Literature DB >> 28760666

Performance evaluation of the new fully automated urine particle analyser UF-5000 compared to the reference method of the Fuchs-Rosenthal chamber.

Giulia Previtali1, Rudi Ravasio2, Michela Seghezzi2, Sabrina Buoro2, Maria Grazia Alessio2.   

Abstract

BACKGROUND: UF-5000 is the new fully automated urine particle analyser. We validated its performance.
METHODS: 736 urines were analysed and results were compared by two pathologists on uncentrifuged samples, using Fuchs-Rosenthal chamber.
RESULTS: AUC of ROC curve ranged between 0.86 and 0.99. Sensitivity was >0.90 for all the elements and similar for RBC and yeasts. Specificity ranged between 0.74 and 0.89 for total cast, epithelial/non-squamous/renal-tubular cells and RBC. For all the other parameters specificity was >0.90. Comparison with Fuchs-Rosenthal chamber was very good for all the parameters; r ranged between 0.52 and 0.99 except for pathological cast because of the lack of the pathological samples in medium and higher ranges. Linearity performance (R2) was 1.00, 1.00 and 0.99 respectively for RBC, WBC and epithelial cells (EC). No carry-over was observed. The within-run imprecision was 25.42%,13.81%,1.36% for RBC; 37.50%,10.16%,1.41% for WBC and 35.25%, 17.85%,6.30% for EC at low, near the cut off level and high concentrations, respectively. The between-run imprecision was 6.90%,1.60% for RBC, 4.10%,1.90% for WBC and 7.60%,7.30% for EC, using low and high positive quality controls, respectively.
CONCLUSION: UF-5000 is an analyser of great interest to detect urine particle related to pathological process of kidney and urinary tract.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automated urine analysis; Fuchs Rosenthal chamber; UF-5000; Urine particles

Mesh:

Year:  2017        PMID: 28760666     DOI: 10.1016/j.cca.2017.07.028

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


  8 in total

1.  Investigation of Atyp.C using UF-5000 flow cytometer in patients with a suspected diagnosis of urothelial carcinoma: a single-center study.

Authors:  Chunyun Ren; Xing Wang; Chunwei Yang; Shengchao Li; Shuangchun Liu; Hongcui Cao
Journal:  Diagn Pathol       Date:  2020-06-25       Impact factor: 2.644

Review 2.  Progress in Automated Urinalysis.

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

3.  Semiquantitative, fully automated urine test strip analysis.

Authors:  Matthijs Oyaert; Joris R Delanghe
Journal:  J Clin Lab Anal       Date:  2019-02-25       Impact factor: 2.352

4.  A performance comparison of the fully automated urine particle analyzer UF-5000 with UF-1000i and Gram staining in predicting bacterial growth patterns in women with uncomplicated urinary tract infections.

Authors:  Stephen Shei-Dei Yang; Chun-Chun Yang; Yi-Sheng Chen; Shang-Jen Chang
Journal:  BMC Urol       Date:  2021-02-12       Impact factor: 2.264

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.  Performance Evaluation of Body Fluid Cellular Analysis Using the Beckman Coulter UniCel DxH 800, Sysmex XN-350, and UF-5000 Automated Cellular Analyzers.

Authors:  Jooyoung Cho; Joowon Oh; Sang Guk Lee; You Hee Lee; Jaewoo Song; Jeong Ho Kim
Journal:  Ann Lab Med       Date:  2020-03       Impact factor: 3.464

7.  Increased effectiveness of urinalysis testing via the integration of automated instrumentation, the lean management approach, and autoverification.

Authors:  Preechaya Wongkrajang; Kanit Reesukumal; Busadee Pratumvinit
Journal:  J Clin Lab Anal       Date:  2019-09-09       Impact factor: 2.352

8.  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

  8 in total

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