Literature DB >> 31280239

Comparison of five automated urine sediment analyzers with manual microscopy for accurate identification of urine sediment.

Jooyoung Cho1,2, Kyeong Jin Oh1, Beom Chan Jeon1, Sang-Guk Lee1, Jeong-Ho Kim1.   

Abstract

Background While the introduction of automated urine analyzers is expected to reduce the labor involved, turnaround time and potential assay variations, microscopic examination remains the "gold standard" for the analysis of urine sediments. In this study, we evaluated the analytical and diagnostic performance of five recently introduced automated urine sediment analyzers. Methods A total of 1016 samples were examined using five automated urine sediment analyzers and manual microscopy. Concordance of results from each automated analyzer and manual microscopy were evaluated. In addition, image and microscopic review rates of each system were investigated. Results The proportional bias for red blood cells (RBCs), white blood cells (WBCs) and squamous epithelial cells in the automated urine sediment analyzers were within ±20% of values obtained using the manual microscope, except in the cases of RBCs and WBCs analyzed using URiSCAN PlusScope and Iris iQ200SPRINT, respectively. The sensitivities of Roche Cobas® u 701 and Siemens UAS800 for pathologic casts (73.6% and 81.1%, respectively) and crystals (62.2% and 49.5%, respectively) were high, along with high image review rates (24.6% and 25.2%, respectively). The detection rates for crystals, casts and review rates can be changed for the Sysmex UF-5000 platform according to cut-off thresholds. Conclusions Each automated urine sediment analyzer has certain distinct features, in addition to the common advantages of reducing the burden of manual processing. Therefore, laboratory physicians are encouraged to understand these features, and to utilize each system in appropriate ways, considering clinical algorithms and laboratory workflow.

Entities:  

Keywords:  Cobas® u 701; Iris iQ200SPRINT; UAS800; UF-5000; URiSCAN PlusScope; automated urine sediment analyzer

Mesh:

Year:  2019        PMID: 31280239     DOI: 10.1515/cclm-2019-0211

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


  7 in total

1.  A comparison of automated urine analyzers cobas 6500, UN 3000-111b and iRICELL 3000 with manual microscopic urinalysis.

Authors:  Piraya Tantisaranon; Kanyarat Dumkengkhachornwong; Peechana Aiadsakun; Areerat Hnoonual
Journal:  Pract Lab Med       Date:  2021-01-18

2.  LX-8000R and UriSed 2 fully automated urine analyzers comparison to manual microscopic examination.

Authors:  Canpolat Erkan Revşa Evin; Özgür Aslan
Journal:  J Med Biochem       Date:  2022-02-02       Impact factor: 3.402

3.  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

4.  Consistency analysis of the Sysmex UF-5000 and Atellica UAS 800 urine sedimentation analyzers.

Authors:  Hai Liu; Qing Li; Yiduo Zhang; Dongyue Huang; Fan Yu
Journal:  J Clin Lab Anal       Date:  2022-08-16       Impact factor: 3.124

5.  Sysmex UN2000 detection of protein/creatinine ratio and of renal tubular epithelial cells can be used for screening lupus nephritis.

Authors:  Yabin Chen; Yuan Zhao; Zhishan Zhang; Xiang Cheng; Jie Lin; Jiaming Li; Yibo Wu; Zhen Zhong Lin; Jing Jing
Journal:  BMC Nephrol       Date:  2022-10-05       Impact factor: 2.585

6.  A Microfluidic Detection System for Bladder Cancer Tumor Cells.

Authors:  Shuxing Lv; Jinwei Yu; Yan Zhao; Hongxiang Li; Fang Zheng; Ning Liu; Dahua Li; Xuguo Sun
Journal:  Micromachines (Basel)       Date:  2019-12-11       Impact factor: 2.891

Review 7.  Urine Sediment Findings and the Immune Response to Pathologies in Fungal Urinary Tract Infections Caused by Candida spp.

Authors:  José Antonio Tesser Poloni; Liane Nanci Rotta
Journal:  J Fungi (Basel)       Date:  2020-10-23
  7 in total

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