Literature DB >> 26616731

Cut-off values to rule out urinary tract infection should be gender-specific.

N Geerts1, K J M Boonen2, A K Boer3, V Scharnhorst4.   

Abstract

The diagnosis of urinary tract infection (UTI) by urine culture is an expensive and time-consuming procedure. Using a screening method, to identify negative samples, would improve the procedure and reduce costs. In this study, urine flow cytometry, of over 7000 urine samples, was assessed by retrospective analysis. With a cut-off value of >200bacteria/μl, we obtained a sensitivity of 93.0%, a specificity of 63.5%, and a negative predictive value (NPV) of 96.2%. As a result the culturing of 49% of all samples could be avoided. In addition, the data was retrospectively analyzed to determine if the introduction of gender-specific cut-off values could improve screening results. The obtained receiver operator curves are indeed significantly different when gender specific cut-offs were used. When a NPV of 95% is considered acceptable the unisex cut-off value of >200bacteria/μl can be used for women (NPV 94.9%), but the cut-off value for men could be raised to >400bacteria/μl without diminishing the NPV (NPV 95.0%).
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gender-specific; Screening; UF500; UTI

Mesh:

Year:  2015        PMID: 26616731     DOI: 10.1016/j.cca.2015.11.022

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  3 in total

Review 1.  Automated Flow Cytometry: An Alternative to Urine Culture in a Routine Clinical Microbiology Laboratory?

Authors:  Patricia Mejuto; Mariam Luengo; Julio Díaz-Gigante
Journal:  Int J Microbiol       Date:  2017-09-27

2.  Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients.

Authors:  Moritz Fritzenwanker; Marcel Oliver Grabitz; Borros Arneth; Harald Renz; Can Imirzalioglu; Trinad Chakraborty; Florian Wagenlehner
Journal:  Urol Int       Date:  2021-12-29       Impact factor: 1.934

3.  The development and validation of different decision-making tools to predict urine culture growth out of urine flow cytometry parameter.

Authors:  Martin Müller; Ruth Seidenberg; Sabine K Schuh; Aristomenis K Exadaktylos; Clyde B Schechter; Alexander B Leichtle; Wolf E Hautz
Journal:  PLoS One       Date:  2018-02-23       Impact factor: 3.240

  3 in total

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