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A diagnostic algorithm for detection of urinary tract infections in hospitalized patients with bacte...

A diagnostic algorithm for detection of urinary tract infections in hospitalized patients with bacte...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2453675593

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

About this item

Full title

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

Publisher

United States: Public Library of Science

Journal title

PloS one, 2020-10, Vol.15 (10), p.e0240981-e0240981

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

For acute medicine physicians, distinguishing between asymptomatic bacteriuria (ABU) and clinically relevant urinary tract infections (UTI) is challenging, resulting in overtreatment of ABU and under-recognition of urinary-source bacteraemia without genitourinary symptoms (USB). We conducted a retrospective analysis of ED encounters in a university...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2453675593

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2453675593

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0240981

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