| Title |
Predictive factors for multidrug-resistant gram-negative bacteria among hospitalised patients with complicated urinary tract infections
|
|---|---|
| Published in |
Antimicrobial Resistance & Infection Control, September 2018
|
| DOI | 10.1186/s13756-018-0401-6 |
| Pubmed ID | |
| 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 |
| Abstract |
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. 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. 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). 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. |
X Demographics
The data shown below were collected from the profiles of 51 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 16% |
| Chile | 3 | 6% |
| United Kingdom | 3 | 6% |
| South Africa | 3 | 6% |
| United States | 3 | 6% |
| France | 2 | 4% |
| Canada | 2 | 4% |
| Malaysia | 1 | 2% |
| Japan | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 22 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 78% |
| Practitioners (doctors, other healthcare professionals) | 6 | 12% |
| Scientists | 4 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 14% |
| Student > Master | 17 | 12% |
| Student > Bachelor | 14 | 10% |
| Student > Postgraduate | 13 | 9% |
| Other | 10 | 7% |
| Other | 24 | 17% |
| Unknown | 46 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 26% |
| Immunology and Microbiology | 10 | 7% |
| Biochemistry, Genetics and Molecular Biology | 9 | 6% |
| Agricultural and Biological Sciences | 9 | 6% |
| Nursing and Health Professions | 8 | 6% |
| Other | 21 | 14% |
| Unknown | 50 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 March 2021.
All research outputs
#846,240
of 25,757,133 outputs
Outputs from Antimicrobial Resistance & Infection Control
#66
of 1,479 outputs
Outputs of similar age
#17,792
of 349,193 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#5
of 35 outputs
Altmetric has tracked 25,757,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,479 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done particularly well, scoring higher than 95% of its peers.
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We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.