title: Analytic performance of bacteriuria and leukocyturia obtained by UriSed in culture positive urinary tract infections.
abstract: BACKGROUND
  Urine analysis is one of the most common tests for assessing urinary-tract infections, which are the most frequently occurring infectious diseases in community populations. Urine culture is still the 'gold standard' for the detection of urinary tract infection, however, it is time- and labor-intensive and and has a high number of unnecessary cultures. The aim of this study was to evaluate the analytical and diagnostic performance of a new urinalysis system LabUMat with UriSed (77 Elektronika, Budapest, Hungary) in comparison to urine culture as the reference method.
  
  
  METHODS
  By comparing the test results for 965 urine samples with quantitative urine cultures, we established cutoff criteria for the UriSed. The cut-off values by the receiver operating characteristic (ROC) curve technique, sensitivity, and specificity were calculated for bacteria (BACT) and white blood cells (WBCs).
  
  
  RESULTS
  A bacterial cutoff value of 375/microL provided the best discrimination for community-acquired urinary tract infection, with a sensitivity of 96.5% and a specificity of 82.1% compared with 182 urine culture positive samples (AUC: 0.939). It was possible to forgo 62.6% of cultures with only 8 false-negative results. The best cut-off value for WBCs was 13/microL. When we used an algorithm in which the combination with the positivity for 85 BACT/microL and for 13 WBCs/microL count, the sensitivity and NPV improved to 99.8% and 100%, respectively, but the specificity declined from 78.8% to 52.0%.
  
  
  CONCLUSIONS
  When screening with the UriSed for community-acquired urinary tract infection, a cut-off value of 85 bacteria/microL and 13 WBCs/microL should be adopted. Diagnostic performance of UriSed is satisfactory and use of this instrument is a reliable method for screening out a major part of the culture negative samples. It would improve the efficiency of microbiology laboratory, and unnecessary antibiotic prescriptions could be reduced.
authors.affiliation: Training and Research Hospital, Department of Clinical Biochemistry, Kayseri, Turkey. ckarakukcu@hotmail.com
authors.forename: C
authors.initials: C
authors.lastname: Karakukcu
authors.forename: T
authors.initials: T
authors.lastname: Kayman
authors.forename: A
authors.initials: A
authors.lastname: Ozturk
authors.forename: Y A
authors.initials: YA
authors.lastname: Torun
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001437:Bacteriuria / Q000175:diagnosis* / Q000652:urine; D002648:Child; D002675:Child, Preschool; D017714:Community-Acquired Infections / Q000652:urine; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007958:Leukocyte Count; D007962:Leukocytes / Q000166:cytology*; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D016482:Urinalysis; D014552:Urinary Tract Infections / Q000175:diagnosis* / Q000382:microbiology / Q000652:urine; D014556:Urine / Q000166:cytology / Q000382:microbiology*; D055815:Young Adult