Literature DB >> 27860075

Comparison between urine culture profile and morphology classification using fluorescence parameters of the Sysmex UF-1000i urine flow cytometer.

G Jiménez-Guerra1, V Heras-Cañas1, M D Valera-Arcas1, J Rodríguez-Grangér1, J M Navarro1, J Gutiérrez-Fernández1,2.   

Abstract

AIMS: To determine the usefulness of the fluorescence parameters generated by Sysmex UF-1000i flow cytometer for the rapid diagnosis of urinary tract infection by bacilli or cocci. METHODS AND
RESULTS: Urine samples (n = 1924) were studied by culture and microbiology and subsequently by cytometry, using BACT-Morph software and considering forward-scattered light (FSC) and fluorescent light scatter fluorescence parameters. BACT-Morph software showed moderate diagnostic accuracy (78·4%) to detect rod-shaped bacteria, with sensitivity of 82·4% and specificity of 62·5%. Forward-scattered (B_FSC) values of the bacterial channel were significant higher for the Gram-positive cocci category (P < 0·001). A cut-off of B_FSC ≥24·2, expressed in arbitrary units (analytical channel, ch), provided higher sensitivity (90·0%) but lower specificity (38·9%), and the diagnostic accuracy for Gram-positive cocci classification reached 62·0%.
CONCLUSIONS: Utilization of BACT-Morph software and bacterial channel fluorescence parameters (B_FSC ≥24·2 ch) offered an approximate discrimination of bacilli and cocci but the specificity was low, especially for FSC. SIGNIFICANCE AND IMPACT OF THE STUDY: Further research is needed to establish the usefulness of flow cytometry for aetiological diagnosis.
© 2016 The Society for Applied Microbiology.

Entities:  

Keywords:  diagnosis; fluorescence; urinary tract infection; urine culture; urine flow cytometer

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Year:  2017        PMID: 27860075     DOI: 10.1111/jam.13354

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  4 in total

1.  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

2.  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

3.  Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

Authors:  Kwang Seob Lee; Hyung Jae Lim; Kyungnam Kim; Yeon-Gyeong Park; Jae-Woo Yoo; Dongeun Yong
Journal:  Microbiol Spectr       Date:  2022-03-02

4.  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

  4 in total

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