Literature DB >> 28330780

Relationship between conventional culture and flow cytometry for the diagnosis of urinary tract infection.

Marta García-Coca1, Ignacio Gadea2, Jaime Esteban3.   

Abstract

BACKGROUND: Urine culture is the gold standard for the diagnosis of urinary tract infections (UTI). The use of flow cytometry analyzers (FCA) prior to culture allows for the quantification and recognition of cell components in urine to be automated and makes it possible to relate these data to the urine pathogens subsequently identified in cultures.
METHODS: Urine samples were assessed with the Sysmex UF-1000i analyzer. Those that met the criteria for culture (> 25 leukocytes/μL or > 385 bacteria/μL) were subjected to quantitative urine culture on chromogenic agar. Counts of red blood cells (RBC), white blood cells (WBC), epithelial cells (EC), and the kind of microorganisms identified in cultures were evaluated.
RESULTS: A total of 17,483 samples were processed by FCA. Of these, 9057 met the criteria for culture. Urine cultures were reduced by 48.2%. The most common urine pathogen was Escherichia coli (60.3%). Negative urine cultures were significantly (p < 0.001) associated with a lower WBC count than urine with E. coli, Klebsiella spp. and Proteus spp., but urine with Enterococcus spp. had a lower WBC than negative urine. Contaminated urine had a significantly (p < 0.001) lower WBC than urine with E. coli, Klebsiella spp. and Proteus spp., but no differences were found for Enterococcus spp. (p = 0.729). Negative urine cultures had significantly (p < 0.05) higher EC than all positive urine samples. Contaminated urine was associated (p < 0.001) with higher EC than cultures with E. coli and Klebsiella spp., in comparison with cultures with Enterococcus spp. (p = 0.091) and Proteus spp. (p = 0.251).
CONCLUSION: The use of the Sysmex UF-1000i flow cytometer for screening urine samples allows for a reduction in the number of urine cultures. WBC values correlate well with the main urine pathogens related to UTI. The results observed for Enterococcus spp. suggest a low impact of these pathogens as a cause of UTI.

Entities:  

Keywords:  Flow cytometry; Sysmex; Urinary tract infection; Urine culture

Mesh:

Year:  2017        PMID: 28330780     DOI: 10.1016/j.mimet.2017.03.010

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  6 in total

1.  Cellular immune responses in amniotic fluid of women with preterm labor and intra-amniotic infection or intra-amniotic inflammation.

Authors:  Nardhy Gomez-Lopez; Roberto Romero; Jose Galaz; Yi Xu; Bogdan Panaitescu; Rebecca Slutsky; Kenichiro Motomura; Navleen Gill; Robert Para; Percy Pacora; Eunjung Jung; Chaur-Dong Hsu
Journal:  Am J Reprod Immunol       Date:  2019-09-03       Impact factor: 3.886

Review 2.  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

Review 3.  Progress in Automated Urinalysis.

Authors:  Matthijs Oyaert; Joris Delanghe
Journal:  Ann Lab Med       Date:  2019-01       Impact factor: 3.464

4.  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

5.  A novel approach to screening and managing the urinary tract infections suspected sample in the general human population.

Authors:  Magdalena Szmulik; Zuzanna Trześniewska-Ofiara; Mariola Mendrycka; Agnieszka Woźniak-Kosek
Journal:  Front Cell Infect Microbiol       Date:  2022-08-25       Impact factor: 6.073

6.  UF-5000 flow cytometer: A new technology to support microbiologists' interpretation of suspected urinary tract infections.

Authors:  Roberto Ippoliti; Isabella Allievi; Andrea Rocchetti
Journal:  Microbiologyopen       Date:  2020-01-06       Impact factor: 3.139

  6 in total

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