Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/135762
Title: Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
Author: Gomila, Aina
Shaw, Evelyn
Carratalà, Jordi
Leibovici, Leonard
Tebé, Cristian
Wiegand, Irith
Vallejo Torres, Laura
Vigo, Joan M.
Morris, S. (Stephen), 1971-
Stoddart, Margaret
Grier, Sally
Vank, Christiane
Cuperus, Nienke
Van den Heuvel, Leonard
Eliakim Raz, Noa
Vuong, Cuong
MacGowan, Alasdair
Addy, Ibironke
Pujol Rojo, Miquel
Keywords: Resistència als medicaments
Infeccions del tracte urinari
Malalts hospitalitzats
Drug resistance
Urinary tract infections
Hospital patients
Issue Date: 14-Sep-2018
Publisher: BioMed Central
Abstract: 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.
Note: Reproducció del document publicat a: https://doi.org/10.1186/s13756-018-0401-6
It is part of: Antimicrobial Resistance and Infection Control, 2018, vol. 7, num. 111
URI: http://hdl.handle.net/2445/135762
Related resource: https://doi.org/10.1186/s13756-018-0401-6
ISSN: 2047-2994
Appears in Collections:Articles publicats en revistes (Ciències Clíniques)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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