Title: Automated Flow Cytometry Compared with an Automated Dipstick Reader for Urinalysis
Abstract:Abstract Recently, the Sysmex UF-100 flow cytometer was developed to automate urinalysis. We compared UF-100 test results with those of an automated dipstick reader. A cross-check of UF-100, dipstick,...Abstract Recently, the Sysmex UF-100 flow cytometer was developed to automate urinalysis. We compared UF-100 test results with those of an automated dipstick reader. A cross-check of UF-100, dipstick, and microscopic sediment data was performed in 1001 urine samples. Good agreements (P <0.001) were obtained between UF-100 and dipstick data for erythrocytes (r = 0.636) and leukocytes (r = 0.785). Even in urine with low conductivity, the UF-100 could detect lysed erythrocytes. The UF-100 bacterial count was higher among nitrite-positive urine samples (P <0.0001) and was positively correlated with the UF-100 leukocyte count (r = 0.745; P <0.001). In stored urine (24 h), bacterial counts increased, whereas the forward light scatter of leukocytes decreased (P <0.01). Casts and yeast cells reported by the UF-100 should be confirmed by microscopic review because false positives occurred. We suggest that a computer-assisted cross-check of UF-100 and dipstick data allows a clinically acceptable sieving system to reduce the workload of microscopic sediment urinalysis.Read More
Publication Year: 1999
Publication Date: 1999-01-01
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
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Cited By Count: 86
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Title: $Automated Flow Cytometry Compared with an Automated Dipstick Reader for Urinalysis
Abstract: Abstract Recently, the Sysmex UF-100 flow cytometer was developed to automate urinalysis. We compared UF-100 test results with those of an automated dipstick reader. A cross-check of UF-100, dipstick, and microscopic sediment data was performed in 1001 urine samples. Good agreements (P <0.001) were obtained between UF-100 and dipstick data for erythrocytes (r = 0.636) and leukocytes (r = 0.785). Even in urine with low conductivity, the UF-100 could detect lysed erythrocytes. The UF-100 bacterial count was higher among nitrite-positive urine samples (P <0.0001) and was positively correlated with the UF-100 leukocyte count (r = 0.745; P <0.001). In stored urine (24 h), bacterial counts increased, whereas the forward light scatter of leukocytes decreased (P <0.01). Casts and yeast cells reported by the UF-100 should be confirmed by microscopic review because false positives occurred. We suggest that a computer-assisted cross-check of UF-100 and dipstick data allows a clinically acceptable sieving system to reduce the workload of microscopic sediment urinalysis.