Cargando…

Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow)

Antibacterial drugs are a widely used drug class due to the frequency of infectious diseases globally. Risks knowledge should ground these medicines’ selection. Data mining in large databases is essential to identify early safety signals and to support pharmacovigilance systems. We conducted a cross...

Descripción completa

Detalles Bibliográficos
Autores principales: Barbosa, Luiza Hoehl Loureiro Alves, Silva, Alice Ramos Oliveira, Carvalho-Assef, Ana Paula D’Alincourt, Lima, Elisangela Costa, da Silva, Fabricio Alves Barbosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530932/
https://www.ncbi.nlm.nih.gov/pubmed/36204235
http://dx.doi.org/10.3389/fphar.2022.948339
_version_ 1784801792661389312
author Barbosa, Luiza Hoehl Loureiro Alves
Silva, Alice Ramos Oliveira
Carvalho-Assef, Ana Paula D’Alincourt
Lima, Elisangela Costa
da Silva, Fabricio Alves Barbosa
author_facet Barbosa, Luiza Hoehl Loureiro Alves
Silva, Alice Ramos Oliveira
Carvalho-Assef, Ana Paula D’Alincourt
Lima, Elisangela Costa
da Silva, Fabricio Alves Barbosa
author_sort Barbosa, Luiza Hoehl Loureiro Alves
collection PubMed
description Antibacterial drugs are a widely used drug class due to the frequency of infectious diseases globally. Risks knowledge should ground these medicines’ selection. Data mining in large databases is essential to identify early safety signals and to support pharmacovigilance systems. We conducted a cross-sectional study to assess adverse drug events related to antibiotics reporting between December 2018 and December 2021 in the Brazilian database (Vigimed/VigiFlow). We used the Reporting Odds Ratio (ROR) disproportionality analysis method to identify disproportionate reporting signals (SDR), referring to statistical combinations between drugs and adverse events. Vancomycin was the most reported antibiotic (n = 1,733), followed by ceftriaxone (n = 1,277) and piperacillin and tazobactam (n = 1,024). We detected 294 safety signals related to antibacterials. We identified azithromycin leading in the number of safety signals (n = 49), followed by polymyxin B (n = 25). Of these, 95 were not provided for in the drug label and had little or no reports in the medical literature. Three serious events are associated with ceftazidime and avibactam, a new drug in the Brazilian market. We also found suicide attempts as a sign associated with amoxicillin/clavulanate. Gait disturbance, a worrying event, especially in the elderly, was associated with azithromycin. Our findings may help guide further pharmacoepidemiologic studies and monitoring safety signals in pharmacovigilance.
format Online
Article
Text
id pubmed-9530932
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95309322022-10-05 Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow) Barbosa, Luiza Hoehl Loureiro Alves Silva, Alice Ramos Oliveira Carvalho-Assef, Ana Paula D’Alincourt Lima, Elisangela Costa da Silva, Fabricio Alves Barbosa Front Pharmacol Pharmacology Antibacterial drugs are a widely used drug class due to the frequency of infectious diseases globally. Risks knowledge should ground these medicines’ selection. Data mining in large databases is essential to identify early safety signals and to support pharmacovigilance systems. We conducted a cross-sectional study to assess adverse drug events related to antibiotics reporting between December 2018 and December 2021 in the Brazilian database (Vigimed/VigiFlow). We used the Reporting Odds Ratio (ROR) disproportionality analysis method to identify disproportionate reporting signals (SDR), referring to statistical combinations between drugs and adverse events. Vancomycin was the most reported antibiotic (n = 1,733), followed by ceftriaxone (n = 1,277) and piperacillin and tazobactam (n = 1,024). We detected 294 safety signals related to antibacterials. We identified azithromycin leading in the number of safety signals (n = 49), followed by polymyxin B (n = 25). Of these, 95 were not provided for in the drug label and had little or no reports in the medical literature. Three serious events are associated with ceftazidime and avibactam, a new drug in the Brazilian market. We also found suicide attempts as a sign associated with amoxicillin/clavulanate. Gait disturbance, a worrying event, especially in the elderly, was associated with azithromycin. Our findings may help guide further pharmacoepidemiologic studies and monitoring safety signals in pharmacovigilance. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9530932/ /pubmed/36204235 http://dx.doi.org/10.3389/fphar.2022.948339 Text en Copyright © 2022 Barbosa, Silva, Carvalho-Assef, Lima and da Silva. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Barbosa, Luiza Hoehl Loureiro Alves
Silva, Alice Ramos Oliveira
Carvalho-Assef, Ana Paula D’Alincourt
Lima, Elisangela Costa
da Silva, Fabricio Alves Barbosa
Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow)
title Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow)
title_full Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow)
title_fullStr Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow)
title_full_unstemmed Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow)
title_short Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow)
title_sort potential safety signals for antibacterial agents from the brazilian national pharmacovigilance database (vigimed/vigiflow)
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530932/
https://www.ncbi.nlm.nih.gov/pubmed/36204235
http://dx.doi.org/10.3389/fphar.2022.948339
work_keys_str_mv AT barbosaluizahoehlloureiroalves potentialsafetysignalsforantibacterialagentsfromthebraziliannationalpharmacovigilancedatabasevigimedvigiflow
AT silvaaliceramosoliveira potentialsafetysignalsforantibacterialagentsfromthebraziliannationalpharmacovigilancedatabasevigimedvigiflow
AT carvalhoassefanapauladalincourt potentialsafetysignalsforantibacterialagentsfromthebraziliannationalpharmacovigilancedatabasevigimedvigiflow
AT limaelisangelacosta potentialsafetysignalsforantibacterialagentsfromthebraziliannationalpharmacovigilancedatabasevigimedvigiflow
AT dasilvafabricioalvesbarbosa potentialsafetysignalsforantibacterialagentsfromthebraziliannationalpharmacovigilancedatabasevigimedvigiflow