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Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens

BACKGROUND: Treatment duration, treatment interval, formulation and type of antimicrobial (antibiotic) are modifiable factors that will influence antimicrobial selection pressure. Currently, the impact of the route of administration on the occurrence of resistance in humans is unclear. METHODS: In t...

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Autores principales: Catry, Boudewijn, Latour, Katrien, Bruyndonckx, Robin, Diba, Camellia, Geerdens, Candida, Coenen, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006702/
https://www.ncbi.nlm.nih.gov/pubmed/29946451
http://dx.doi.org/10.1186/s13756-018-0368-3
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author Catry, Boudewijn
Latour, Katrien
Bruyndonckx, Robin
Diba, Camellia
Geerdens, Candida
Coenen, Samuel
author_facet Catry, Boudewijn
Latour, Katrien
Bruyndonckx, Robin
Diba, Camellia
Geerdens, Candida
Coenen, Samuel
author_sort Catry, Boudewijn
collection PubMed
description BACKGROUND: Treatment duration, treatment interval, formulation and type of antimicrobial (antibiotic) are modifiable factors that will influence antimicrobial selection pressure. Currently, the impact of the route of administration on the occurrence of resistance in humans is unclear. METHODS: In this retrospective multi-center cohort study, we assessed the impact of different variables on antimicrobial resistance (AMR) in pathogens isolated from the urinary tract in older adults. A generalized estimating equations (GEE) model was constructed using 7397 Escherichia coli (E. coli) isolates. RESULTS: Resistance in E. coli was higher when more antibiotics had been prescribed before isolation of the sample, especially in women (significant interaction p = 0.0016) and up to nine preceding prescriptions it was lower for higher proportions of preceding parenteral prescriptions (significant interactions p = 0.0067). The laboratory identity, dying, and the time between prescription and sampling were important confounders (p < 0.001). CONCLUSIONS: Our model describing shows a dose-response relation between antibiotic use and AMR in E. coli isolated from urine samples of older adults, and, for the first time, that higher proportions of preceding parenteral prescriptions are significantly associated with lower probabilities of AMR, provided that the number of preceding prescriptions is not extremely high (≥10 during the 1.5 year observation period; 93% of 5650 included patients). TRIAL REGISTRATION: Retrospectively registered. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0368-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-60067022018-06-26 Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens Catry, Boudewijn Latour, Katrien Bruyndonckx, Robin Diba, Camellia Geerdens, Candida Coenen, Samuel Antimicrob Resist Infect Control Research BACKGROUND: Treatment duration, treatment interval, formulation and type of antimicrobial (antibiotic) are modifiable factors that will influence antimicrobial selection pressure. Currently, the impact of the route of administration on the occurrence of resistance in humans is unclear. METHODS: In this retrospective multi-center cohort study, we assessed the impact of different variables on antimicrobial resistance (AMR) in pathogens isolated from the urinary tract in older adults. A generalized estimating equations (GEE) model was constructed using 7397 Escherichia coli (E. coli) isolates. RESULTS: Resistance in E. coli was higher when more antibiotics had been prescribed before isolation of the sample, especially in women (significant interaction p = 0.0016) and up to nine preceding prescriptions it was lower for higher proportions of preceding parenteral prescriptions (significant interactions p = 0.0067). The laboratory identity, dying, and the time between prescription and sampling were important confounders (p < 0.001). CONCLUSIONS: Our model describing shows a dose-response relation between antibiotic use and AMR in E. coli isolated from urine samples of older adults, and, for the first time, that higher proportions of preceding parenteral prescriptions are significantly associated with lower probabilities of AMR, provided that the number of preceding prescriptions is not extremely high (≥10 during the 1.5 year observation period; 93% of 5650 included patients). TRIAL REGISTRATION: Retrospectively registered. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0368-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-18 /pmc/articles/PMC6006702/ /pubmed/29946451 http://dx.doi.org/10.1186/s13756-018-0368-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Catry, Boudewijn
Latour, Katrien
Bruyndonckx, Robin
Diba, Camellia
Geerdens, Candida
Coenen, Samuel
Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
title Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
title_full Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
title_fullStr Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
title_full_unstemmed Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
title_short Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
title_sort characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006702/
https://www.ncbi.nlm.nih.gov/pubmed/29946451
http://dx.doi.org/10.1186/s13756-018-0368-3
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