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 (>or=20 RBC/microL). 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.
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 (>or=20 RBC/microL). 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.