Urine flow cytometry and detection of glomerular hematuria
-
Volkher Scharnhorst
, Paul G.G. Gerlag , Miel L. Nanlohy Manuhutu and Fedde van der Graaf
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.
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
©2006 by Walter de Gruyter Berlin New York
Articles in the same Issue
- Renal function – estimation of glomerular filtration rate
- Research translation: a new frontier for clinical laboratories
- Association of APOA5 c.553G>T polymorphism with type 2 diabetes mellitus in a Chinese population
- MTRR 66A>G polymorphism in relation to congenital heart defects
- Increased homocysteine in heart failure: a result of renal impairment?
- Urine flow cytometry and detection of glomerular hematuria
- Chymotrypsin effects on the determination of sperm parameters and seminal biochemistry markers
- Evaluation of cardiac involvement following major orthopedic surgery
- Increased sensitivity in detecting renal impairments by quantitative measurement of marker protein excretion compared to detection of pathological particles in urine sediment analysis
- Clinical chemistry reference values for 75-year-old apparently healthy persons
- Serum pro-hepcidin concentrations and their responses to oral iron supplementation in healthy subjects manifest considerable inter-individual variation
- Comparability of five analytical systems for the determination of triiodothyronine, thyroxine and thyroid-stimulating hormone
- Automated analysis of pleural fluid total and differential leukocyte counts with the Sysmex XE-2100
- Automation and validation of a fast method for the assessment of in vivo oxidative stress levels
- Analytical validation of the new plasma calibrated Accu-Chek® Test Strips (Roche Diagnostics)
- Use of insulin immunoassays in clinical studies involving rapid-acting insulin analogues: Bi-insulin IRMA preliminary assessment
- Analytical and clinical evaluation of a new heart-type fatty acid-binding protein automated assay
- A caveat for OV-Monitor (CA 125 antigen) measurement: something is improving, something is not
- Reply to the letter written by Dorizzi et al.
Articles in the same Issue
- Renal function – estimation of glomerular filtration rate
- Research translation: a new frontier for clinical laboratories
- Association of APOA5 c.553G>T polymorphism with type 2 diabetes mellitus in a Chinese population
- MTRR 66A>G polymorphism in relation to congenital heart defects
- Increased homocysteine in heart failure: a result of renal impairment?
- Urine flow cytometry and detection of glomerular hematuria
- Chymotrypsin effects on the determination of sperm parameters and seminal biochemistry markers
- Evaluation of cardiac involvement following major orthopedic surgery
- Increased sensitivity in detecting renal impairments by quantitative measurement of marker protein excretion compared to detection of pathological particles in urine sediment analysis
- Clinical chemistry reference values for 75-year-old apparently healthy persons
- Serum pro-hepcidin concentrations and their responses to oral iron supplementation in healthy subjects manifest considerable inter-individual variation
- Comparability of five analytical systems for the determination of triiodothyronine, thyroxine and thyroid-stimulating hormone
- Automated analysis of pleural fluid total and differential leukocyte counts with the Sysmex XE-2100
- Automation and validation of a fast method for the assessment of in vivo oxidative stress levels
- Analytical validation of the new plasma calibrated Accu-Chek® Test Strips (Roche Diagnostics)
- Use of insulin immunoassays in clinical studies involving rapid-acting insulin analogues: Bi-insulin IRMA preliminary assessment
- Analytical and clinical evaluation of a new heart-type fatty acid-binding protein automated assay
- A caveat for OV-Monitor (CA 125 antigen) measurement: something is improving, something is not
- Reply to the letter written by Dorizzi et al.