Evidence map›Paper›PMID 39588207›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2024

The clinical usefulness of guideline-based strategies with and without the role of nonspecific symptoms to predict urinary tract infections in nursing homes: a decision curve analysis.

Sacha Kuil, Menno de Jong, Caroline Schneeberger, Frank van Leth

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Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Sacha KuilAmsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam Infection & Immunity Institute, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-1374-6947
Menno de JongAmsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam Infection & Immunity Institute, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-8380-4738
Caroline SchneebergerAmsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam Infection & Immunity Institute, Amsterdam, The Netherlands.
Frank van LethDepartment of Health Sciences, Vrije Universiteit, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-5490-8968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to assess the clinical value of urinary tract infections (UTIs) guideline algorithms and the role of nonspecific symptoms to support clinical decision-making in nursing home residents. Design: In a preplanned secondary analysis of a cross-sectional study including nursing home residents with a presumed UTI, 2 prediction models were used in a decision curve analysis (DCA): (1) guideline-based and (2) extended: nonspecific symptom(s) added to the guideline model. The stringent outcome definition for "true UTIs" included symptom improvement during adequate antimicrobial therapy, based on susceptibility test results. The outcome of a DCA is the Net Benefit to quantify the performance of the prediction models, visualized in a decision curve. Setting: Dutch nursing homes (n = 13). Patients: Nursing home residents with a presumed UTI. Results: Of the 180 residents with a presumed UTI, 43 fulfilled the definition of "true UTI" (23.9%). The Net Benefit of the guideline-based model was low and the corresponding threshold range was small (21%-28%). The extended model improved the prediction of UTIs. However, the clinical usefulness of the extended model was still limited to a small threshold range (10%-28%). Conclusions: The clinical usefulness of the current guideline-based algorithm to diagnose UTI in nursing home residents seems limited, and adding nonspecific symptoms does not further improve decision-making due to the small threshold probability. Given the poor performance of the guideline-based model, refinement of the guidelines may be required. Trial registry: Dutch trial registry: NTR6467; date of first registration, 25/05/2017.

Identifiers

PMID39588207
PMCPMC11588415

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