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

Authors :
Aina Gomila
Evelyn Shaw
Jordi Carratalà
Leonard Leibovici
Cristian Tebé
Irith Wiegand
Laura Vallejo-Torres
Joan M. Vigo
Stephen Morris
Margaret Stoddart
Sally Grier
Christiane Vank
Nienke Cuperus
Leonard Van den Heuvel
Noa Eliakim-Raz
Cuong Vuong
Alasdair MacGowan
Ibironke Addy
Miquel Pujol
on behalf of COMBACTE-MAGNET WP5- RESCUING Study
Source :
Antimicrobial Resistance and Infection Control, Vol 7, Iss 1, Pp 1-11 (2018)
Publication Year :
2018
Publisher :
BMC, 2018.

Abstract

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.

Details

Language :
English
ISSN :
20472994
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Antimicrobial Resistance and Infection Control
Publication Type :
Academic Journal
Accession number :
edsdoj.8c84a44d9064ab093b97ea365ca6f9e
Document Type :
article
Full Text :
https://doi.org/10.1186/s13756-018-0401-6