Literature DB >> 9915222

The automation of sediment urinalysis using a new urine flow cytometer (UF-100)

D Fenili1, B Pirovano.   

Abstract

The UF-100 analyser is a fully automated instrument that stains the DNA and the membranes of the formed elements in native urine. The sample then passes as a laminar flow through a laser beam and light scattering, fluorescence and impedance are measured. The main purpose of the present work was to assess the analytical performance and the accuracy of the measurements of the UF-100 analyser. No carryover was observed, while the linearity was higher then the upper limit (40000 total particles microl(-1)) suggested by the manufacturer. The within-run imprecision was low, ranging from 17.7 % to 2.4% and was up to threefold better than manual microscopy. Comparison of results obtained by sediment microscopy (performed according to National Committee for Clinical Laboratory Standards (NCCLS) recommendations) and by the UF-100 analyser showed a linear correlation with r = 0.833 for erythrocytes, r = 0.934 for leukocytes, r = 0.880 for epithelial cells and r = 0.40 for casts. To evaluate the reliability of the UF-100 analyser in detecting bacteria we compared the results with the microbial culture (n = 608). Using a cut-off value of bacterial count above 1800 degrees l(-1) and at leukocyte count above 45 microl(-1), the analyser detected positive cultures with a sensitivity of 87 % and a specificity of 80 %. In conclusion, the UF-100 analyser can improve the work flow, increasing the output of urinalysis by reducing the number of specimens submitted for microscopy. Also the method provides reliable information for the identification of urinary tract inflammation and bacterial infection.

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Year:  1998        PMID: 9915222     DOI: 10.1515/CCLM.1998.158

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  14 in total

1.  Unsatisfactory performance of flow cytometer UF-100 and urine strips in predicting outcome of urine cultures.

Authors:  Z Zaman; S Roggeman; J Verhaegen
Journal:  J Clin Microbiol       Date:  2001-11       Impact factor: 5.948

2.  Determination of cut-off values for leucocytes and bacteria for urine flow cytometer (UF-100) in urinary tract infections.

Authors:  Tulay Koken; Orhan C Aktepe; Mustafa Serteser; Murat Samli; Ahmet Kahraman; Nurhan Dogan
Journal:  Int Urol Nephrol       Date:  2002       Impact factor: 2.370

3.  Clinical laboratory automated urinalysis: comparison among automated microscopy, flow cytometry, two test strips analyzers, and manual microscopic examination of the urine sediments.

Authors:  S Mayo; D Acevedo; C Quiñones-Torrelo; I Canós; M Sancho
Journal:  J Clin Lab Anal       Date:  2008       Impact factor: 2.352

4.  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

5.  Comparison of fully automated urine sediment analyzers H800-FUS100 and LabUMat-UriSed with manual microscopy.

Authors:  Hatice Yüksel; Elif Kiliç; Aysun Ekinci; Osman Evliyaoğlu
Journal:  J Clin Lab Anal       Date:  2013-07       Impact factor: 2.352

Review 6.  Applications of flow cytometry to clinical microbiology.

Authors:  A Alvarez-Barrientos; J Arroyo; R Cantón; C Nombela; M Sánchez-Pérez
Journal:  Clin Microbiol Rev       Date:  2000-04       Impact factor: 26.132

7.  Electrical conductivity and total dissolved solids in urine.

Authors:  Y M Fazil Marickar
Journal:  Urol Res       Date:  2009-11-17

Review 8.  Urinalysis and urinary tract infection: update for clinicians.

Authors:  J L Young; D E Soper
Journal:  Infect Dis Obstet Gynecol       Date:  2001

9.  Lab-on-chip cytometry based on magnetoresistive sensors for bacteria detection in milk.

Authors:  Ana C Fernandes; Carla M Duarte; Filipe A Cardoso; Ricardo Bexiga; Susana Cardoso; Paulo P Freitas
Journal:  Sensors (Basel)       Date:  2014-08-21       Impact factor: 3.576

10.  Levels of albuminuria and risk of developing macroalbuminuria in type 2 diabetes: historical cohort study.

Authors:  Shoma Chida; Yoshikuni Fujita; Akifumi Ogawa; Akinori Hayashi; Raishi Ichikawa; Yuji Kamata; Akihiro Takeuchi; Koji Takano; Masayoshi Shichiri
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

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