ArticleJournal of clinical laboratory analysis2022
Consistency analysis of the Sysmex UF-5000 and Atellica UAS 800 urine sedimentation analyzers.
Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Comparative evaluation of three automated urine sediment analyzers excluding cutoff-related trade-offs.iScience · 2026Article
- Performance verification of the new UF-1500 urine particle analyser: a new opportunity for small and medium laboratories.Practical laboratory medicine · 2025Article
- Automated urine analyzers: a comparative study of Atellica UAS 800 and UAS 60 with risk analysis.Biochemia medica · 2025Article
- Comparison of Labsan Tricell-1000 and Dirui FUS-2000 automated urine analyzers with manual microscopy.Practical laboratory medicine · 2024Article
- Consistency analysis of the Sysmex UF-5000 and Atellica UAS 800 urine sedimentation analyzers.Journal of clinical laboratory analysis · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveTo evaluate the consistency between the results of Sysmex UF-5000 system and Atellica® UAS 800 Urine Sediment Analyzer.
methodsA total of 636 random urine samples were collected from inpatients and outpatients from March to September 2021. Urine was collected for analysis by the Sysmex UF-5000, Atellica UAS 800 systems, and manual microscopic examination. The results of manual microscopy as the gold standard, the coincidence rate and false-negative rate of Sysmex UF-5000 and Atellica UAS 800 systems in the detection of red blood cells, white blood cells, and casts were calculated.
resultsThe coincidence rates of red blood cells, white blood cells, and cast, crystals, and other sediment components for the Sysmex UF-5000 system were 85.37%, 87.89%, 91.67%, 88.36%, and 71.86%. The false-negative rates were 28.47%, 3.75%, 68.97%, 37.25%, and 30.63%. The coincidence rates of red blood cells, white blood cells, and cast, crystals, and other sediment components for the Atellica UAS 800 system were 85.06%, 90.25%, 59.12%, 91.67%, and 67.45% and the false-negative rates were 60.42%, 21.25%, 36.21%, 19.64%, and 35.80%.
conclusionTwo instruments are superior in the detection of red blood cells and white blood cells. The Atellica UAS 800 system with image review has a good coincidence rate in the identification of crystals and casts. The identification of various sediment components in urine by both instruments meets the laboratory requirements. Two instruments with different methodologies have their own characteristics, and we should reasonably use them according to the conditions of the laboratory.
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