Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1785149755994669056 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10674837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gochaerin arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT kimsemi arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT kimyujin arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT sunwooyongjun arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT eomsaehyun arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT yunjiseong arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT shinsooyoung arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT choiyeojin arealworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT gochaerin realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT kimsemi realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT kimyujin realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT sunwooyongjun realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT eomsaehyun realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT yunjiseong realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT shinsooyoung realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem AT choiyeojin realworlddatadrivenpharmacovigilanceinvestigationondruginducedarrhythmiausingkaersdbakoreannationwideadversedrugreportingsystem |