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Original Research

Risk factors and prognosis of complicated urinary tract infections caused by Pseudomonas aeruginosa in hospitalized patients: a retrospective multicenter cohort study

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Pages 2571-2581 | Published online: 18 Dec 2018

Figures & data

Table 1 Epidemiological characteristics and outcomes of episodes of Pseudomonas aeruginosa cUTI and cUTI due to other etiologies

Table 2 Microbiological features of cUTI episodes with or without Pseudomonas aeruginosa

Table 3 Antibiotic-resistance profile of Pseudomonas aeruginosa complicated urinary tractinfection episodes (n=97)

Table 4 Predictive factors of Pseudomonas aeruginosa complicated urinary tractinfection episodes: mixed-effect logistic regression model

Figure 1 Prevalence with 95% CIs of Pseudomonas aeruginosa complicated urinary tract-infection episodes by centers (A–R) and countries.

Figure 1 Prevalence with 95% CIs of Pseudomonas aeruginosa complicated urinary tract-infection episodes by centers (A–R) and countries.

Table 5 Predictive factors of multidrug-resistant Pseudomonas aeruginosa: mixed-effect logistic regression model

Figure 2 Prevalence with 95% CIs of multidrug-resistant Pseudomonas aeruginosa complicated urinary tract infection by country.

Figure 2 Prevalence with 95% CIs of multidrug-resistant Pseudomonas aeruginosa complicated urinary tract infection by country.

Table 6 Outcomes of episodes of Pseudomonas aeruginosa cUTI and episodes of cUTI caused by other etiologies

Table S1 Univariate analysis of risk factors associated with MDR Pseudomonas aeruginosa cUTI compared to non-MDR P. aeruginosa cUTI, accounting for country effect

Table S2 ICD9 data

Table S3 ICD data