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

dc.contributor.authorGomila Grange, Aina
dc.contributor.authorShaw Perujo, Evelyn
dc.contributor.authorCarratalà, Jordi
dc.contributor.authorLeibovici, Leonard
dc.contributor.authorTebé, Cristian
dc.contributor.authorWiegand, Irith
dc.contributor.authorVallejo Torres, Laura
dc.contributor.authorVigo, Joan M.
dc.contributor.authorMorris, S. (Stephen), 1971-
dc.contributor.authorStoddart, Margaret
dc.contributor.authorGrier, Sally
dc.contributor.authorVank, Christiane
dc.contributor.authorCuperus, Nienke
dc.contributor.authorvan den Heuvel, Leonard
dc.contributor.authorEliakim-Raz, Noa
dc.contributor.authorVuong, Cuong
dc.contributor.authorMacGowan, Alasdair
dc.contributor.authorAddy, Ibironke
dc.contributor.authorPujol Rojo, Miquel
dc.date.accessioned2019-06-21T11:47:45Z
dc.date.available2019-06-21T11:47:45Z
dc.date.issued2018-09-14
dc.date.updated2019-06-21T11:47:46Z
dc.description.abstractBackground: 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.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec683312
dc.identifier.issn2047-2994
dc.identifier.urihttps://hdl.handle.net/2445/135762
dc.language.isoeng
dc.publisherBioMed Central
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1186/s13756-018-0401-6
dc.relation.ispartofAntimicrobial Resistance and Infection Control, 2018, vol. 7, num. 111
dc.relation.urihttps://doi.org/10.1186/s13756-018-0401-6
dc.rightscc-by (c) Gomila, Aina et al., 2018
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Ciències Clíniques)
dc.subject.classificationResistència als medicaments
dc.subject.classificationInfeccions del tracte urinari
dc.subject.classificationMalalts hospitalitzats
dc.subject.otherDrug resistance
dc.subject.otherUrinary tract infections
dc.subject.otherHospital patients
dc.titlePredictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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