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Published on: December 1, 2017
Diagnostic Accuracy of Urine Flow Cytometry (UF) in Urinary Tract Infection (UTI) Detection and Management: A
Kai-Wei Chang1, Chung-You Tsai1,2,3, Shin-Mei Wong1
1Department of Urology, National Taiwan University Hospital, Taipei City 100225, Taiwan.
Abstract:
Background: Urinary tract infections (UTIs) are prevalent bacterial infections associated with significant morbidity and healthcare burden. Traditional diagnosis relies on urine culture, which is limited by long turnaround times and potential contamination. Automated urine flow cytometry, particularly the UF-5000 (Sysmex Corporation, Kobe, Japan), offers rapid and precise screening through bacterial and white blood cell (WBC) quantification. This systematic review and meta-analysis evaluates the diagnostic accuracy of the UF-5000 for UTI screening. Methods: We searched PubMed, Embase, Science Direct, and Web of Science for studies assessing the UF-5000's performance, including sensitivity and specificity, with a minimum sample size of 40 and at least 10 UTI cases. Quality assessment was performed using QUADAS-2. Pooled estimates for sensitivity, specificity, and agreement (kappa) were calculated using random-effects models. Results: Eighteen studies, encompassing 25,337 samples, were included in the analysis. Pooled sensitivity and specificity for bacterial count (nine studies) were 0.927 (95% CI, 0.872-0.959) and 0.751 (95% CI, 0.558-0.878), respectively. For WBC count (four studies), sensitivity was 0.897 (95% CI, 0.755-0.961) and specificity was 0.600 (95% CI, 0.293-0.844). The UF-5000 also demonstrated moderate agreement (pooled kappa 0.52, 95% CI, 0.08-0.79) in distinguishing Gram-negative bacteria. Conclusions: Despite heterogeneity across studies, the UF-5000 demonstrates high diagnostic accuracy, particularly high sensitivity, supporting its role as a useful UTI screening tool to rule out infection in clinical settings. The device further provides clinical value through its ability to assist in the differentiation of Gram-negative bacteria.
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