Open AccessFactors associated with specific uropathogens in catheter-associated urinary tract infection: Developing a clinical prediction model
Author(s) -
Won Sup Oh,
Ji An Hur,
Eu Suk Kim,
Kyung Hwa Park,
Hee Kyoung Choi,
Chisook Moon,
Baek-Nam Kim
Publication year - 2014
Publication title -
journal of international medical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 57
eISSN - 1473-2300
pISSN - 0300-0605
DOI - 10.1177/0300060514543035
Subject(s) - medicine , logistic regression , urinary system , pseudomonas aeruginosa , enterococcus , univariate analysis , klebsiella , microbiology and biotechnology , gastroenterology , escherichia coli , multivariate analysis , bacteria , antibiotics , biology , biochemistry , genetics , gene
Objectives To identify characteristics associated with particular groups of uropathogens in catheter-associated urinary tract infection (CA–UTI) and to develop clinical prediction rules for identifying these groups.Methods Demographic, clinical and microbiological data were analysed from patients with CA–UTI. Infections were categorized into enteric Gram-negative rods, nonfermenters, Gram-positive cocci and fungal. Variables were analysed using univariate and multiple logistic regression analyses, and were used to develop clinical prediction rules.Results A total of 492 patients were included in the study. Candida species were the most common uropathogens (30.7%), followed by enterococci (17.3%), Escherichia coli (12.0%), Pseudomonas spp. (10.8%), Klebsiella spp. (7.9%) and staphylococci (6.5%). Clinical prediction rules for the bacterial uropathogenic groups showed poor-to-fair discriminatory power, with sensitivities of 90%. However, clinical prediction rules showed good discriminatory power for fungal infections, with a sensitivity of 67.3% and a specificity of 78.1%.Conclusions Clinical prediction rules developed for identifying specific groups of bacterial uropathogens in patients with CA–UTI had a low sensitivity, whereas those for fungal infections showed good discriminatory power. Further studies to develop more refined and sensitive tools for predicting specific bacterial uropathogens in CA–UTI are warranted.