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Evaluation of Five Automated Urine Analyzers as Screening Instruments for Enhancing Diagnostic Efficiency in Urinary Tract Infection

Authors
 조주영  ;  변정현  ;  이상국  ;  오경진  ;  전범찬  ;  용동은  ;  김정호 
Citation
 Annals of Clinical Microbiology, Vol.24(3) : 83-96, 2021-09 
Journal Title
Annals of Clinical Microbiology
ISSN
 2288-0585 
Issue Date
2021-09
Keywords
Automated urine analyzer ; Screening test ; Urine culture ; Urinary tract infections
Abstract
Background: Although urine culture is considered a reference standard for the diagnosis ofurinary tract infection (UTI), it is time-consuming, labor-intensive, and expensive. Here, weevaluated the performance of five recent automated urine analyzers for UTI diagnosis. Methods: For the 510 specimens analyzed, the criterion for ‘significant bacteriuria’ wasdefined as ≥ 104 CFU/mL in the inoculated plate for all specimens or ≥ 103 CFU/mL forspecimens from patients using a Foley catheter or with urinary symptoms. Sensitivity,specificity, positive predictive value (PPV), and negative predictive value (NPV) of UTI wereanalyzed using indicators individually, in different combinations, or with various cut-offvalues. Results: Seventy-one specimens (13.9%) exhibited ‘significant bacteriuria’. In the receiveroperating characteristics curve analysis, UF-5000 (Sysmex Corp., Japan) showed the highestarea under the curve values for both males and females (0.876 and 0.846, respectively). The PPVs for specimens from males with all indicators positive increased up to 100% afteradjusting the cut-off values. NPVs for specimens with all indicators negative were 94.3%–98.2% in males and 78.1%–93.8% in females after adjusting the cut-off values. Conclusion: As a rapid and accurate diagnostic tool, urine sediment analyzers can bevaluable for UTI diagnosis by reducing unnecessary culture and can help cliniciansdetermine a treatment plan.
DOI
10.5145/ACM.2021.24.3.3
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jeong Ho(김정호) ORCID logo https://orcid.org/0000-0003-2479-0548
Byun, Jung-Hyun(변정현)
Yong, Dong Eun(용동은) ORCID logo https://orcid.org/0000-0002-1225-8477
Lee, Sang-Guk(이상국) ORCID logo https://orcid.org/0000-0003-3862-3660
Cho, Jooyoung(조주영)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/187095
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