BACKGROUND: Several automated instruments examining urine sediment have been introduced. We compared the performance of Sysmex UF-100 and Iris iQ200 with manual microscopy in urine sediment testing. METHODS: Four hundred and thirty-six urine samples were collected. The urine sediments were examined by manual microscopy and these 2 automated urinalysis systems. RESULTS: The within-run CVs for urine samples ranged from 3.4% to 22.3% for the iQ200, 1.6% to 24.2% for the UF-100 and 12.5% to 43.9% for manual microscopy. Between-run CVs on quality-control samples ranged from 6.1% to 32.4% for the iQ200 and 3.5% to 24.7% for the UF-100. The agreement between methods was good for red blood cells and white blood cells counts based on r values of 0.935 to 0.968. However, for epithelial cells, the values measured by different systems were poorly correlated (r=0.888-0.922). The Bland-Altman plot indicated a trend towards the automated cell count being greater than the manual microscopy as the epithelial cell count increased. Casts were difficulty differentiated by 2 automated systems. CONCLUSIONS: These 2 automated urinalysis systems demonstrated good concordance with each other in urine sediment examination. The automated process could be used as a screening procedure but some manual microscopy was still necessary.
BACKGROUND: Several automated instruments examining urine sediment have been introduced. We compared the performance of Sysmex UF-100 and Iris iQ200 with manual microscopy in urine sediment testing. METHODS: Four hundred and thirty-six urine samples were collected. The urine sediments were examined by manual microscopy and these 2 automated urinalysis systems. RESULTS: The within-run CVs for urine samples ranged from 3.4% to 22.3% for the iQ200, 1.6% to 24.2% for the UF-100 and 12.5% to 43.9% for manual microscopy. Between-run CVs on quality-control samples ranged from 6.1% to 32.4% for the iQ200 and 3.5% to 24.7% for the UF-100. The agreement between methods was good for red blood cells and white blood cells counts based on r values of 0.935 to 0.968. However, for epithelial cells, the values measured by different systems were poorly correlated (r=0.888-0.922). The Bland-Altman plot indicated a trend towards the automated cell count being greater than the manual microscopy as the epithelial cell count increased. Casts were difficulty differentiated by 2 automated systems. CONCLUSIONS: These 2 automated urinalysis systems demonstrated good concordance with each other in urine sediment examination. The automated process could be used as a screening procedure but some manual microscopy was still necessary.
Authors: Anne Russcher; Elske Kusters; Ron Wolterbeek; Ed J Kuijper; Christa M Cobbaert; Martha T van der Beek Journal: J Clin Microbiol Date: 2015-10-21 Impact factor: 5.948
Authors: Isaac E Hall; Steven G Coca; Mark A Perazella; Umo U Eko; Randy L Luciano; Patricia R Peter; Won K Han; Chirag R Parikh Journal: Clin J Am Soc Nephrol Date: 2011-10-27 Impact factor: 8.237
Authors: Mark A Perazella; Steven G Coca; Isaac E Hall; Umo Iyanam; Madiha Koraishy; Chirag R Parikh Journal: Clin J Am Soc Nephrol Date: 2010-01-14 Impact factor: 8.237