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Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases
Hematuria, either glomerular or extraglomerular, is defined as 3 or more red blood cells (RBCs)/high power field. Currently, urinalyses are commonly performed using automated urine sediment analyzers. To assess whether RBC counting by automated urine sediment analyzers is reliable for defining hemat...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546052/ https://www.ncbi.nlm.nih.gov/pubmed/34697364 http://dx.doi.org/10.1038/s41598-021-00457-6 |
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author | Yang, Won Seok |
author_facet | Yang, Won Seok |
author_sort | Yang, Won Seok |
collection | PubMed |
description | Hematuria, either glomerular or extraglomerular, is defined as 3 or more red blood cells (RBCs)/high power field. Currently, urinalyses are commonly performed using automated urine sediment analyzers. To assess whether RBC counting by automated urine sediment analyzers is reliable for defining hematuria in glomerular disease, random specimen urinalyses of men with nephritic glomerular disease (7674 urinalyses) and bladder cancer (12,510 urinalyses) were retrospectively reviewed. Urine RBCs were counted by an automated urine sediment analyzer based on flow cytometry (UF-1000i, Sysmex Corporation) or digital image analysis (Cobas 6500, Roche Diagnostics GmbH). In about 20% of urine specimens, the specific gravity was less than 1.010, making the RBC counts unreliable. In the urine specimens with specific gravity ≥ 1.010, RBC counts measured using either UF-1000i or Cobas 6500 were well correlated with the positive grades in the dipstick blood test. However, at a trace, 1+, or higher positive dipstick tests for blood, RBC counts were graded significantly lower in glomerular disease than in bladder cancer. The findings suggest that RBC counting by UF-1000i or Cobas 6500 underestimates the severity of hematuria in glomerular disease, possibly because dysmorphic RBCs in glomerular disease are susceptible to hemolysis and/or fail to be properly recognized. |
format | Online Article Text |
id | pubmed-8546052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85460522021-10-27 Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases Yang, Won Seok Sci Rep Article Hematuria, either glomerular or extraglomerular, is defined as 3 or more red blood cells (RBCs)/high power field. Currently, urinalyses are commonly performed using automated urine sediment analyzers. To assess whether RBC counting by automated urine sediment analyzers is reliable for defining hematuria in glomerular disease, random specimen urinalyses of men with nephritic glomerular disease (7674 urinalyses) and bladder cancer (12,510 urinalyses) were retrospectively reviewed. Urine RBCs were counted by an automated urine sediment analyzer based on flow cytometry (UF-1000i, Sysmex Corporation) or digital image analysis (Cobas 6500, Roche Diagnostics GmbH). In about 20% of urine specimens, the specific gravity was less than 1.010, making the RBC counts unreliable. In the urine specimens with specific gravity ≥ 1.010, RBC counts measured using either UF-1000i or Cobas 6500 were well correlated with the positive grades in the dipstick blood test. However, at a trace, 1+, or higher positive dipstick tests for blood, RBC counts were graded significantly lower in glomerular disease than in bladder cancer. The findings suggest that RBC counting by UF-1000i or Cobas 6500 underestimates the severity of hematuria in glomerular disease, possibly because dysmorphic RBCs in glomerular disease are susceptible to hemolysis and/or fail to be properly recognized. Nature Publishing Group UK 2021-10-25 /pmc/articles/PMC8546052/ /pubmed/34697364 http://dx.doi.org/10.1038/s41598-021-00457-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Won Seok Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases |
title | Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases |
title_full | Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases |
title_fullStr | Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases |
title_full_unstemmed | Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases |
title_short | Automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases |
title_sort | automated urine sediment analyzers underestimate the severity of hematuria in glomerular diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546052/ https://www.ncbi.nlm.nih.gov/pubmed/34697364 http://dx.doi.org/10.1038/s41598-021-00457-6 |
work_keys_str_mv | AT yangwonseok automatedurinesedimentanalyzersunderestimatetheseverityofhematuriainglomerulardiseases |