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Urine Leukocyte Counts for Differentiating Asymptomatic Bacteriuria From Urinary Tract Infection and Predicting Secondary Bacteremia

Authors
 Lee, Yongseop  ;  Hyun, Jonghoon  ;  Song, Je Eun  ;  Park, Hyo Won  ;  Yun, I. Ji  ;  Kwak, Yee Gyung  ;  Kim, Yong Chan 
Citation
 JOURNAL OF KOREAN MEDICAL SCIENCE, Vol.40(9), 2025-03 
Article Number
 e30 
Journal Title
JOURNAL OF KOREAN MEDICAL SCIENCE
ISSN
 1011-8934 
Issue Date
2025-03
MeSH
Adult ; Aged ; Aged, 80 and over ; Area Under Curve ; Bacteremia* / diagnosis ; Bacteremia* / etiology ; Bacteriuria* / diagnosis ; Bacteriuria* / urine ; Diagnosis, Differential ; Female ; Humans ; Leukocyte Count ; Leukocytes / cytology ; Male ; Middle Aged ; Pyuria / diagnosis ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity ; Urinary Tract Infections* / complications ; Urinary Tract Infections* / diagnosis ; Urinary Tract Infections* / urine ; Urine* / cytology
Keywords
Asymptomatic Bacteriuria ; Urinary Tract Infection ; Leukocyte ; Urine ; Pyuria ; Bacteremia
Abstract
Background: Differentiating between asymptomatic bacteriuria (ASB) and urinary tract infection (UTI) is difficult in patients who have difficulty communicating their symptoms. This study aimed to evaluate the diagnostic accuracy of urine leukocytes in distinguishing between UTI and ASB, and the clinical outcomes of patients with UTI according to the degree of pyuria. Methods: This retrospective cohort study included patients with positive urine cultures between July 2022 and June 2023 at two hospitals. UTI and ASB were diagnosed through a comprehensive review of medical records. We evaluated the differences in urine leukocyte counts between patients with UTI and ASB. The diagnostic performance of urine leukocytes to differentiate between UTI and ASB was evaluated. To investigate the clinical outcomes based on the degree of pyuria, we classified patients with upper UTI according to their urine leukocyte counts. Results: Of the 1,793 eligible patients with bacteriuria included, 1,464 had UTI and 329 had ASB. Patients with UTI had higher urinary leukocytes than patients with ASB did (490.4 vs. 123.5 cells/mu L; P < 0.001). The area under the receiver operating characteristic curve was 0.702 for discriminating between ASB and UTI. The optimal urine leukocyte cutoff was 195.35 cells/L, with a sensitivity and specificity of 0.70 and 0.60, respectively. A sequential rise in secondary bacteremia rate was observed according to an increase in urine leukocytes in patients with upper UTI, whereas in-hospital mortality showed no corresponding trend. Conclusion: Urine leukocyte counts could be used to predict UTI occurrence and bacteremia secondary to UTI. Higher degrees of pyuria were associated with bacteremia but not with mortality. Urine leukocyte counts can provide additive information for patients with bacteriuria with vague symptoms.
Files in This Item:
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DOI
10.3346/jkms.2025.40.e30
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Yong Chan(김용찬)
Lee, Yongseop(이용섭)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/208804
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