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A diagnostic algorithm for detection of urinary tract infections in hospitalized patients with bacteriuria: The “Triple F” approach supported by Procalcitonin and paired blood and urine cultures
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Kathrin Rothe ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft
* E-mail: kathrin.rothe@tum.de
Affiliation Institute for Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich, Munich, Germany
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Christoph D. Spinner,
Roles Investigation, Supervision, Validation, Writing – review & editing
Affiliation Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany
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Birgit Waschulzik,
Roles Formal analysis, Software, Visualization
Affiliation Institute of Medical Informatics, Statistics and Epidemiology, School of Medicine, Technical University of Munich, Munich, Germany
⨯ - Christian Janke,
- Jochen Schneider,
- Heike Schneider,
- Krischan Braitsch,
- Christopher Smith,
- Roland M. Schmid,
- Dirk H. Busch,
- Juri Katchanov
https://orcid.org/0000-0002-8293-5832
A diagnostic algorithm for detection of urinary tract infections in hospitalized patients with bacteriuria: The “Triple F” approach supported by Procalcitonin and paired blood and urine cultures
- Kathrin Rothe,
- Christoph D. Spinner,
- Birgit Waschulzik,
- Christian Janke,
- Jochen Schneider,
- Heike Schneider,
- Krischan Braitsch,
- Christopher Smith,
- Roland M. Schmid,
- Dirk H. Busch
- Published: October 22, 2020
- https://doi.org/10.1371/journal.pone.0240981