Evidence map›Paper›PMID 41891633›Full record

ArticleJournal of clinical laboratory analysis2026

Development of a Novel UPC (Urine Red Blood Cell Distribution, Proteinuria, and Serum Creatinine) Index to Differentiate Glomerular from Nonglomerular Hematuria.

Hae In Bang, Sun Min Lee, In Hee Lee, A-Jin Lee, Chang-Ho Jeon

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Article in Journal of clinical laboratory analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hae In BangDepartment of Laboratory Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7854-3011
Sun Min LeeDepartment of Laboratory Medicine, Pusan National University School of Medicine and Yangsan Hospital, Yangsan, Gyeongnam, Republic of Korea.ORCID https://orcid.org/0000-0002-8438-3365
In Hee LeeDepartment of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0003-3562-7586
A-Jin LeeDepartment of Laboratory Medicine, Daegu Catholic University Medical Center, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0002-8298-1652
Chang-Ho JeonDepartment of Laboratory Medicine, Daegu Catholic University Medical Center, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0002-7450-7117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrine red blood cell distribution (URD), defined as the percentage of small RBC fractions measured by the Sysmex UF-5000 analyzer, demonstrates diagnostic accuracy comparable to dysmorphic RBC analysis for distinguishing glomerular from nonglomerular hematuria. To improve diagnostic performance, we developed the UPC index, integrating URD with urine protein strip and serum creatinine values.

methodsWe analyzed 813 patients from three tertiary centers in Korea between December 2022 and December 2023. Patients were classified into four diagnostic categories: glomerular diseases (GD, N = 285), renal diseases (RD, N = 286), extrarenal diseases (ERD, N = 197), and isolated hematuria (IH, N = 45). The RD group included acute kidney injury (AKI), chronic kidney disease (CKD), nephrotic syndrome (NS), and tubulointerstitial disease (TID). Data included urinalysis and renal function parameters.

resultsIn distinguishing GD from ERD, the UPC index demonstrated the highest diagnostic performance, with an area under the curve (AUC) of 0.857. This outperformed other parameters, including URD (AUC = 0.779), albumin-creatinine ratio (ACR; 0.746), protein-creatinine ratio (PCR; 0.648), serum creatinine (0.555), and blood urea nitrogen (BUN; 0.528). Among patients with renal diseases, the UPC index showed a significant difference between the CKD, AKI, and NS groups compared to the TID group, whereas URD values did not show a significant difference between CKD and TID. At a cut-off value of 3.99, UPC achieved a sensitivity of 86.7% and specificity of 73.1% for identifying GD.

conclusionUPC is a reliable and objective screening index suggestive of glomerular hematuria, with better performance than URD in a conservative reference framework.

Indexed as

CreatinineHematuriaProteinuriaAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedCreatininearea under the curvehematuriarenal disease

Identifiers

PMID41891633
PMCPMC13107412

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