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尿微生物群在脓尿培养阴性患者中的作用。

The role of urine microbiota in culture-negative patients with pyuria.

作者信息

Li Jipeng, Zhang Yuting, He Lijie

机构信息

Department of Nephrology, State Key Laboratory of Cancer Biology & Institute of Digestive Diseases, Xijing Hospital, the Air Force Medical University, Xi'an, Shaan xi, China.

出版信息

World J Urol. 2025 Apr 17;43(1):227. doi: 10.1007/s00345-025-05620-6.

Abstract

BACKGROUND

Pyuria is usually caused by bacteria and usually results in antibiotic prescriptions. However, traditional urine culture is time-consuming and has a high false negative possibility. Additionally, the role of urine viruses in pyuria is unclear. Metagenomics can enhance the precision and efficiency of diagnosis by directly sequencing the microbiota in urine. We aimed to determine the association of urine microbiota in patients with or without pyuria and culture negative.

METHODS

In this retrospective study, we screened urine samples from patients who received whole genome sequencing (WGS) and had a negative urine culture from October 2021 to May 2024. We compared differences in the top 10 detected genera of urine microbiota between the pyuria group and the non-pyuria group. Multivariable analysis was used for correlation analysis and performed to odds ratio (OR) and OR with 95% confidence interval (CI). The receiver operating characteristic (ROC) curve analyses tested the predictive ability of associated microbiota to pyuria.

RESULTS

We found 29 microbial genera including 2 viral genera. Escherichia [OR 11.688 (95%CI 2.190-62.362), p = 0.004], Gardnerella [OR 9.904 (95%CI 2.180-45.005), p = 0.003] or Polyomavirus [OR 5.205 (95%CI 1.295-20.919), p = 0.020] was associated with the independent risk factors of pyuria, while Lactobacillus was associated with a decreased risk of pyuria [OR 17.273 (95%CI 1.297-230.061), p = 0.031]. An integrated logistic regression model of Escherichia, Gardnerella, Polyomavirus, and Lactobacillus exhibited a predictive power for pyuria with the area under curve (AUC) of 0.8132 [95%CI (0.7098-0.9167), p < 0.001].

CONCLUSION

Urine microbiota is diverse. Escherichia, Gardnerella, or Polyomavirus are independently associated with pyuria, while Lactobacillus is a positive factor against pyuria.

摘要

背景

脓尿通常由细菌引起,通常会导致抗生素处方。然而,传统的尿培养耗时且假阴性可能性高。此外,尿液病毒在脓尿中的作用尚不清楚。宏基因组学可以通过直接对尿液中的微生物群进行测序来提高诊断的准确性和效率。我们旨在确定有或无脓尿且培养阴性患者的尿液微生物群的关联。

方法

在这项回顾性研究中,我们筛选了2021年10月至2024年5月接受全基因组测序(WGS)且尿培养阴性的患者的尿液样本。我们比较了脓尿组和非脓尿组尿液微生物群中检测到的前10个属的差异。多变量分析用于相关性分析,并计算比值比(OR)和95%置信区间(CI)的OR。受试者工作特征(ROC)曲线分析测试了相关微生物群对脓尿的预测能力。

结果

我们发现了29个微生物属,包括2个病毒属。大肠杆菌[OR 11.688(95%CI 2.190 - 62.362),p = 0.004]、加德纳菌属[OR 9.904(95%CI 2.180 - 45.005),p = 0.003]或多瘤病毒[OR 5.205(95%CI 1.295 - 20.919),p = 0.020]与脓尿的独立危险因素相关,而乳酸杆菌与脓尿风险降低相关[OR 17.273(95%CI 1.297 - 230.061),p = 0.031]。大肠杆菌、加德纳菌属、多瘤病毒和乳酸杆菌的综合逻辑回归模型对脓尿具有预测能力,曲线下面积(AUC)为0.8132 [95%CI(0.7098 - 0.9167),p < 0.001]。

结论

尿液微生物群是多样的。大肠杆菌、加德纳菌属或多瘤病毒与脓尿独立相关,而乳酸杆菌是预防脓尿的积极因素。

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