A meta-analytic perspective on Arcobacter spp. antibiotic resistance

Detalhes bibliográficos
Autor(a) principal: Ferreira, Susana
Data de Publicação: 2019
Outros Autores: Luís, Ângelo, Oleastro, Mónica, Pereira, L., Domingues, F.C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/8811
Resumo: Objectives: Over the years, an increased prevalence of resistant strains of Arcobacter has been observed, which may be due to Arcobacter exposure to antibiotics used both in animal production and human medicine. A systematic review was performed with the objective of summarising the results of the rates of antimicrobial resistance of Arcobacter isolates. Methods: The systematic review was performed according to PRISMA (Preferred Reported Items for Systematic Reviews and Meta-Analysis) recommendations, followed by meta-analysis. Results: It was observed that the resistance rate ranged between 69.3-99.2% for penicillins and 30.5-97.4% for cephalosporins. The overall percentage of resistance to fluoroquinolones ranged from 4.3% to 14.0%, with the highest resistance percentage observed for levofloxacin. Resistance rates ranged between 10.7-39.8% for macrolides, 1.8-12.9% for aminoglycosides and 0.8-7.1% for tetracyclines. Conclusions: These results show that Arcobacter spp. present resistance to various antibiotics commonly used and advocate further studies of the associated resistance mechanisms.
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spelling A meta-analytic perspective on Arcobacter spp. antibiotic resistanceAntimicrobial resistanceArcobacterMeta-analysisSystematic reviewObjectives: Over the years, an increased prevalence of resistant strains of Arcobacter has been observed, which may be due to Arcobacter exposure to antibiotics used both in animal production and human medicine. A systematic review was performed with the objective of summarising the results of the rates of antimicrobial resistance of Arcobacter isolates. Methods: The systematic review was performed according to PRISMA (Preferred Reported Items for Systematic Reviews and Meta-Analysis) recommendations, followed by meta-analysis. Results: It was observed that the resistance rate ranged between 69.3-99.2% for penicillins and 30.5-97.4% for cephalosporins. The overall percentage of resistance to fluoroquinolones ranged from 4.3% to 14.0%, with the highest resistance percentage observed for levofloxacin. Resistance rates ranged between 10.7-39.8% for macrolides, 1.8-12.9% for aminoglycosides and 0.8-7.1% for tetracyclines. Conclusions: These results show that Arcobacter spp. present resistance to various antibiotics commonly used and advocate further studies of the associated resistance mechanisms.Bank Santander-Totta [reference BIPD/ICI-FC-BST-UBI 2016].uBibliorumFerreira, SusanaLuís, ÂngeloOleastro, MónicaPereira, L.Domingues, F.C.2020-01-28T15:09:41Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8811eng10.1016/j.jgar.2018.12.018metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-15T09:49:08Zoai:ubibliorum.ubi.pt:10400.6/8811Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:49:04.040007Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A meta-analytic perspective on Arcobacter spp. antibiotic resistance
title A meta-analytic perspective on Arcobacter spp. antibiotic resistance
spellingShingle A meta-analytic perspective on Arcobacter spp. antibiotic resistance
Ferreira, Susana
Antimicrobial resistance
Arcobacter
Meta-analysis
Systematic review
title_short A meta-analytic perspective on Arcobacter spp. antibiotic resistance
title_full A meta-analytic perspective on Arcobacter spp. antibiotic resistance
title_fullStr A meta-analytic perspective on Arcobacter spp. antibiotic resistance
title_full_unstemmed A meta-analytic perspective on Arcobacter spp. antibiotic resistance
title_sort A meta-analytic perspective on Arcobacter spp. antibiotic resistance
author Ferreira, Susana
author_facet Ferreira, Susana
Luís, Ângelo
Oleastro, Mónica
Pereira, L.
Domingues, F.C.
author_role author
author2 Luís, Ângelo
Oleastro, Mónica
Pereira, L.
Domingues, F.C.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Ferreira, Susana
Luís, Ângelo
Oleastro, Mónica
Pereira, L.
Domingues, F.C.
dc.subject.por.fl_str_mv Antimicrobial resistance
Arcobacter
Meta-analysis
Systematic review
topic Antimicrobial resistance
Arcobacter
Meta-analysis
Systematic review
description Objectives: Over the years, an increased prevalence of resistant strains of Arcobacter has been observed, which may be due to Arcobacter exposure to antibiotics used both in animal production and human medicine. A systematic review was performed with the objective of summarising the results of the rates of antimicrobial resistance of Arcobacter isolates. Methods: The systematic review was performed according to PRISMA (Preferred Reported Items for Systematic Reviews and Meta-Analysis) recommendations, followed by meta-analysis. Results: It was observed that the resistance rate ranged between 69.3-99.2% for penicillins and 30.5-97.4% for cephalosporins. The overall percentage of resistance to fluoroquinolones ranged from 4.3% to 14.0%, with the highest resistance percentage observed for levofloxacin. Resistance rates ranged between 10.7-39.8% for macrolides, 1.8-12.9% for aminoglycosides and 0.8-7.1% for tetracyclines. Conclusions: These results show that Arcobacter spp. present resistance to various antibiotics commonly used and advocate further studies of the associated resistance mechanisms.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2020-01-28T15:09:41Z
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