Journal of Chemistry and Biochemistry

Are All Small Particles Parameters in the iQ200 Auto Particle Recognition Software Have Any Benefit on Reduce the Urine Culture Number?
Tevfik Noyan, Özgül Gözlükaya, Sema Nur Ayyildiz, Yeliz Çetinkol, Fazilet Özenç Çakir, Soner Çankaya

Abstract
Objective: It was aimed to compare the Iris iQ200 auto particle recognition software (APRS) results with bacteriological urine culture results, and also investigate whether the different evaluation criteria are useful or not in bacteriuria identification in the present study. Methods: The based to iQ200 auto particle recognition software, test results were grouped into three as based to different criteria. The evaluation criteria of groups as follows: group A; WBCs =6/µL, leukocyte esterase, the presence of few or more bacteria or yeast, nitrite and an all small particle (ASP) count of =10,000, group B; WBCs =6/µL, leukocyte esterase, the presence of few or more bacteria or yeast and nitrite, and group C (WBCs =6/µL, leukocyte esterase and presence of few or more bacteria or yeast. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated for each group. Results: The diagnostic specifications of groups A, B, and C, respectively, were found as follows; sensitivity was 95.6%, 80.6%, and 87.1%, the specificity was 51.9%, 58.7%, and 37.8%, PPV was 36.6%, 52.7%, and 37%, and also NPV was 97.6%, 84.4%, and 87.5%, respectively. It was also found fair agreement between iQ200 Workstation and culture results in groups A (P<0.001, ?=0.278), and B (P<0.001, ?=0.353), and also slight agreement in group C (P<0.05, ?=0.179). Conclusion: Our study showed that agreement was highest in the analysis group which including ASP parameter. Addition of ASP to test combination apparently increased the diagnostic value of auto particle recognition software.

Full Text: PDF     DOI: 10.15640/jcb.v2n2a9