Lee Yongseop, Hyun JongHoon, Song Je Eun, Park Hyo Won, Yun I Ji, Kwak Yee Gyung, Kim Yong Chan
Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Division of Infectious Diseases, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea.
J Korean Med Sci. 2025 Mar 10;40(9):e30. doi: 10.3346/jkms.2025.40.e30.
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.
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.
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/µL; < 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/µL, 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.
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.
对于有症状表达困难的患者,区分无症状菌尿(ASB)和尿路感染(UTI)具有挑战性。本研究旨在评估尿白细胞在鉴别UTI和ASB中的诊断准确性,以及根据脓尿程度评估UTI患者的临床结局。
这项回顾性队列研究纳入了2022年7月至2023年6月期间两家医院尿培养阳性的患者。通过全面查阅病历诊断UTI和ASB。我们评估了UTI和ASB患者尿白细胞计数的差异。评估了尿白细胞鉴别UTI和ASB的诊断性能。为了根据脓尿程度研究临床结局,我们根据尿白细胞计数对上尿路感染患者进行分类。
在纳入的1793例合格菌尿患者中,1464例患有UTI,329例患有ASB。UTI患者的尿白细胞高于ASB患者(490.4对123.5个/微升;<0.001)。用于区分ASB和UTI的受试者工作特征曲线下面积为0.702。最佳尿白细胞截断值为195.35个/微升,敏感性和特异性分别为0.70和0.60。上尿路感染患者中,随着尿白细胞增加,继发性菌血症发生率呈序贯上升,而住院死亡率无相应趋势。
尿白细胞计数可用于预测UTI的发生及UTI继发的菌血症。更高程度的脓尿与菌血症相关,但与死亡率无关。尿白细胞计数可为症状不明确的菌尿患者提供补充信息。