The accuracy of the sysmex uf-1000i in urine bacterial detection compared with the standard urine analysis and culture

Patrick Erdman, Brian Anderson, J. Christopher Zacko, Kirk Taylor, Keri Donaldson

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Context.-Urinary tract infections are characterized by the presence of microbial pathogens within the urinary tract. They represent one of the most common infections in hospitalized and clinic patients. Objectives.-To model the parameters of the Sysmex UF-1000i to the gold standard, urine culture, and to compare the detection of dipstick leukocyte esterase and nitrates to urine cultures and UF-1000i results. Design.-Data were compared from urine samples collected in sterile containers for bacterial culture and microscopic analysis. One sample was used to inoculate a 5% sheep blood agar and MacConkey agar plate using a 0.001-mL calibrated loop. The second sample was analyzed by urinalysis-associated microscopy. The media plates were investigated for growth after 18 to 24 hours of aerobic incubation at 378C. The second sample was analyzed for bacteria and leukocytes with the Sysmex UF- 1000i according to the manufacturer's guidelines. Three definitions for culture results, sensitivity, and specificity at different cutoff values were calculated for the UF-1000i. Results.-The negative predictive value for any positive culture in the adult population included in the study was 95.5%, and the negative predictive value for positive cultures containing growth of 100 000 or more colonyforming units was 99.3% using the Sysmex UF-1000i. Conclusions.-Sysmex UF-1000i showed 98% sensitivity and 93.7% specificity with a 95.5% negative predictive value. Thus, a negative screen with the UF-1000i using defined thresholds for white blood cell counts and bacteria was likely to be a true negative, decreasing the need for presumptive antibiotics.

Original languageEnglish (US)
Pages (from-to)1540-1543
Number of pages4
JournalArchives of Pathology and Laboratory Medicine
Issue number11
StatePublished - Nov 2017

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Medical Laboratory Technology


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