• Department of Clinical Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
SUJun, Email: daisy2667@163.com
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Objective To investigate the feasibility of quantitative detection of WBC count and bacteria count with UF-1000i urinary sediment analyzer in rapid screening for urinary tract infection by receiver operator characteristic (ROC) curve. Methods From August to December 2013, we used quantitative bacterial culture and UF-1000i automatic urine sediment analyzer respectively to examine asepsis urine specimens of 218 patients with suspected urinary tract infection. Among them, there were 95 males and 123 females, with an average age of 54.7 years old. Results Among the 218 urinary samples, 65 were culture positive specimens. With positive urine culture as the gold standard for making ROC curve, the area under ROC curve for WBC count and bacterial numbers by UF-1000i urine sediment analyzer were respectively 0.839 and 0.894. The cut-off values of Youden index for optimal WBC cell count and bacterial count were ≥31.0/μL and 38.8/μL, respectively. When the above numbers were used as cut-off values, the WBC count sensitivity and specificity were 78.3% and 80.4%, the positive likelihood ratio was 3.99, and the negative likelihood ratio was 1.11. And the bacterial count sensitivity and specificity were 84.3% and 80.6%, the positive likelihood ratio was 4.30, and the negative likelihood ratio was 0.80. Conclusion Using white blood cell count ≥31/μL and bacterial count ≥38.8/μL detected by UF-1000i urine sediment analyzer as the cut off values of noninvasive screening indexes has a very important value in screening for urinary tract infection in the early stage, determining whether there is a need for urine culture, and guiding clinical rational application of antibiotics

Citation: MAOZhi-gang, WANGXia, JINYong-mei, XIONGMing, ZHENGQin, SUJun. Research on the Application of UF-1000i Urine Sediment Analyzer in Rapid Urinary Tract Infection Screening by Receiver Operator Characteristic Curve. West China Medical Journal, 2014, 29(6): 1092-1095. doi: 10.7507/1002-0179.20140333 Copy

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