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A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System

This study aims to investigate the prevalence and seriousness of drug-induced arrhythmia and to identify predictors associated with the seriousness of arrhythmia. Drug-induced arrhythmia cases reported to the Korean Adverse Event Reporting System Database (KAERS DB) from January 2012 to December 202...

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Autores principales: Go, Chaerin, Kim, Semi, Kim, Yujin, Sunwoo, Yongjun, Eom, Sae Hyun, Yun, Jiseong, Shin, Sooyoung, Choi, Yeo Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674837/
https://www.ncbi.nlm.nih.gov/pubmed/38004477
http://dx.doi.org/10.3390/ph16111612
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author Go, Chaerin
Kim, Semi
Kim, Yujin
Sunwoo, Yongjun
Eom, Sae Hyun
Yun, Jiseong
Shin, Sooyoung
Choi, Yeo Jin
author_facet Go, Chaerin
Kim, Semi
Kim, Yujin
Sunwoo, Yongjun
Eom, Sae Hyun
Yun, Jiseong
Shin, Sooyoung
Choi, Yeo Jin
author_sort Go, Chaerin
collection PubMed
description This study aims to investigate the prevalence and seriousness of drug-induced arrhythmia and to identify predictors associated with the seriousness of arrhythmia. Drug-induced arrhythmia cases reported to the Korean Adverse Event Reporting System Database (KAERS DB) from January 2012 to December 2021 were investigated. A disproportionality test was performed to detect the association of the etiologic medication classes and types, along with patient demographic information, with the seriousness of drug-induced arrhythmia. Logistic regression was performed to investigate the predictors that increase the risk of serious arrhythmia. The most common etiologic agent for drug-induced arrhythmia was sevoflurane, whereas serious arrhythmia was most prevalent with narcotics. Antibiotics (reporting odds ratio (ROR) 4.125; 95% CI 1.438–11.835), chemotherapy (ROR 6.994; 95% CI 2.239–21.542), and iodinated contrast media (ROR 8.273; 95% CI 3.062–22.352) had a strong association with the seriousness of drug-induced arrhythmia. Among numerous etiologic agents, ioversol (ROR 16.490; 95% CI 3.589–75.772) and lidocaine (ROR 12.347; 95% CI 2.996–50.884) were more likely to be reported with serious arrhythmia. Aging and comorbidity, primarily cancer, are the most contributing predictors associated with serious arrhythmia. Further studies on the clinical significance of patient-specific predictors for the increased risk of serious drug-induced arrhythmia are warranted to promote drug safety.
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spelling pubmed-106748372023-11-15 A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System Go, Chaerin Kim, Semi Kim, Yujin Sunwoo, Yongjun Eom, Sae Hyun Yun, Jiseong Shin, Sooyoung Choi, Yeo Jin Pharmaceuticals (Basel) Article This study aims to investigate the prevalence and seriousness of drug-induced arrhythmia and to identify predictors associated with the seriousness of arrhythmia. Drug-induced arrhythmia cases reported to the Korean Adverse Event Reporting System Database (KAERS DB) from January 2012 to December 2021 were investigated. A disproportionality test was performed to detect the association of the etiologic medication classes and types, along with patient demographic information, with the seriousness of drug-induced arrhythmia. Logistic regression was performed to investigate the predictors that increase the risk of serious arrhythmia. The most common etiologic agent for drug-induced arrhythmia was sevoflurane, whereas serious arrhythmia was most prevalent with narcotics. Antibiotics (reporting odds ratio (ROR) 4.125; 95% CI 1.438–11.835), chemotherapy (ROR 6.994; 95% CI 2.239–21.542), and iodinated contrast media (ROR 8.273; 95% CI 3.062–22.352) had a strong association with the seriousness of drug-induced arrhythmia. Among numerous etiologic agents, ioversol (ROR 16.490; 95% CI 3.589–75.772) and lidocaine (ROR 12.347; 95% CI 2.996–50.884) were more likely to be reported with serious arrhythmia. Aging and comorbidity, primarily cancer, are the most contributing predictors associated with serious arrhythmia. Further studies on the clinical significance of patient-specific predictors for the increased risk of serious drug-induced arrhythmia are warranted to promote drug safety. MDPI 2023-11-15 /pmc/articles/PMC10674837/ /pubmed/38004477 http://dx.doi.org/10.3390/ph16111612 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Go, Chaerin
Kim, Semi
Kim, Yujin
Sunwoo, Yongjun
Eom, Sae Hyun
Yun, Jiseong
Shin, Sooyoung
Choi, Yeo Jin
A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System
title A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System
title_full A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System
title_fullStr A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System
title_full_unstemmed A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System
title_short A Real-World Data Driven Pharmacovigilance Investigation on Drug-Induced Arrhythmia Using KAERS DB, a Korean Nationwide Adverse Drug Reporting System
title_sort real-world data driven pharmacovigilance investigation on drug-induced arrhythmia using kaers db, a korean nationwide adverse drug reporting system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674837/
https://www.ncbi.nlm.nih.gov/pubmed/38004477
http://dx.doi.org/10.3390/ph16111612
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