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Clinical Prediction Score for Community-Onset Bloodstream Infections Caused by Extended-Spectrum Beta-Lactamase-Producing Escherichia coli and Kiebsiella Species

Cited 4 time in Web of Science Cited 5 time in Scopus
Authors

Kim, Moonsuk; Song, Kyoung-Ho; Kim, Chung-Jong; Choe, Pyoeng Gyun; Park, Wan Beom; Bang, Ji Hwan; Kim, Eu Suk; Park, Sang-Won; Kim, Nam Joong; Oh, Myoung-don; Kim, Hong Bin

Issue Date
2019-04
Publisher
대한의학회
Citation
Journal of Korean Medical Science, Vol.34 No.14, p. 3346
Abstract
Background: This study aimed to identify the predictors and build a prediction score for community-onset bloodstream infections (CO-BSIs) caused by extended-spectrum betalactamase (ESBL)-producing Escherichia coli and Klebsiella species. Methods: All CO-BSIs caused by E. coli and Klebsiella species from 2012 to 2015 were grouped into derivation (BSIs from 2012 to 2014) and validation (BSIs in 2015) cohorts. A prediction score was built using the coefficients of the multivariate logistic regression model from the derivation cohort. Results: The study included 886 CO-BSIs (594 and 292 in the derivation and validation cohorts, respectively). The independent predictors of CO-BSIs caused by ESBL-producing E. coil and Klebsiella species included: 1) identification of ESBL-producing microorganisms from any clinical culture within one year of admission, 2) beta-lactam or fluoroquinolone treatment within 30 days (with 2 or more courses within 90 days; with 1 course within 90 days), 3) hospitalization within one year, 4) the presence of an indwelling urinary catheter at the time of admission. The area under the curve (AUC) of the clinical prediction score was 0.72 (95% confidence interval [CI], 0.68-0.77). In the validation cohort, the AUC was 0.70 (95% CI, 0.63-0.77). Conclusions: The results of this study suggest a simple and easy-to-use scoring system to predict CO-BSIs caused by ESBL-producing E. coli and Klebsiella species.
ISSN
1011-8934
URI
https://hdl.handle.net/10371/199648
DOI
https://doi.org/10.3346/jkms.2019.34.e116
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  • College of Medicine
  • Department of Medicine
Research Area Immunology, Infectious Diseases, Vaccination

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