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Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database

This case-non-case study aims to detect signals not currently listed on cephalosporin drug labels. From 2009 to 2018, adverse event (AE) reports concerning antibacterial drugs (anatomical therapeutic chemical (ATC) code J01) in the Korea Adverse Events Reporting System (KAERS) database were examined...

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Autores principales: Choi, Jung-Yoon, Choi, Jae-Hee, Kim, Myeong-Gyu, Rhie, Sandy-Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147424/
https://www.ncbi.nlm.nih.gov/pubmed/34063258
http://dx.doi.org/10.3390/ph14050425
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author Choi, Jung-Yoon
Choi, Jae-Hee
Kim, Myeong-Gyu
Rhie, Sandy-Jeong
author_facet Choi, Jung-Yoon
Choi, Jae-Hee
Kim, Myeong-Gyu
Rhie, Sandy-Jeong
author_sort Choi, Jung-Yoon
collection PubMed
description This case-non-case study aims to detect signals not currently listed on cephalosporin drug labels. From 2009 to 2018, adverse event (AE) reports concerning antibacterial drugs (anatomical therapeutic chemical (ATC) code J01) in the Korea Adverse Events Reporting System (KAERS) database were examined. For signal detection, three indices of disproportionality, proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC), were calculated. The list of signals was compared with ADRs on the drug labels from the United States, United Kingdom, Japan, and South Korea. A total of 163,800 cephalosporin–AE combinations and 72,265 all other J01–AE combinations were analyzed. This study detected 472 signals and 114 new signals that are not included on the drug labels. Cefatrizine–corneal edema (PRR, 440.64; ROR, 481.67; IC, 3.84) and cefatrizine–corneal ulceration (PRR, 346.22; ROR, 399.70; IC, 4.40) had the highest PRR, ROR, and IC among all signals. Additionally, six serious AEs that were not listed on drug labels such as cefaclor-induced stupor (ten cases) and cefaclor-induced respiratory depression (four cases) were found. Detecting signals using a national pharmacovigilance database is useful for identifying unknown ADRs. This study identified signals of cephalosporins that warrant further investigation.
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spelling pubmed-81474242021-05-26 Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database Choi, Jung-Yoon Choi, Jae-Hee Kim, Myeong-Gyu Rhie, Sandy-Jeong Pharmaceuticals (Basel) Article This case-non-case study aims to detect signals not currently listed on cephalosporin drug labels. From 2009 to 2018, adverse event (AE) reports concerning antibacterial drugs (anatomical therapeutic chemical (ATC) code J01) in the Korea Adverse Events Reporting System (KAERS) database were examined. For signal detection, three indices of disproportionality, proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC), were calculated. The list of signals was compared with ADRs on the drug labels from the United States, United Kingdom, Japan, and South Korea. A total of 163,800 cephalosporin–AE combinations and 72,265 all other J01–AE combinations were analyzed. This study detected 472 signals and 114 new signals that are not included on the drug labels. Cefatrizine–corneal edema (PRR, 440.64; ROR, 481.67; IC, 3.84) and cefatrizine–corneal ulceration (PRR, 346.22; ROR, 399.70; IC, 4.40) had the highest PRR, ROR, and IC among all signals. Additionally, six serious AEs that were not listed on drug labels such as cefaclor-induced stupor (ten cases) and cefaclor-induced respiratory depression (four cases) were found. Detecting signals using a national pharmacovigilance database is useful for identifying unknown ADRs. This study identified signals of cephalosporins that warrant further investigation. MDPI 2021-05-02 /pmc/articles/PMC8147424/ /pubmed/34063258 http://dx.doi.org/10.3390/ph14050425 Text en © 2021 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
Choi, Jung-Yoon
Choi, Jae-Hee
Kim, Myeong-Gyu
Rhie, Sandy-Jeong
Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database
title Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database
title_full Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database
title_fullStr Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database
title_full_unstemmed Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database
title_short Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database
title_sort signal detection of adverse drug reactions of cephalosporins using data from a national pharmacovigilance database
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147424/
https://www.ncbi.nlm.nih.gov/pubmed/34063258
http://dx.doi.org/10.3390/ph14050425
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