Diagnosis and management for urosepsis-Reference-Cited by-同舟云学术

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Diagnosis and management for urosepsis

Published:2013-05-29 Issue: Volume: Page:n/a-n/a
ISSN:0919-8172
Container-title:International Journal of Urology
language:en
Short-container-title:Int J Urol

Author:

Wagenlehner Florian ME¹,Lichtenstern Christoph²,Rolfes Caroline³,Mayer Konstantin⁴,Uhle Florian²,Weidner Wolfgang¹,Weigand Markus A²

Affiliation:

1. Clinic of Urology; Pediatric Urology and Andrology; Justus-Liebig-University Gießen; Giessen; Germany

2. Clinic of Anesthesiology and Surgical Intensive Care Medicine; Justus-Liebig-University Gießen; Giessen; Germany

3. Clinic of Anesthesiology and Surgical Intensive Care Medicine; Phillips-University; Marburg; Germany

4. Clinic of Medicine II; Justus-Liebig-University Gießen; Giessen; Germany

Publisher

Wiley

Subject

Urology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/iju.12200/fullpdf

Reference46 articles.

1. Outcomes of the Surviving Sepsis Campaign in intensive care units in the USA and Europe: a prospective cohort study;Levy;Lancet Infect. Dis.,2012

2. Ciprofloxacin 250 mg twice daily versus ofloxacin 200 mg twice daily in the treatment of complicated urinary tract infections in women;Raz;Eur. J. Clin. Microbiol. Infect. Dis.,2000

3. Prevalence of hospital-acquired urinary tract infections in urology departments;Bjerklund Johansen;Eur. Urol.,2007

4. A European perspective on nosocomial urinary tract infections II. Report on incidence, clinical characteristics and outcome (ESGNI-004 study). European Study Group on Nosocomial Infection;Bouza;Clin. Microbiol. Infect.,2001

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1. Herbal products versus antibiotics for urinary tract infections-analysis of patient attitudes;Journal of Herbal Medicine;2024-08

2. Iron limitation induces motility in uropathogenic E. coli CFT073 partially through action of LpdA;mBio;2024-07-17

3. Scientific Advances in Understanding the Pathogenesis, Diagnosis, and Prevention of Urinary Tract Infection in the Past 10 Years;Infectious Disease Clinics of North America;2024-06

4. Machine learning for the prediction of urosepsis using electronic health record data;2024-05-28

5. Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity;Experimental and Therapeutic Medicine;2024-05-21

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