.71–2.59), voriconazole (OR: 2.82, 95% CI: 2.20–3.61), ambroxol hydrochloride (OR: 2.12, 95% CI: 1.74–2.58), furosemide (OR: 2.36, 95% CI: 2.08–2.67), iodixanol (OR: 2.21, 95% CI: 1.72–2.85), cefamandole (OR: 1.82, 95% CI: 1.56–2.13), ceftizoxime (OR: 1.95, 95% CI: 1.44–2.63), ceftriaxone (OR: 1.95, 95% CI: 1.44–2.63), latamoxef sodium (OR: 1.76, 95% CI: 1.49–2.07), and sulfamethoxazole (OR: 1.29, 95% CI: 1.01–1.64), were considered as new signals in children. Conclusion: The two-stage algorithm developed in our study to detect safety signals of DIC found nineteen signals of DIC, including twelve new signals in a pediatric population. However, these safety signals of DIC need to be confirmed by further studies based on population study and mechanism research.
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spelling pubmed-93485912022-08-04 Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records Nie, Xiaolu Yu, Yuncui Jia, Lulu Zhao, Houyu Chen, Zhenping Zhang, Liqiang Cheng, Xiaoling Lyu, Yaqi Cao, Wang Wang, Xiaoling Peng, Xiaoxia Front Pharmacol Pharmacology Background: Drug-induced coagulopathy (DIC) is a severe adverse reaction and has become a significantly increased clinical problem in children. It is crucial to the detection of the DIC safety signal for drug post-marketing scientific supervision purposes. Therefore, this study aimed to detect potential signals for DIC in children using the routine electronic medical record (EMR) data. Methods: This study extracted EMR data from Beijing Children’s Hospital between 2009 and 2020. A two-stage modeling method was developed to detect the signal of DIC. We calculated the crude incidence by mining cases of coagulopathy to select the potential suspected drugs; then, propensity score-matched retrospective cohorts of specific screened drugs from the first stage were constructed and estimated the odds ratio (OR) and 95% confidence interval (CI) using conditional logistic regression models. The current literature evidence was used to assess the novelty of the signal. Results:In the study, from a total of 340 drugs, 22 drugs were initially screened as potentially inducing coagulopathy. In total, we identified 19 positive DIC associations. Of these, potential DIC risk of omeprazole (OR: 2.23, 95% CI: 1.88–2.65), chlorpheniramine (OR:3.04, 95% CI:2.56–3.60), and salbutamol sulfate (OR:1.36, 95% CI:1.07–1.73) were three new DIC signals in both children and adults. Twelve associations between coagulopathy and drugs, meropenem (OR: 3.38, 95% CI: 2.72–4.20), cefoperazone sulbactam (OR: 2.80, 95% CI: 2.30–3.41), fluconazole (OR: 2.11, 95% CI: 1.71–2.59), voriconazole (OR: 2.82, 95% CI: 2.20–3.61), ambroxol hydrochloride (OR: 2.12, 95% CI: 1.74–2.58), furosemide (OR: 2.36, 95% CI: 2.08–2.67), iodixanol (OR: 2.21, 95% CI: 1.72–2.85), cefamandole (OR: 1.82, 95% CI: 1.56–2.13), ceftizoxime (OR: 1.95, 95% CI: 1.44–2.63), ceftriaxone (OR: 1.95, 95% CI: 1.44–2.63), latamoxef sodium (OR: 1.76, 95% CI: 1.49–2.07), and sulfamethoxazole (OR: 1.29, 95% CI: 1.01–1.64), were considered as new signals in children. Conclusion: The two-stage algorithm developed in our study to detect safety signals of DIC found nineteen signals of DIC, including twelve new signals in a pediatric population. However, these safety signals of DIC need to be confirmed by further studies based on population study and mechanism research. Frontiers Media S.A. 2022-07-20 /pmc/articles/PMC9348591/ /pubmed/35935826 http://dx.doi.org/10.3389/fphar.2022.935627 Text en Copyright © 2022 Nie, Yu, Jia, Zhao, Chen, Zhang, Cheng, Lyu, Cao, Wang and Peng. 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
Nie, Xiaolu
Yu, Yuncui
Jia, Lulu
Zhao, Houyu
Chen, Zhenping
Zhang, Liqiang
Cheng, Xiaoling
Lyu, Yaqi
Cao, Wang
Wang, Xiaoling
Peng, Xiaoxia
Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records
title Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records
title_full Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records
title_fullStr Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records
title_full_unstemmed Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records
title_short Signal Detection of Pediatric Drug–Induced Coagulopathy Using Routine Electronic Health Records
title_sort signal detection of pediatric drug–induced coagulopathy using routine electronic health records
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348591/
https://www.ncbi.nlm.nih.gov/pubmed/35935826
http://dx.doi.org/10.3389/fphar.2022.935627
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