Advanced International Journal for Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Determination of Cut- off values of Bacteria and Leukocytes for urine analyzer FUS-1000 for the diagnosis of Urinary Tract Infection in adults

Author(s) Dr. Anshu Singhal, Sanjana Upadhyay, Namita Jaggi
Country India
Abstract AIM AND OBJECTIVE
The microscopic examination of urine is the most commonly performed screening tests in the clinical laboratory to diagnose and monitor patients with urinary tract infections (UTI's) as well as systemic conditions. Semi-quantitative urine culture by far is the 'gold standard' method for the diagnosis of UTI’s, but it is time consuming and labor intensive. This study aims to study the analytical and diagnostic performance of the FUS-1000 (Changchun Dirui Industry, China), a urine automated analyzer, and define an optimal cut-off value of bacteriuria and leukocyturia in comparison to the gold standard of urine culture using VITEK 2 at a tertiary care centre in Gurugram.
MATERIAL AND METHODS
This is a cross sectional study performed on 476 urine samples during April- August 2025 submitted for culture and urine routine analysis with a preliminary diagnosis of urinary tract infection. The study was conducted at Clinical Pathology laboratory at Artemis hospital, Gurugram. The cut- off values by receiver-operating characteristic (ROC) curve technique, sensitivity and specificity were calculated for leukocytes and bacteria.
RESULTS
Among the 476 urine samples submitted for culture, 246 cultures (51.6%) were positive and 230 (48.3%) were negative. The best cut-off values obtained from ROC analysis were 27 cells /µL for leukocyturia with a 68.94% sensitivity, 65.15%, specificity, a positive predictive value of 65.85%, a negative predictive value of 68.26%, positive likelihood ratio of 1.98 and accuracy of 67%. The best cut-off for the number of bacteria is 69 cells / µL with a sensitivity of 70.66%, specificity of 70.97%, positive predictive value of 74.39%, Negative predictive value of 67%, positive likelihood ratio of 2.64 and accuracy of 70.8% . The area under the curve (AUC) for the leukocyte and bacteria were 0.74 (95% CI: 0.70-0.79) and 0.78 (95%CI: 0.73-0.82) respectively.
CONCLUSION
The cut- off of 27 cells /µL for leukocyturia gives only moderate diagnostic performance. Compared to leukocyturia, bacteriuria cut-off at 69 cells /µL performs slightly better. Both the parameters can be used as a screening threshold. The test should be interpreted clinically along with other parameters such as nitrite, leukocyte esterase rather than relied on alone.
Keywords Urinary tract infection, adults, leukocyturia, bacteriuria, FUS-1000
Field Medical / Pharmacy
Published In Volume 7, Issue 1, January-February 2026
Published On 2026-02-06

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