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一项使用韩国全国性药品不良反应报告系统KAERS数据库对药物性心律失常进行的真实世界数据驱动的药物警戒调查。

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

作者信息

Go Chaerin, Kim Semi, Kim Yujin, Sunwoo Yongjun, Eom Sae Hyun, Yun Jiseong, Shin Sooyoung, Choi Yeo Jin

机构信息

Department of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul 02447, Republic of Korea.

Department of Regulatory Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.

出版信息

Pharmaceuticals (Basel). 2023 Nov 15;16(11):1612. doi: 10.3390/ph16111612.

Abstract

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.

摘要

本研究旨在调查药物性心律失常的患病率和严重程度,并确定与心律失常严重程度相关的预测因素。对2012年1月至2021年12月期间向韩国不良事件报告系统数据库(KAERS DB)报告的药物性心律失常病例进行了调查。进行了不成比例检验,以检测病因药物类别和类型以及患者人口统计学信息与药物性心律失常严重程度之间的关联。进行逻辑回归以研究增加严重心律失常风险的预测因素。药物性心律失常最常见的病因是七氟醚,而严重心律失常在麻醉药品中最为普遍。抗生素(报告比值比(ROR)4.125;95%置信区间1.438 - 11.835)、化疗(ROR 6.994;95%置信区间2.239 - 21.542)和碘化造影剂(ROR 8.273;95%置信区间3.062 - 22.352)与药物性心律失常的严重程度密切相关。在众多病因中,碘海醇(ROR 16.490;95%置信区间3.589 - 75.772)和利多卡因(ROR 12.347;95%置信区间2.996 - 50.884)更有可能与严重心律失常相关报告。年龄增长和合并症,主要是癌症,是与严重心律失常相关的最主要预测因素。有必要进一步研究特定患者预测因素对严重药物性心律失常风险增加的临床意义,以提高药物安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8732/10674837/f134af21e8ca/pharmaceuticals-16-01612-g001.jpg

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