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

doi:10.3390/ph14050425

Open AccessArticle

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

¹

Graduate School of Converging Clinical & Public Health, Ewha Womans University, Seoul 03760, Korea

²

Division of Life and Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Korea

³

Department of Pharmacy, Konkuk University Hospital, Seoul 05030, Korea

⁴

College of Pharmacy and Graduate School of Pharamceutical Sciences, Ewha Womans University, Seoul 03760, Korea

^*

Authors to whom correspondence should be addressed.

Pharmaceuticals 2021, 14(5), 425; https://doi.org/10.3390/ph14050425

Submission received: 31 March 2021 / Revised: 27 April 2021 / Accepted: 30 April 2021 / Published: 2 May 2021

(This article belongs to the Special Issue Adverse Drug Reactions and Gender Differences)

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Abstract

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.

Keywords: adverse drug reaction; cephalosporin; KIDS KAERS database (KIDS-KD); pharmacovigilance; signal

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MDPI and ACS Style

Choi, J.-Y.; Choi, J.-H.; Kim, M.-G.; Rhie, S.-J. Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database. Pharmaceuticals 2021, 14, 425. https://doi.org/10.3390/ph14050425

AMA Style

Choi J-Y, Choi J-H, Kim M-G, Rhie S-J. Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database. Pharmaceuticals. 2021; 14(5):425. https://doi.org/10.3390/ph14050425

Chicago/Turabian Style

Choi, Jung-Yoon, Jae-Hee Choi, Myeong-Gyu Kim, and Sandy-Jeong Rhie. 2021. "Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database" Pharmaceuticals 14, no. 5: 425. https://doi.org/10.3390/ph14050425

APA Style

Choi, J.-Y., Choi, J.-H., Kim, M.-G., & Rhie, S.-J. (2021). Signal Detection of Adverse Drug Reactions of Cephalosporins Using Data from a National Pharmacovigilance Database. Pharmaceuticals, 14(5), 425. https://doi.org/10.3390/ph14050425

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

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