Home Medicine Urine flow cytometry and detection of glomerular hematuria
Article
Licensed
Unlicensed Requires Authentication

Urine flow cytometry and detection of glomerular hematuria

  • Volkher Scharnhorst , Paul G.G. Gerlag , Miel L. Nanlohy Manuhutu and Fedde van der Graaf
Published/Copyright: November 7, 2006

Abstract

Background: The UF-100 is a flow cytometer designed for automated cellular urinalysis. In this study, the usefulness of the UF-100 in laboratory investigation into the origin of hematuria was evaluated.

Methods: Results from flow cytometric urinalysis were used to classify urinary red blood cells (RBCs) according to glomerular and non-glomerular origin and the classification was compared to the patient's clinical diagnosis as the gold standard. In parallel, microscopic sediment analysis was carried out.

Results: A total of 206 urine samples from 129 patients were analyzed (127 from patients with glomerular hematuria, 79 from patients with non-glomerular hematuria). Of these, 136 samples (92 patients) showed overt hematuria (≥20RBC/μL). Urine flow cytometry correctly classified 61% (sediment analysis 69%) of urine samples with overt hematuria. If inconclusive results are excluded, the UF-100 correctly diagnosed 85% (sediment analysis 98%) of urine samples with overt hematuria. The UF-100 and microscopic sediment analysis both showed sensitivity of 99% for the detection of glomerular hematuria. The specificity of the UF-100 for the detection of glomerular bleeding was lower (42%) than the specificity of microscopic sediment analysis (93%).

Conclusions: Owing to its low specificity, the UF-100 showed limited capacity to discriminate glomerular from non-glomerular causes of hematuria in a population with a high incidence of renal disease. Therefore, extensive microscopic urinalysis remains necessary to assess the origin of hematuria.

Clin Chem Lab Med 2006;44:1330–4.


Corresponding author: Dr. Volkher Scharnhorst, Clinical Chemistry and Hematology Laboratory, Atrium Medical Center, P.O. Box 4446, 6401 CX Heerlen, The Netherlands Fax: +31-45-5766973,

References

1. Messing EM, Young TB, Hunt VB, Emoto SE, Wehbie JM. The significance of asymptomatic microhematuria in men 50 or more years old: findings of a home screening study using urinary dipsticks. J Urol 1987; 137:919–22.10.1016/S0022-5347(17)44294-7Search in Google Scholar

2. Britton JP, Dowell AC, Whelan P. Dipstick haematuria and bladder cancer in men over 60: results of a community study. Br Med J 1989; 299:1010–2.10.1136/bmj.299.6706.1010Search in Google Scholar

3. Birch DF, Fairley KF. Haematuria: glomerular or non-glomerular? Lancet 1979; 2:845–6.10.1016/S0140-6736(79)92191-3Search in Google Scholar

4. Fairley KF, Birch DF. Hematuria: a simple method for identifying glomerular bleeding. Kidney Int 1982; 21:105–8.10.1038/ki.1982.16Search in Google Scholar PubMed

5. Pollock C, Liu PL, Gyory AZ, Grigg R, Gallery ED, Caterson R, et al. Dysmorphism of urinary red blood cells-value in diagnosis. Kidney Int 1989; 36:1045–9.10.1038/ki.1989.299Search in Google Scholar PubMed

6. Köhler H, Wandel E, Brunck B. Acanthocyturia – a characteristic marker for glomerular bleeding. Kidney Int 1991; 40:115–20.10.1038/ki.1991.188Search in Google Scholar PubMed

7. Fogazzi GB, Leong SO. The erythrocyte cast. Nephrol Dial Transplant 1996; 11:1649–52.10.1093/oxfordjournals.ndt.a027633Search in Google Scholar

8. Winkel P, Statland BE, Jorgensen K. Urine microscopy, an ill-defined method, examined by a multifactorial technique. Clin Chem 1974; 20:436–9.10.1093/clinchem/20.4.436Search in Google Scholar

9. Venkat Raman G, Pead L, Lee HA, Maskell R. A blind controlled trial of phase-contrast microscopy by two observers for evaluating the source of haematuria. Nephron 1986; 44:304–8.10.1159/000184011Search in Google Scholar PubMed

10. National Committee for Clinical Laboratory Standards. Urinalysis and collection, transportation and preservation of urine specimens; approved guideline. Document GP-16A. Wayne, PA: NCCLS, 1995.Search in Google Scholar

11. European Confederation of Laboratory Medicine. European urinalysis guidelines. Scand J Clin Lab Invest Suppl 2000;231:1–86.10.1080/00365513.2000.12056993Search in Google Scholar

12. Fenili D, Pirovano B. The automation of sediment urinalysis using a new urine flow cytometer (UF-100). Clin Chem Lab Med 1998; 36:909–17.10.1515/CCLM.1998.158Search in Google Scholar

13. Hannemann-Pohl K, Kampf SC. Automation of urine sediment examination: a comparison of the Sysmex UF-100 automated flow cytometer with routine manual diagnosis (microscopy, test strips, and bacterial culture). Clin Chem Lab Med 1999; 37:753–64.10.1515/CCLM.1999.116Search in Google Scholar

14. Delanghe JR, Kouri TT, Huber AR, Hannemann-Pohl K, Guder WG, Lun A, et al. The role of automated urine particle flow cytometry in clinical practice. Clin Chim Acta 2000; 301:1–18.10.1016/S0009-8981(00)00342-9Search in Google Scholar

15. Regeniter A, Haenni V, Risch L, Kochli HP, Colombo JP, Frei R, et al. Urine analysis performed by flow cytometry: reference range determination and comparison to morphological findings, dipstick chemistry and bacterial culture results – a multicenter study. Clin Nephrol 2001; 55:384–92.Search in Google Scholar

16. Shichiri M, Hosoda K, Nishio Y, Ogura M, Suenaga M, Saito H, et al. Red-cell-volume distribution curves in diagnosis of glomerular and non-glomerular haematuria. Lancet 1988; 1:908–11.10.1016/S0140-6736(88)91715-1Search in Google Scholar

17. Kouri TT, Kahkonen U, Malminiemi K, Vuento R, Rowan RM. Evaluation of Sysmex UF-100 urine flow cytometer vs. chamber counting of supravitally stained specimens and conventional bacterial cultures. Am J Clin Pathol 1999; 112:25–35.10.1093/ajcp/112.1.25Search in Google Scholar

18. Sysmex Corporation. Clinical case study 2. Kobe, Japan: Sysmex, 2001:13–4.Search in Google Scholar

19. Hyodo T, Kumano K, Sakai T. Differential diagnosis between glomerular and nonglomerular hematuria by automated urinary flow cytometer. Kitasato University Kidney Center criteria. Nephron 1999; 82:312–23.10.1159/000045446Search in Google Scholar

20. Apeland T, Mestad O, Hetland O. Assessment of haematuria: automated urine flowmetry vs. microscopy. Nephrol Dial Transplant 2001; 16:1615–19.10.1093/ndt/16.8.1615Search in Google Scholar

21. Gai M, Piccoli GB, Segoloni GP, Lanfranco G. Microscopic urinalysis and automated flow cytometry in a nephrology laboratory. Clin Chem 2003; 49:1559–60.10.1373/49.9.1559Search in Google Scholar

22. Game X, Soulie M, Fontanilles A, Benoit J-M, Corberand J-X, Plante P. Comparison of red blood cell volume distribution curves and phase-contrast microscopy in localization of the origin of hematuria. Urology 2003; 61:507–11.10.1016/S0090-4295(02)02251-3Search in Google Scholar

Received: 2006-6-23
Accepted: 2006-8-23
Published Online: 2006-11-7
Published in Print: 2006-11-1

©2006 by Walter de Gruyter Berlin New York

Articles in the same Issue

  1. Renal function – estimation of glomerular filtration rate
  2. Research translation: a new frontier for clinical laboratories
  3. Association of APOA5 c.553G>T polymorphism with type 2 diabetes mellitus in a Chinese population
  4. MTRR 66A>G polymorphism in relation to congenital heart defects
  5. Increased homocysteine in heart failure: a result of renal impairment?
  6. Urine flow cytometry and detection of glomerular hematuria
  7. Chymotrypsin effects on the determination of sperm parameters and seminal biochemistry markers
  8. Evaluation of cardiac involvement following major orthopedic surgery
  9. Increased sensitivity in detecting renal impairments by quantitative measurement of marker protein excretion compared to detection of pathological particles in urine sediment analysis
  10. Clinical chemistry reference values for 75-year-old apparently healthy persons
  11. Serum pro-hepcidin concentrations and their responses to oral iron supplementation in healthy subjects manifest considerable inter-individual variation
  12. Comparability of five analytical systems for the determination of triiodothyronine, thyroxine and thyroid-stimulating hormone
  13. Automated analysis of pleural fluid total and differential leukocyte counts with the Sysmex XE-2100
  14. Automation and validation of a fast method for the assessment of in vivo oxidative stress levels
  15. Analytical validation of the new plasma calibrated Accu-Chek® Test Strips (Roche Diagnostics)
  16. Use of insulin immunoassays in clinical studies involving rapid-acting insulin analogues: Bi-insulin IRMA preliminary assessment
  17. Analytical and clinical evaluation of a new heart-type fatty acid-binding protein automated assay
  18. A caveat for OV-Monitor (CA 125 antigen) measurement: something is improving, something is not
  19. Reply to the letter written by Dorizzi et al.
Downloaded on 7.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/CCLM.2006.248/html
Scroll to top button