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Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections

BACKGROUND: Patients with complicated urinary tract infections (cUTIs) frequently receive broad-spectrum antibiotics. We aimed to determine the prevalence and predictive factors of multidrug-resistant gram-negative bacteria in patients with cUTI. METHODS: This is a multicenter, retrospective cohort...

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Autores principales: Gomila, Aina, Shaw, Evelyn, Carratalà, Jordi, Leibovici, Leonard, Tebé, Cristian, Wiegand, Irith, Vallejo-Torres, Laura, Vigo, Joan M., Morris, Stephen, Stoddart, Margaret, Grier, Sally, Vank, Christiane, Cuperus, Nienke, Van den Heuvel, Leonard, Eliakim-Raz, Noa, Vuong, Cuong, MacGowan, Alasdair, Addy, Ibironke, Pujol, Miquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137881/
https://www.ncbi.nlm.nih.gov/pubmed/30220999
http://dx.doi.org/10.1186/s13756-018-0401-6
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author Gomila, Aina
Shaw, Evelyn
Carratalà, Jordi
Leibovici, Leonard
Tebé, Cristian
Wiegand, Irith
Vallejo-Torres, Laura
Vigo, Joan M.
Morris, Stephen
Stoddart, Margaret
Grier, Sally
Vank, Christiane
Cuperus, Nienke
Van den Heuvel, Leonard
Eliakim-Raz, Noa
Vuong, Cuong
MacGowan, Alasdair
Addy, Ibironke
Pujol, Miquel
author_facet Gomila, Aina
Shaw, Evelyn
Carratalà, Jordi
Leibovici, Leonard
Tebé, Cristian
Wiegand, Irith
Vallejo-Torres, Laura
Vigo, Joan M.
Morris, Stephen
Stoddart, Margaret
Grier, Sally
Vank, Christiane
Cuperus, Nienke
Van den Heuvel, Leonard
Eliakim-Raz, Noa
Vuong, Cuong
MacGowan, Alasdair
Addy, Ibironke
Pujol, Miquel
author_sort Gomila, Aina
collection PubMed
description BACKGROUND: Patients with complicated urinary tract infections (cUTIs) frequently receive broad-spectrum antibiotics. We aimed to determine the prevalence and predictive factors of multidrug-resistant gram-negative bacteria in patients with cUTI. METHODS: This is a multicenter, retrospective cohort study in south and eastern Europe, Turkey and Israel including consecutive patients with cUTIs hospitalised between January 2013 and December 2014. Multidrug-resistance was defined as non-susceptibility to at least one agent in three or more antimicrobial categories. A mixed-effects logistic regression model was used to determine predictive factors of multidrug-resistant gram-negative bacteria cUTI. RESULTS: From 948 patients and 1074 microbiological isolates, Escherichia coli was the most frequent microorganism (559/1074), showing a 14.5% multidrug-resistance rate. Klebsiella pneumoniae was second (168/1074) and exhibited the highest multidrug-resistance rate (54.2%), followed by Pseudomonas aeruginosa (97/1074) with a 38.1% multidrug-resistance rate. Predictors of multidrug-resistant gram-negative bacteria were male gender (odds ratio [OR], 1.66; 95% confidence interval [CI], 1.20–2.29), acquisition of cUTI in a medical care facility (OR, 2.59; 95%CI, 1.80–3.71), presence of indwelling urinary catheter (OR, 1.44; 95%CI, 0.99–2.10), having had urinary tract infection within the previous year (OR, 1.89; 95%CI, 1.28–2.79) and antibiotic treatment within the previous 30 days (OR, 1.68; 95%CI, 1.13–2.50). CONCLUSIONS: The current high rate of multidrug-resistant gram-negative bacteria infections among hospitalised patients with cUTIs in the studied area is alarming. Our predictive model could be useful to avoid inappropriate antibiotic treatment and implement antibiotic stewardship policies that enhance the use of carbapenem-sparing regimens in patients at low risk of multidrug-resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0401-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-61378812018-09-15 Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections Gomila, Aina Shaw, Evelyn Carratalà, Jordi Leibovici, Leonard Tebé, Cristian Wiegand, Irith Vallejo-Torres, Laura Vigo, Joan M. Morris, Stephen Stoddart, Margaret Grier, Sally Vank, Christiane Cuperus, Nienke Van den Heuvel, Leonard Eliakim-Raz, Noa Vuong, Cuong MacGowan, Alasdair Addy, Ibironke Pujol, Miquel Antimicrob Resist Infect Control Research BACKGROUND: Patients with complicated urinary tract infections (cUTIs) frequently receive broad-spectrum antibiotics. We aimed to determine the prevalence and predictive factors of multidrug-resistant gram-negative bacteria in patients with cUTI. METHODS: This is a multicenter, retrospective cohort study in south and eastern Europe, Turkey and Israel including consecutive patients with cUTIs hospitalised between January 2013 and December 2014. Multidrug-resistance was defined as non-susceptibility to at least one agent in three or more antimicrobial categories. A mixed-effects logistic regression model was used to determine predictive factors of multidrug-resistant gram-negative bacteria cUTI. RESULTS: From 948 patients and 1074 microbiological isolates, Escherichia coli was the most frequent microorganism (559/1074), showing a 14.5% multidrug-resistance rate. Klebsiella pneumoniae was second (168/1074) and exhibited the highest multidrug-resistance rate (54.2%), followed by Pseudomonas aeruginosa (97/1074) with a 38.1% multidrug-resistance rate. Predictors of multidrug-resistant gram-negative bacteria were male gender (odds ratio [OR], 1.66; 95% confidence interval [CI], 1.20–2.29), acquisition of cUTI in a medical care facility (OR, 2.59; 95%CI, 1.80–3.71), presence of indwelling urinary catheter (OR, 1.44; 95%CI, 0.99–2.10), having had urinary tract infection within the previous year (OR, 1.89; 95%CI, 1.28–2.79) and antibiotic treatment within the previous 30 days (OR, 1.68; 95%CI, 1.13–2.50). CONCLUSIONS: The current high rate of multidrug-resistant gram-negative bacteria infections among hospitalised patients with cUTIs in the studied area is alarming. Our predictive model could be useful to avoid inappropriate antibiotic treatment and implement antibiotic stewardship policies that enhance the use of carbapenem-sparing regimens in patients at low risk of multidrug-resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0401-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-14 /pmc/articles/PMC6137881/ /pubmed/30220999 http://dx.doi.org/10.1186/s13756-018-0401-6 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
Gomila, Aina
Shaw, Evelyn
Carratalà, Jordi
Leibovici, Leonard
Tebé, Cristian
Wiegand, Irith
Vallejo-Torres, Laura
Vigo, Joan M.
Morris, Stephen
Stoddart, Margaret
Grier, Sally
Vank, Christiane
Cuperus, Nienke
Van den Heuvel, Leonard
Eliakim-Raz, Noa
Vuong, Cuong
MacGowan, Alasdair
Addy, Ibironke
Pujol, Miquel
Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
title Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
title_full Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
title_fullStr Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
title_full_unstemmed Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
title_short Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
title_sort predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137881/
https://www.ncbi.nlm.nih.gov/pubmed/30220999
http://dx.doi.org/10.1186/s13756-018-0401-6
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