UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuria

Abstract This study evaluated the diagnostic value of the automated UF-5000 parameters and compared it with that of aberrant erythrocytes and acanthocytes classified by microscopy for identifying IgA glomerular hematuria to propose a predictive model for clinical use. It also compared correlations b...

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Main Authors: Shuangshuang Lv, Yi Fang, Xiaxuan Hu, Jian Zhang, Xinxin Lou, Caihong Chen, Lijiao Cao, Dongmei Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-85575-1
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author Shuangshuang Lv
Yi Fang
Xiaxuan Hu
Jian Zhang
Xinxin Lou
Caihong Chen
Lijiao Cao
Dongmei Zhang
author_facet Shuangshuang Lv
Yi Fang
Xiaxuan Hu
Jian Zhang
Xinxin Lou
Caihong Chen
Lijiao Cao
Dongmei Zhang
author_sort Shuangshuang Lv
collection DOAJ
description Abstract This study evaluated the diagnostic value of the automated UF-5000 parameters and compared it with that of aberrant erythrocytes and acanthocytes classified by microscopy for identifying IgA glomerular hematuria to propose a predictive model for clinical use. It also compared correlations between erythrocyte parameters and malformed erythrocytes. Urine samples from 53 biopsy-proven IgA hematuria cases and 143 non-IGA nephropathic hematuria cases as controls were analyzed. The ratio of small red blood cells to nonlysed red blood cells (UF-sRBC%) and lysed red blood cells (lysed RBCs) showed good diagnostic performance for IgA glomerular hematuria (area under the curve [AUC] = 0.857 [P = 0.000] and AUC = 0.860 [P = 0.000], respectively). Combining UF-sRBC%, lysed RBCs, and urine protein dry chemistry improved the diagnostic accuracy (AUC = 0.967; positive predictive value [PPV] = 91.89%; negative predictive value [NPV] = 93.10%; P = 0.000). This approach surpassed traditional microscopy for aberrant erythrocytes (AUC = 0.895; PPV = 62.27%; NPV = 88.66%; P = 0.008) and acanthocytes (AUC = 0.868; PPV = 72.97%; NPV = 83.65%; P = 0.006). The erythrocyte size index was negatively correlated with the proportion of urinary aberrant erythrocytes (r = − 0.787; P = 0.000). The UF-5000 erythrocyte parameters facilitate rapid identification of IgA nephropathy and could replace manual microscopy.
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spelling doaj-art-83813b73690e4ceeb6cc4ac8e48fef1d2025-01-12T12:19:34ZengNature PortfolioScientific Reports2045-23222025-01-0115111310.1038/s41598-025-85575-1UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuriaShuangshuang Lv0Yi Fang1Xiaxuan Hu2Jian Zhang3Xinxin Lou4Caihong Chen5Lijiao Cao6Dongmei Zhang7Clinical Laboratory, Dongyang People’s HospitalClinical Laboratory, Dongyang People’s HospitalClinical Laboratory, Dongyang People’s HospitalClinical Laboratory, Dongyang People’s HospitalClinical Laboratory, Dongyang People’s HospitalClinical Laboratory, Dongyang People’s HospitalClinical Laboratory, Dongyang People’s HospitalClinical Laboratory, Dongyang People’s HospitalAbstract This study evaluated the diagnostic value of the automated UF-5000 parameters and compared it with that of aberrant erythrocytes and acanthocytes classified by microscopy for identifying IgA glomerular hematuria to propose a predictive model for clinical use. It also compared correlations between erythrocyte parameters and malformed erythrocytes. Urine samples from 53 biopsy-proven IgA hematuria cases and 143 non-IGA nephropathic hematuria cases as controls were analyzed. The ratio of small red blood cells to nonlysed red blood cells (UF-sRBC%) and lysed red blood cells (lysed RBCs) showed good diagnostic performance for IgA glomerular hematuria (area under the curve [AUC] = 0.857 [P = 0.000] and AUC = 0.860 [P = 0.000], respectively). Combining UF-sRBC%, lysed RBCs, and urine protein dry chemistry improved the diagnostic accuracy (AUC = 0.967; positive predictive value [PPV] = 91.89%; negative predictive value [NPV] = 93.10%; P = 0.000). This approach surpassed traditional microscopy for aberrant erythrocytes (AUC = 0.895; PPV = 62.27%; NPV = 88.66%; P = 0.008) and acanthocytes (AUC = 0.868; PPV = 72.97%; NPV = 83.65%; P = 0.006). The erythrocyte size index was negatively correlated with the proportion of urinary aberrant erythrocytes (r = − 0.787; P = 0.000). The UF-5000 erythrocyte parameters facilitate rapid identification of IgA nephropathy and could replace manual microscopy.https://doi.org/10.1038/s41598-025-85575-1HematuriaIgA nephropathyMicroscopyErythrocytesAcanthocytes
spellingShingle Shuangshuang Lv
Yi Fang
Xiaxuan Hu
Jian Zhang
Xinxin Lou
Caihong Chen
Lijiao Cao
Dongmei Zhang
UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuria
Scientific Reports
Hematuria
IgA nephropathy
Microscopy
Erythrocytes
Acanthocytes
title UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuria
title_full UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuria
title_fullStr UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuria
title_full_unstemmed UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuria
title_short UF-5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing IgA glomerular hematuria
title_sort uf 5000 urinary erythrocyte parameters versus urinary aberrant erythrocytes and acanthocytes for diagnosing iga glomerular hematuria
topic Hematuria
IgA nephropathy
Microscopy
Erythrocytes
Acanthocytes
url https://doi.org/10.1038/s41598-025-85575-1
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