Literature DB >> 26123581

Urine flow cytometry can rule out urinary tract infection, but cannot identify bacterial morphologies correctly.

N Geerts1, A R Jansz2, K J M Boonen3, R P W F Wijn4, E L Koldewijn5, A K Boer6, V Scharnhorst7.   

Abstract

The diagnosis of urinary tract infection (UTI) by urine culture is a time-consuming and costly procedure. Usage of a screening method, to identify negative samples, would therefore affect time-to-diagnosis and laboratory cost positively. Urine flow cytometers are able to identify particles in urine. Together with the introduction of a cut-off value, which determines if a urine sample is subsequently cultured or not, the number of cultures can be reduced, while maintaining a low level of false negatives and a high negative predictive value. Recently, Sysmex developed additional software for their urine flow cytometers. Besides measuring the number of bacteria present in urine, information is given on bacterial morphology, which may guide the physician in the choice of antibiotic. In this study, we evaluated this software update. The UF1000i classifies bacteria into two categories: 'rods' and 'cocci/mixed'. Compared to the actual morphology of the bacterial pathogen found, the 'rods' category scores reasonably well with 91% chance of classifying rod-shaped bacteria correctly. The 'cocci/mixed' category underperforms, with only 29% of spherical-shaped bacteria (cocci) classified as such. In its current version, the bacterial morphology software does not classify bacteria, according to their morphology, well enough to be of clinical use in this study population.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antibiotic treatment; Bacterial morphology; Screening; UF1000i; UTI

Mesh:

Substances:

Year:  2015        PMID: 26123581     DOI: 10.1016/j.cca.2015.06.020

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


  10 in total

1.  Rapid differentiation of cocci/mixed bacteria from rods in voided urine culture of women with uncomplicated urinary tract infections.

Authors:  Chun-Chun Yang; Stephen Shei-Dei Yang; Hui-Ching Hung; I-Ni Chiang; Chiung-Hui Peng; Shang-Jen Chang
Journal:  J Clin Lab Anal       Date:  2016-11-15       Impact factor: 2.352

Review 2.  New and developing diagnostic technologies for urinary tract infections.

Authors:  Michael Davenport; Kathleen E Mach; Linda M Dairiki Shortliffe; Niaz Banaei; Tza-Huei Wang; Joseph C Liao
Journal:  Nat Rev Urol       Date:  2017-03-01       Impact factor: 14.432

3.  Rapid Screening of Urinary Tract Infection and Discrimination of Gram-Positive and Gram-Negative Bacteria by Automated Flow Cytometric Analysis Using Sysmex UF-5000.

Authors:  Seon Young Kim; Yumi Park; Hyunjin Kim; Jimyung Kim; Sun Hoe Koo; Gye Cheol Kwon
Journal:  J Clin Microbiol       Date:  2018-07-26       Impact factor: 5.948

4.  A new concept and a comprehensive evaluation of SYSMEX UF-1000i  flow cytometer to identify culture-negative urine specimens in patients with UTI.

Authors:  T Monsen; P Ryden
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-04-06       Impact factor: 3.267

5.  Validation and Search of the Ideal Cut-Off of the Sysmex UF-1000i® Flow Cytometer for the Diagnosis of Urinary Tract Infection in a Tertiary Hospital in Spain.

Authors:  María I Millán-Lou; Juan M García-Lechuz; María A Ruiz-Andrés; Concepción López; María J Aldea; María J Revillo; Antonio Rezusta
Journal:  Front Med (Lausanne)       Date:  2018-04-09

6.  A multicentre study investigating parameters which influence direct bacterial identification from urine.

Authors:  Yuliya Zboromyrska; Jordi Bosch; Jesus Aramburu; Juan Cuadros; Carlos García-Riestra; Julia Guzmán-Puche; Carmen Liébana Martos; Elena Loza; María Muñoz-Algarra; Carlos Ruiz de Alegría; Victoria Sánchez-Hellín; Jordi Vila
Journal:  PLoS One       Date:  2018-12-11       Impact factor: 3.240

7.  Accuracy of urine flow cytometry and urine test strip in predicting relevant bacteriuria in different patient populations.

Authors:  Stefano Bassetti; Adrian Egli; Christian Gehringer; Axel Regeniter; Katharina Rentsch; Sarah Tschudin-Sutter
Journal:  BMC Infect Dis       Date:  2021-02-25       Impact factor: 3.090

8.  Profile of sexually transmitted infections causing urethritis and a related inflammatory reaction in urine among heterosexual males: A flow-cytometry study.

Authors:  Stanislav Tjagur; Reet Mändar; Margus Punab
Journal:  PLoS One       Date:  2020-12-02       Impact factor: 3.240

9.  Use of Sysmex UF-5000 flow cytometry in rapid diagnosis of urinary tract infection and the importance of validating carryover rates against bacterial count cut-off.

Authors:  Kjersti Haugum; Maria Schei Haugan; Jannicke Skage; Mariann Tetik; Aleksandra Jakovljev; Hans-Johnny Schjelderup Nilsen; Jan Egil Afset
Journal:  J Med Microbiol       Date:  2021-12       Impact factor: 2.472

10.  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

  10 in total

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