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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

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 retro...

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Autores principales: Rothe, Kathrin, Spinner, Christoph D., Waschulzik, Birgit, Janke, Christian, Schneider, Jochen, Schneider, Heike, Braitsch, Krischan, Smith, Christopher, Schmid, Roland M., Busch, Dirk H., Katchanov, Juri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580978/
https://www.ncbi.nlm.nih.gov/pubmed/33091046
http://dx.doi.org/10.1371/journal.pone.0240981
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author Rothe, Kathrin
Spinner, Christoph D.
Waschulzik, Birgit
Janke, Christian
Schneider, Jochen
Schneider, Heike
Braitsch, Krischan
Smith, Christopher
Schmid, Roland M.
Busch, Dirk H.
Katchanov, Juri
author_facet Rothe, Kathrin
Spinner, Christoph D.
Waschulzik, Birgit
Janke, Christian
Schneider, Jochen
Schneider, Heike
Braitsch, Krischan
Smith, Christopher
Schmid, Roland M.
Busch, Dirk H.
Katchanov, Juri
author_sort Rothe, Kathrin
collection PubMed
description 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 hospital between October 2013 and September 2018 who met the following inclusion criteria: Suspected UTI with simultaneous collection of paired urinary cultures and blood cultures (PUB) and determination of Procalcitonin (PCT). We sought to develop a simple algorithm based on clinical signs and PCT for the management of suspected UTI. Individual patient presentations were retrospectively evaluated by a clinical “triple F” algorithm (F1 =“fever”, F2 =“failure”, F3 =“focus”) supported by PCT and PUB. We identified 183 ED patients meeting the inclusion criteria. We introduced the term UTI with systemic involvement (SUTI) with three degrees of diagnostic certainty: bacteremic UTI (24.0%; 44/183), probable SUTI (14.2%; 26/183) and possible SUTI (27.9%; 51/183). In bacteremic UTI, half of patients (54.5%; 24/44) presented without genitourinary symptoms. Discordant bacteraemia was diagnosed in 16 patients (24.6% of all bacteremic patients). An alternative focus was identified in 67 patients, five patients presented with S. aureus bacteremia. 62 patients were diagnosed with possible UTI (n = 20) or ABU (n = 42). Using the proposed “triple F” algorithm, dichotomised PCT of < 0.25 pg/ml had a negative predictive value of 88.7% and 96.2% for bacteraemia und accordant bacteraemia respectively. The application of the algorithm to our cohort could have resulted in 33.3% reduction of BCs. Using the diagnostic categories “possible” or “probable” SUTI as a trigger for initiation of antimicrobial treatment would have reduced or streamlined antimicrobial use in 30.6% and 58.5% of cases, respectively. In conclusion, the “3F” algorithm supported by PCT and PUB is a promising diagnostic and antimicrobial stewardship tool.
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spelling pubmed-75809782020-10-27 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 Rothe, Kathrin Spinner, Christoph D. Waschulzik, Birgit Janke, Christian Schneider, Jochen Schneider, Heike Braitsch, Krischan Smith, Christopher Schmid, Roland M. Busch, Dirk H. Katchanov, Juri PLoS One Research Article 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 hospital between October 2013 and September 2018 who met the following inclusion criteria: Suspected UTI with simultaneous collection of paired urinary cultures and blood cultures (PUB) and determination of Procalcitonin (PCT). We sought to develop a simple algorithm based on clinical signs and PCT for the management of suspected UTI. Individual patient presentations were retrospectively evaluated by a clinical “triple F” algorithm (F1 =“fever”, F2 =“failure”, F3 =“focus”) supported by PCT and PUB. We identified 183 ED patients meeting the inclusion criteria. We introduced the term UTI with systemic involvement (SUTI) with three degrees of diagnostic certainty: bacteremic UTI (24.0%; 44/183), probable SUTI (14.2%; 26/183) and possible SUTI (27.9%; 51/183). In bacteremic UTI, half of patients (54.5%; 24/44) presented without genitourinary symptoms. Discordant bacteraemia was diagnosed in 16 patients (24.6% of all bacteremic patients). An alternative focus was identified in 67 patients, five patients presented with S. aureus bacteremia. 62 patients were diagnosed with possible UTI (n = 20) or ABU (n = 42). Using the proposed “triple F” algorithm, dichotomised PCT of < 0.25 pg/ml had a negative predictive value of 88.7% and 96.2% for bacteraemia und accordant bacteraemia respectively. The application of the algorithm to our cohort could have resulted in 33.3% reduction of BCs. Using the diagnostic categories “possible” or “probable” SUTI as a trigger for initiation of antimicrobial treatment would have reduced or streamlined antimicrobial use in 30.6% and 58.5% of cases, respectively. In conclusion, the “3F” algorithm supported by PCT and PUB is a promising diagnostic and antimicrobial stewardship tool. Public Library of Science 2020-10-22 /pmc/articles/PMC7580978/ /pubmed/33091046 http://dx.doi.org/10.1371/journal.pone.0240981 Text en © 2020 Rothe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rothe, Kathrin
Spinner, Christoph D.
Waschulzik, Birgit
Janke, Christian
Schneider, Jochen
Schneider, Heike
Braitsch, Krischan
Smith, Christopher
Schmid, Roland M.
Busch, Dirk H.
Katchanov, Juri
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580978/
https://www.ncbi.nlm.nih.gov/pubmed/33091046
http://dx.doi.org/10.1371/journal.pone.0240981
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