Literature DB >> 28646789

Data-mining for detecting signals of adverse drug reactions of fluoxetine using the Korea Adverse Event Reporting System (KAERS) database.

Seonji Kim1, Kyounghoon Park1, Mi-Sook Kim1, Bo Ram Yang2, Hyun Jin Choi3, Byung-Joo Park4.   

Abstract

Selective serotonin reuptake inhibitors (SSRIs) have become one of the most broadly used medications in psychiatry. Fluoxetine is the first representative antidepressant SSRI drug approved by the Food and Drug Administration (FDA) in 1987. Safety information on fluoxetine use alone was less reported than its combined use with other drugs. There were no published papers on adverse drug reactions (ADRs) of fluoxetine analyzing spontaneous adverse events reports. We detected signals of the adverse drug reactions of fluoxetine by data mining using the Korea Adverse Events Reporting System (KAERS) database. We defined signals in this study by the reporting odds ratios (ROR), proportional reporting ratios (PRR), and information components (IC) indices. The KAERS database included 860,224 AE reports, among which 866 reports contained fluoxetine. We compared the labels of fluoxetine among the United States, UK, Germany, France, China, and Korea. Some of the signals, including emotional lability, myositis, spinal stenosis, paradoxical drug reaction, drug dependence, extrapyramidal disorder, adrenal insufficiency, and intracranial hemorrhage, were not labeled in the six countries. In conclusion, we identified new signals that were not known at the time of market approval. However, certain factors should be required for signal evaluation, such as clinical significance, preventability, and causality of the detected signals.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adverse Drug Reaction; Data Mining; Fluoxetine; KAERS Database; Pharmacovigilance; Signal; Spontaneous adverse event reporting

Mesh:

Substances:

Year:  2017        PMID: 28646789     DOI: 10.1016/j.psychres.2017.06.038

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


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