Analysis of Four Automated Urinalysis Systems Compared to Reference Methods

Bartosova, Kamila; Kubíček, Zdenĕk; Franeková, Janka; Louzenský, G; Lavríková, Petra; Jabor, Antonı́n

doi:10.7754/clin.lab.2016.160316

Cited by 5 publications

(3 citation statements)

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“…Excellent agreement was not observed between any of the compared automated urine sediment analyzers and manual microscopy in this study. In previous studies, Enko et al reported that Cobas u701 showed substantial agreement for WBC and a fair agreement for RBC and EPI [37], and Bartosova et al found that IRIS Iq200 was nearly perfect regarding RBC evaluation [38]. This is not in full accordance with the results of our study, but the agreement for WBC in Cobas u701 (κ = 0.56) and the agreement for RBC in IRIS Iq200 (κ = 0.61) were proximately relevant to the previous studies.…”

Section: Discussionmentioning

confidence: 98%

Comparison of IRIS Iq200, UF-1000i, and Cobas u701 Module Automated Urine Sediment Analyzers

et al. 2020

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Background: We sought to compare the performance of three commercially available automated urine sediment analyzers that represent the current urine sediment analysis technology. Methods: A total of 232 patient samples were analyzed using manual microscopy and three automated analyzers: IRIS Iq200 (Beckman Coulter, USA), UF-1000i (Sysmex, Japan), and Cobas u701 (Roche, Switzerland). We analyzed precision, linearity, carry-over, concordance rate, and agreement between the three analyzers and manual microscopy. Results: The repeatability and within-laboratory precision showed results similar to those of previous studies. All analyzers showed excellent linearity. The carry-over rates were within 1%. The correlation coefficient (r) between the three analyzers and manual microscopy was good. Regarding red blood cell (RBC), the UF-1000i showed a better concordance rate (90.52%) with manual microscopy than the other two analyzers and the agreement was substantial for UF-1000i (κ=0.63) and IRIS Iq200 (κ=0.61). Regarding white blood cell (WBC), Cobas u701 showed the best concordance rate (96.55%) and the agreement was moderate for IRIS Iq200 (κ=0.57) and Cobas u701 (κ=0.56), and fair for UF-1000i (κ=0.47). Regarding epithelial cell (EPI), IRIS Iq200 showed the highest concordance rate (99.2%) and the agreement was moderate for IRIS Iq200 (κ=0.59) and Cobas u701 (κ=0.54), and fair for UF-1000i (κ=0.40). Conclusions: IRIS Iq200 offered the best agreement with manual microscopy for WBC and EPI count, while UF-1000i showed a better agreement for RBC count. The agreement is insufficient for fully replacing the manual microscopy.

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Section: Discussionmentioning

confidence: 98%

Comparison of IRIS Iq200, UF-1000i, and Cobas u701 Module Automated Urine Sediment Analyzers

et al. 2020

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“…When the urine occult blood test was negative and the RBC count was in normal range at the same time, it is possible to ignore the careful identification of unclassified cells images, especially for inexperienced staff. Confirmation of pathological results of the automated system by manual examination may be needed [7].…”

Section: Discussionmentioning

confidence: 99%

Double false-negative traps in urine routine test: a case report

Xiang

Liang

Ren

2020

Journal of Laboratory Medicine

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BackgroundUrinalysis is one of the most commonly performed tests in clinical practice and supplies important information for a series of clinical conditions, including renal and urinary tract diseases. The clinical laboratory often completes urinalysis through the combined use of urinary dry-chemistry and formed-element analyzers. Urine red blood cell (RBC) morphology test is often used to discriminate the source of hematuria by manual microscopy.Case presentationIn this case report, we describe a 39-year-old woman with chronic glomerulonephritis (CGN) who underwent both urine routine test and RBC morphology test. Her RBC count was in the normal range and the occult blood test was negative in routine test, while the RBC morphology test indicated the presence of non-homogeneous hematuria.ConclusionsTherefore, we analyzed the causes of false-negative result on the urine chemical analyzer and the automatic microscope system, respectively.

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“…Digital flow morphology software is used to automatically isolate, characterize, and categorize urine particles, and on-screen verification allows user review and reclassification of particles when necessary. 4,5 The instrument is rapid and efficient, with each result being reported within 2 minutes of sample introduction to the Iris system. The following biologic elements were determined for this study: red blood cells, white blood cells, bacteria, budding yeast, yeast with pseudo hyphae, squamous epithelial cells, renal epithelial cells, mucus strands, sperm cells, cellular casts, and crystals.…”

Section: Specimen Analysesmentioning

confidence: 99%

Evaluating Novel Markers for Specimen Validity Testing

Kyle

Kaur

2019

Archives of Pathology &Amp; Laboratory Medicine

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Context.— Synthetic urine products are commercially marketed for the purpose of specimen substitution for urine drug screens. These products are widely popular because they yield negative drug screen results, meet criteria for specimen validity testing, and are easily accessible and affordable. Current specimen validity criteria are ineffective for detecting these synthetic products, and new markers of specimen validity are required. Objective.— To develop and evaluate a multicomponent liquid chromatography tandem mass spectrometry (LC-MS/MS) assay for urine specimen validity testing. Design.— A quantitative LC-MS/MS assay was developed for caffeine, cotinine, theobromine, and urobilin in urine. The assay was applied to known synthetic urine products (n = 10) as well as human specimens received for pre-employment testing (n = 500), for-cause workplace testing (n = 100), and medical pain management monitoring (n = 200). Specimens devoid of all 4 validity markers were subjected to follow-up testing that involved microscopic urinalysis and comprehensive gas chromatography mass spectrometry for drugs, pharmaceuticals, hormones, and lipids. Results.— Of the experimental groups, 10 of 10 synthetic urine products (100%), 12 of 500 pre-employment specimens (2.4%), and 4 of 200 pain management specimens (2.0%) failed the experimental LC-MS/MS assay. Follow-up testing indicated that each of the failed specimens was nonphysiologic in nature. Conclusions.— Simultaneous application of the 4 experimental validity markers appeared to be a robust method for detecting nonphysiologic specimens. New markers of specimen validity must be developed in order to identify commercially available synthetic urine products.

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Analysis of Four Automated Urinalysis Systems Compared to Reference Methods

Abstract: The use of automated urinalysis demonstrated some weaknesses and should be checked by experienced laboratory staff using light microscopy.

Cited by 5 publications

References 0 publications

Comparison of IRIS Iq200, UF-1000i, and Cobas u701 Module Automated Urine Sediment Analyzers

Comparison of IRIS Iq200, UF-1000i, and Cobas u701 Module Automated Urine Sediment Analyzers

Double false-negative traps in urine routine test: a case report

Evaluating Novel Markers for Specimen Validity Testing

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