Literature DB >> 10450033

Differential diagnosis between glomerular and nonglomerular hematuria by automated urinary flow cytometer. Kitasato University Kidney Center criteria.

T Hyodo1, K Kumano, T Sakai.   

Abstract

Objective, fast and easy methods have not been established in the examination of urine sediment to differentiate between glomerular and nonglomerular hematuria. In this study, we used a newly developed automated urinary flow cytometer that can clearly recognize red blood cells (RBC), white blood cells, epithelial cells, bacteria and crystals by their size and fluorescence intensity without sedimentation. 98 urine samples from 31 glomerular and 67 nonglomerular lesions were analyzed by the device, and the criteria to determine the origin of hematuria were established based on the results. Additional 108 cases were tested to evaluate the validity of these criteria. According to the analysis of histograms of urinary RBC size distribution, cases in whom >/=80% of all RBC have forward scatter (FSC) intensities </=126 and <80% of all RBC have FSC intensities >/=84 were regarded as representing the glomerular type. Cases in whom >/=80% of all RBC have intensities FCS >/=84 and <80% all RBC have FSC intensities </=126 were regarded as representing the nonglomerular type. Cases in whom <80% of all RBC have FSC intensities </=126 and <80% of all RBC have FCS intensities >/=84 were regarded as the mixed type. Cases in whom >/=80% of all RBC have FSC intensities </=126 and >/=80% of all RBC have FSC intensities >/=84 were regarded as the nonglomerular type. The sensitivity for glomerular RBC in the first 98 cases was 90.3% and the specificity 92.5%, and in the second 108 cases the values were 100 and 86.6%, respectively. The automated urinary flow cytometer is useful as a means for routine differential diagnosis of hematuria, and at least it is promising as the screening test for differentiation between glomerular and nonglomerular hematuria, because it can examine numerous samples within a short time and does not necessitate any special skill or knowledge.

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Year:  1999        PMID: 10450033     DOI: 10.1159/000045446

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  3 in total

Review 1.  [Hematuria in cases of bladder cancer].

Authors:  F Wawroschek; S Roth
Journal:  Urologe A       Date:  2003-02-25       Impact factor: 0.639

2.  Usefulness of an automated urinary flow cytometer in mass screening for nephritis.

Authors:  Kazunari Kaneko; Mutsumi Murakami; Kazumi Shiraishi; Masaru Matsumoto; Kuniaki Yamauchi; Teruo Kitagawa; Yuichiro Yamashiro
Journal:  Pediatr Nephrol       Date:  2004-03-12       Impact factor: 3.714

3.  Diagnostic Characteristics of Urinary Red Blood Cell Distribution Incorporated in UF-5000 for Differentiation of Glomerular and Non-Glomerular Hematuria.

Authors:  Hanwool Cho; Jaeeun Yoo; Hyunjung Kim; Hyunsik Jang; Yonggoo Kim; Hyojin Chae
Journal:  Ann Lab Med       Date:  2022-03-01       Impact factor: 3.464

  3 in total

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