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

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 d...

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Veröffentlicht in:Clinical chemistry and laboratory medicine 2019-10, Vol.57 (11), p.1744-1753
Hauptverfasser: Cho, Jooyoung, Oh, Kyeong Jin, Jeon, Beom Chan, Lee, Sang-Guk, Kim, Jeong-Ho
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container_end_page 1753
container_issue 11
container_start_page 1744
container_title Clinical chemistry and laboratory medicine
container_volume 57
creator Cho, Jooyoung
Oh, Kyeong Jin
Jeon, Beom Chan
Lee, Sang-Guk
Kim, Jeong-Ho
description 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.
doi_str_mv 10.1515/cclm-2019-0211
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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.</description><identifier>ISSN: 1434-6621</identifier><identifier>EISSN: 1437-4331</identifier><identifier>DOI: 10.1515/cclm-2019-0211</identifier><identifier>PMID: 31280239</identifier><language>eng</language><publisher>Germany: De Gruyter</publisher><subject>Algorithms ; Analyzers ; automated urine sediment analyzer ; Automation ; Biological Assay - methods ; Cobas ; Crystals ; Diagnostic systems ; Epithelial cells ; Erythrocytes ; Humans ; Image detection ; Iris iQ200SPRINT ; Leukocytes ; Medical laboratories ; Medical personnel ; Microscopy ; Microscopy - methods ; Physicians ; Sediments ; Sensitivity analysis ; u 701 ; UAS800 ; UF-5000 ; Urinalysis - methods ; Urine ; URiSCAN PlusScope ; Workflow</subject><ispartof>Clinical chemistry and laboratory medicine, 2019-10, Vol.57 (11), p.1744-1753</ispartof><rights>2019 Walter de Gruyter GmbH, Berlin/Boston</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-d601dcdd8ded55b5dd29bf200cbff862038d0ba2cd619e8841d7559e0616b1b93</citedby><cites>FETCH-LOGICAL-c378t-d601dcdd8ded55b5dd29bf200cbff862038d0ba2cd619e8841d7559e0616b1b93</cites><orcidid>0000-0002-9628-2334</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2019-0211/pdf$$EPDF$$P50$$Gwalterdegruyter$$H</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2019-0211/html$$EHTML$$P50$$Gwalterdegruyter$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,66754,68538</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31280239$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cho, Jooyoung</creatorcontrib><creatorcontrib>Oh, Kyeong Jin</creatorcontrib><creatorcontrib>Jeon, Beom Chan</creatorcontrib><creatorcontrib>Lee, Sang-Guk</creatorcontrib><creatorcontrib>Kim, Jeong-Ho</creatorcontrib><title>Comparison of five automated urine sediment analyzers with manual microscopy for accurate identification of urine sediment</title><title>Clinical chemistry and laboratory medicine</title><addtitle>Clin Chem Lab Med</addtitle><description>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.</description><subject>Algorithms</subject><subject>Analyzers</subject><subject>automated urine sediment analyzer</subject><subject>Automation</subject><subject>Biological Assay - methods</subject><subject>Cobas</subject><subject>Crystals</subject><subject>Diagnostic systems</subject><subject>Epithelial cells</subject><subject>Erythrocytes</subject><subject>Humans</subject><subject>Image detection</subject><subject>Iris iQ200SPRINT</subject><subject>Leukocytes</subject><subject>Medical laboratories</subject><subject>Medical personnel</subject><subject>Microscopy</subject><subject>Microscopy - methods</subject><subject>Physicians</subject><subject>Sediments</subject><subject>Sensitivity analysis</subject><subject>u 701</subject><subject>UAS800</subject><subject>UF-5000</subject><subject>Urinalysis - methods</subject><subject>Urine</subject><subject>URiSCAN PlusScope</subject><subject>Workflow</subject><issn>1434-6621</issn><issn>1437-4331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkU1v1TAQRS0EoqVlyxJZYsMmxWPHibNBQk98SZXY0HXk2GNwFccPO6Z6_fV1eAUE6sqzOPdYM5eQF8AuQIJ8Y8wcGs5gaBgHeEROoRV90woBj3_NbdN1HE7Is5yvGQMp2_4pORHAFeNiOCW3uxj2OvkcFxoddf4nUl3WGPSKlpbkF6QZrQ-4rFQvej7cYsr0xq_fadBL0TMN3qSYTdwfqIuJamNKqmnqbc14541e_dH-r-6cPHF6zvj8_j0jVx_ef919ai6_fPy8e3fZGNGrtbEdA2usVRatlJO0lg-T44yZyTnVcSaUZZPmxnYwoFIt2F7KAVkH3QTTIM7I66N3n-KPgnkdg88G51kvGEseOZdC1YOptqKv_kOvY0l160qJemTZC8YqdXGktr1zQjfukw86HUZg49bKuLUybq2MWys18PJeW6aA9g_-u4YKvD0CN3peMVn8lsqhDn-_f9gsewDo21bcASU8nxc</recordid><startdate>20191025</startdate><enddate>20191025</enddate><creator>Cho, Jooyoung</creator><creator>Oh, Kyeong Jin</creator><creator>Jeon, Beom Chan</creator><creator>Lee, Sang-Guk</creator><creator>Kim, Jeong-Ho</creator><general>De Gruyter</general><general>Walter De Gruyter &amp; 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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.</abstract><cop>Germany</cop><pub>De Gruyter</pub><pmid>31280239</pmid><doi>10.1515/cclm-2019-0211</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-9628-2334</orcidid></addata></record>
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source MEDLINE; De Gruyter journals
subjects Algorithms
Analyzers
automated urine sediment analyzer
Automation
Biological Assay - methods
Cobas
Crystals
Diagnostic systems
Epithelial cells
Erythrocytes
Humans
Image detection
Iris iQ200SPRINT
Leukocytes
Medical laboratories
Medical personnel
Microscopy
Microscopy - methods
Physicians
Sediments
Sensitivity analysis
u 701
UAS800
UF-5000
Urinalysis - methods
Urine
URiSCAN PlusScope
Workflow
title Comparison of five automated urine sediment analyzers with manual microscopy for accurate identification of urine sediment
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