Literature DB >> 18024316

Evaluation of the Sysmex UF-100 urine cell analyzer as a screening test to reduce the need for urine cultures for community-acquired urinary tract infection.

Shine Young Kim1, Young Jin Kim, Sun Min Lee, Sang Hyun Hwang, Hyung Hoi Kim, Han Chul Son, Eun Yup Lee.   

Abstract

We evaluated the UF-100 flow cytometer (TOA Medical Electronics, Kobe, Japan) as a screening test for community-acquired urinary tract infection (UTI) to reduce the need for bacterial cultures. By comparing the test results for 330 urine samples with quantitative urine cultures, we established cutoff criteria for the UF-100. To rule out hospital-acquired UTI, all urine samples were from new patients who had not been admitted to a hospital within the previous month. Abacterial cutoff value of 3,000/microL provided the best discrimination for community-acquired UTI, with a sensitivity of 94.4% and a specificity of 73.4%compared with urine culture. It was possible to forgo 58.2% of cultures with only 4 false-negative results. With a bacterial cutoff value of 1,500/microL, the sensitivity improved to 100%, but the specificity declined to 49.8%, and only 38.5% of cultures could be avoided without any false-negative results. Screening with the UF-100 for community-acquired UTI is acceptable for routine use. It would improve the efficiency of the routine microbiology laboratory, and unnecessary antibiotic prescriptions could be reduced.

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Year:  2007        PMID: 18024316     DOI: 10.1309/4606EC29U50DVAFY

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  7 in total

1.  Screening for urinary tract infection with the Sysmex UF-1000i urine flow cytometer.

Authors:  Maarten A C Broeren; Semiha Bahçeci; Huib L Vader; Niek L A Arents
Journal:  J Clin Microbiol       Date:  2011-01-19       Impact factor: 5.948

2.  Screening of urine samples by flow cytometry reduces the need for culture.

Authors:  Santra Jolkkonen; Eeva-Liisa Paattiniemi; Pauliina Kärpänoja; Hannu Sarkkinen
Journal:  J Clin Microbiol       Date:  2010-06-30       Impact factor: 5.948

3.  Urine Flow Cytometry Parameter Cannot Safely Predict Contamination of Urine-A Cohort Study of a Swiss Emergency Department Using Machine Learning Techniques.

Authors:  Martin Müller; Nadine Sägesser; Peter M Keller; Spyridon Arampatzis; Benedict Steffens; Simone Ehrhard; Alexander B Leichtle
Journal:  Diagnostics (Basel)       Date:  2022-04-16

4.  Accuracy of Automated Flow Cytometry-Based Leukocyte Counts To Rule Out Urinary Tract Infection in Febrile Children: a Prospective Cross-Sectional Study.

Authors:  Hong Phuoc Duong; Karl Martin Wissing; Nathalie Tram; Georges Mascart; Philippe Lepage; Khalid Ismaili
Journal:  J Clin Microbiol       Date:  2016-09-28       Impact factor: 5.948

5.  Urine Flow Cytometry in the Diagnosis of Urinary Tract Infection.

Authors:  Seçil Conkar; Sevgi Mir
Journal:  Indian J Pediatr       Date:  2018-04-26       Impact factor: 1.967

Review 6.  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 7.  Utilization management in microbiology.

Authors:  John A Branda; Kent Lewandrowski
Journal:  Clin Chim Acta       Date:  2013-09-29       Impact factor: 3.786

  7 in total

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