Advances in the clinical laboratory assessment of urinary sediment

Chan, Rebecca Wing-Yan; Szeto, Cheuk‐Chun

doi:10.1016/j.cccn.2003.11.006

Cited by 20 publications

(12 citation statements)

References 88 publications

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“…However, it required a large number of manual sediment revisions and the RBC counting showed false high values because of the presence of crystals. Another advantage of the UF-100 analyzer is the scattergram; it provides more precise information about red blood cell morphology (15,17). In general, the results obtained for both RBC and WBC were higher than those obtained for the same two parameters with the other procedures considered, which has been also observed in other published works (2,9,18,21,39).…”

Section: Discussionsupporting

confidence: 66%

See 1 more Smart Citation

Clinical laboratory automated urinalysis: comparison among automated microscopy, flow cytometry, two test strips analyzers, and manual microscopic examination of the urine sediments

Mayo

Acevedo

Quiñones-Torrelo

et al. 2008

Clinical Laboratory Analysis

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Urinalysis is one of the habitual clinical laboratory procedures, which implies that one of the largest sample volumes currently requires significant labor to examine microscopic sediments. Different analyzers currently used to perform this task have been compared with the manual microscopic sediment examination. The Atlas Clinitek 10 (Bayer Corporation, Diagnostics Division, Tarrytown, NY) and Urisys 2400 (Hitachi Science Systems Ltd., Ibaraki, Japan) test strips analyzers and two automated urinalysis systems, Sysmex UF-100 (Sysmex Corporation Kobe, Japan) and IRIS iQ200 (International Imaging Remote Systems, Chatsworth, CA), have been considered. We assessed the concordance between the results obtained from 652 freshly collected urine samples for erythrocytes (RBC), leukocytes (WBC), squamous epithelial cells (EC), nitrites/bacteria, and crystals using the methodologies mentioned. A principal components analysis was performed in order to examine the correlation between these parameters. Instrument accuracy was also assessed. The Spearman's statistic (p) showed an adequate agreement between methods for RBC (iQ200=0.473; UF-100=0.439; Atlas=0.525; Urisys=0.539), WBC (iQ200=0.695; UF-100=0.761; Atlas=0.684: Urisys=0.620), and bacteria/nitrites (iQ200=0.538; UF-100=0.647; Atlas=0.532; Urisys=0.561) counts. By applying the Wilcoxon and McNemar tests, a concordance degree was found between 82-99 and 52-95% for the values obtained from the two test strips analyzers considered and from the iQ200 and UF-100 systems, respectively. From these results, we can conclude that both test strips analyzers are similar and, on the other hand, that automated urinalysis is needed to improve precision and the response time; but sometimes manual microscopic revisions are required, mainly when flags, because of crystals, are detected.

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Section: Discussionsupporting

confidence: 66%

“…The particles that cannot be classified are reported as ''other cells.'' These alarms of problematic specimens have to be identified for manual microscopic urinalysis (14,15). It can analyze 100 samples in an hour.…”

Section: Quantitative Automated Urinalysis Systemsmentioning

confidence: 99%

Clinical laboratory automated urinalysis: comparison among automated microscopy, flow cytometry, two test strips analyzers, and manual microscopic examination of the urine sediments

Mayo

Acevedo

Quiñones-Torrelo

et al. 2008

Clinical Laboratory Analysis

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“…We did not determine the cellular origin of the miRNAs that we found in the urinary sediment. Previous studies suggested that both renal tubular cells and local inflammatory cells contribute to the total RNA in urine [10, 28]. Since the primary objective of our study is to identify urinary miRNA for diagnosis in routine clinical practice, we believe the cellular origin of miRNA may not be immediately relevant.…”

Section: Discussionmentioning

confidence: 98%

Urinary miRNA profile for the diagnosis of IgA nephropathy

Szeto

Wang

et al. 2019

BMC Nephrol

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Background IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. Urinary micro-RNA (miRNA) level is increasingly reported to as non-invasive markers of various kidney diseases. We aim to identify urinary miRNA targets for the diagnosis of IgAN. Methods In the development cohort, we performed complete miRNA profiling of urinary sediment in 22 patients with IgAN and 11 healthy controls (CTL). Potential miRNA targets were quantified by a separate validation cohort of 33 IgAN patients and 9 healthy controls. Results In the development cohort, we identified 39 miRNA targets that have significantly different expression between IgAN and CTL (14 up-regulated, and 25 down-regulated). Among the 8 miRNA targets chosen for validation study, urinary miR-204, miR-431 and miR-555 remained significantly reduced, and urinary miR-150 level was significantly increased in the IgAN as compared to CTL. The area-under-curve of the receiver operating characteristic (ROC) curve for urinary mi-204 level for the diagnosis of IgAN was 0.976, and the diagnostic performance of combining additional miRNA targets was not further improved. At the cut-off 1.70 unit, the sensitivity and specificity of urinary miR-204 was 100 and 55.5%, respectively, for diagnosing IgAN. Conclusions Urinary miR-150, miR-204, miR-431 and miR-555 levels are significantly different between IgAN and healthy controls; urinary miR-204 level alone has the best diagnostic accuracy. Electronic supplementary material The online version of this article (10.1186/s12882-019-1267-4) contains supplementary material, which is available to authorized users.

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“…12,13 However, there are technical difficulties in differentiating lymphocytes from other mononuclear cells by flow cytometry examination of urine. 14 Although flow cytometry with fluorescin-labelled monoclonal antibodies is highly sensitive and specific for cellular species in peripheral blood, other components in the urinary sediment, for example, mucus, amorphous or necrotic debris, may interfere with flow cytometry and limit the diagnostic accuracy. 15 In contrast, immunocytochemical staining of urinary cells is a reliable method to differentiate T lymphocyte and monocytemacrophage from other cell types in urinary sediment.…”

Section: Introductionmentioning

confidence: 99%

“…15 In contrast, immunocytochemical staining of urinary cells is a reliable method to differentiate T lymphocyte and monocytemacrophage from other cell types in urinary sediment. 14,16 In the present study, we aim to study the urinary mononuclear cell population of patients with lupus nephritis, and explore its correlation with lupus disease activity.…”

Section: Introductionmentioning

confidence: 99%

Urinary mononuclear cell and disease activity of systemic lupus erythematosus

Chan

Lai

et al. 2006

Lupus

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Mononuclear cells play a cardinal role in the pathogenesis of systemic lupus erythematosus (SLE). A high urine cytology score has been reported to be associated with lupus nephritis in relapse. The objective of this study was to examine the urinary mononuclear cell population of patients with lupus nephritis, and explore its correlation with lupus disease activity. We studied 12 patients with active lupus nephritis, 17 patients with lupus nephritis in remission, 12 SLE patients with no history of renal disease and 13 healthy subjects. Clinical disease activity was quantified by the SLE Disease Activity Index (SLEDAI). Mononuclear cell species in the urinary sediment were examined by immunocytochemistry. Patients with active lupus nephritis had significantly more mononuclear cells in the urinary sediment. The number of CD3+ cell was significantly elevated in the active lupus nephritis than the others (P < 0.001), while there was no significant difference in the number of CD20+ and CD56+ cell among patient groups. The total urinary mononuclear cell correlated significantly with the overall SLEDAI score (r = 0.58, P < 0.001) as well as the renal score (r = 0.57, P < 0.001). The number of urinary CD3+, but not CD20+ or CD56+, cell significantly correlated with the overall SLEDAI score (r = 0.46, P = 0.003) as well as the renal score (r = 0.40, p = 0.011). In nine patients with renal biopsy, the histological activity index correlated with the total urinary mononuclear cell (r = 0.75, P = 0.02), CD3+ (r = 0.69, P = 0.04) and CD20+ cell (r = 0.69, P = 0.04). We conclude that urinary mononuclear cell was markedly elevated in patients with active lupus, and the urinary mononuclear cell count correlated significantly with the SLEDAI score and histological activity. CD3+ and CD20+ cells are the major component of urinary mononuclear cell in SLE patients and their number correlates with lupus disease activity.

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Advances in the clinical laboratory assessment of urinary sediment

Cited by 20 publications

References 88 publications

Clinical laboratory automated urinalysis: comparison among automated microscopy, flow cytometry, two test strips analyzers, and manual microscopic examination of the urine sediments

Clinical laboratory automated urinalysis: comparison among automated microscopy, flow cytometry, two test strips analyzers, and manual microscopic examination of the urine sediments

Urinary miRNA profile for the diagnosis of IgA nephropathy

Urinary mononuclear cell and disease activity of systemic lupus erythematosus

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