Literature DB >> 19012529

Benefits of the iQ200 automated urine microscopy analyser in routine urinalysis.

Daan van den Broek1, Irene M L W Keularts, Jos P M Wielders, Rob J Kraaijenhagen.   

Abstract

BACKGROUND: Urine microscopic analysis is hampered by its lack in standardisation and semi-quantitative reports, resulting in limited reliability. Automation of urinalysis could overcome these problems.
METHODS: We compared the performance of the iQ200 with traditional microscopy and strip analysis in routine urinalysis. A total of 1482 routine samples, positive in dipstick testing, were evaluated for erythrocytes, leukocytes, casts, dysmorphic erythrocytes and bacteria using the iQ200 and traditional microscopy. The results of 320 of these samples were linked to underlying urological pathology as well as results from bacterial culturing.
RESULTS: Analytically, the iQ200 surpasses traditional microscopy. The identification of casts and dysmorphic erythrocytes in routine samples improves when using the iQ200, although the sub-classification of casts required well-trained technicians. The auto-classification of particles was least reliable for yeast and bacterial cocci. The quantitative reports, and therefore the use of precise cut-off points allowed earlier and improved detection of urinary tract pathology.
CONCLUSIONS: The performance of the iQ200 is equal to traditional microscopy, but it strongly improves the reliability of urinalysis by standardisation, quantitative reports and improved workflow. From a clinical point of view, renewed attention and improvement of routine urinalysis aids in the efficient detection of renal and urinary tract pathology.

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Mesh:

Year:  2008        PMID: 19012529     DOI: 10.1515/CCLM.2008.317

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


  8 in total

1.  Performance Evaluation of Three URiSCAN Devices for Routine Urinalysis.

Authors:  Kiwoong Ko; Min-Jung Kwon; Seungho Ryu; Hee-Yeon Woo; Hyosoon Park
Journal:  J Clin Lab Anal       Date:  2015-08-24       Impact factor: 2.352

2.  Rapid Detection of Urinary Tract Infection in 10 min by Tracking Multiple Phenotypic Features in a 30 s Large-Volume Scattering Video of Urine Microscopy.

Authors:  Fenni Zhang; Manni Mo; Jiapei Jiang; Xinyu Zhou; Michelle McBride; Yunze Yang; Kenta S Reilly; Thomas E Grys; Shelley E Haydel; Nongjian Tao; Shaopeng Wang
Journal:  ACS Sens       Date:  2022-08-05       Impact factor: 9.618

3.  Isomorphic red blood cells using automated urine flow cytometry is a reliable method in diagnosis of bladder cancer.

Authors:  Satoru Muto; Syo-Ichiro Sugiura; Akiko Nakajima; Akira Horiuchi; Masahiro Inoue; Keisuke Saito; Shuji Isotani; Raizo Yamaguchi; Hisamitsu Ide; Shigeo Horie
Journal:  Int J Clin Oncol       Date:  2013-10-09       Impact factor: 3.402

4.  Use of Automated Urine Microscopy Analysis in Clinical Diagnosis of Urinary Tract Infection: Defining an Optimal Diagnostic Score in an Academic Medical Center Population.

Authors:  Dimard E Foudraine; Martijn P Bauer; Anne Russcher; Elske Kusters; Christa M Cobbaert; Martha T van der Beek; Janneke E Stalenhoef
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

5.  Rapid Antimicrobial Susceptibility Testing on Clinical Urine Samples by Video-Based Object Scattering Intensity Detection.

Authors:  Fenni Zhang; Jiapei Jiang; Michelle McBride; Xinyu Zhou; Yunze Yang; Manni Mo; Joseph Peterman; Thomas Grys; Shelley E Haydel; Nongjian Tao; Shaopeng Wang
Journal:  Anal Chem       Date:  2021-04-28       Impact factor: 6.986

6.  Automated urinalysis combining physicochemical analysis, on-board centrifugation, and digital imaging in one system: A multicenter performance evaluation of the cobas 6500 urine work area.

Authors:  Christa M Cobbaert; Figen Arslan; Imma Caballé Martín; Antoni Alsius Serra; Ester Picó-Plana; Víctor Sánchez-Margalet; Antonio Carmona-Fernández; John Burden; André Ziegler; Walter Bechel
Journal:  Pract Lab Med       Date:  2019-09-19

7.  Diagnostic Characteristics of Urinary Red Blood Cell Distribution Incorporated in UF-5000 for Differentiation of Glomerular and Non-Glomerular Hematuria.

Authors:  Hanwool Cho; Jaeeun Yoo; Hyunjung Kim; Hyunsik Jang; Yonggoo Kim; Hyojin Chae
Journal:  Ann Lab Med       Date:  2022-03-01       Impact factor: 3.464

8.  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 in total

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