Background <p>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.</p> Methods <p>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.</p> Results <p>We found 29 microbial genera including 2 viral genera. <i>Escherichia</i> [OR 11.688 (95%CI 2.190-62.362), <i>p</i> = 0.004], <i>Gardnerella</i> [OR 9.904 (95%CI 2.180–45.005), <i>p</i> = 0.003] or <i>Polyomavirus</i> [OR 5.205 (95%CI 1.295–20.919), <i>p</i> = 0.020] was associated with the independent risk factors of pyuria, while <i>Lactobacillus</i> was associated with a decreased risk of pyuria [OR 17.273 (95%CI 1.297–230.061), <i>p</i> = 0.031]. An integrated logistic regression model of <i>Escherichia</i>, <i>Gardnerella</i>, <i>Polyomavirus</i>, and <i>Lactobacillus</i> exhibited a predictive power for pyuria with the area under curve (AUC) of 0.8132 [95%CI (0.7098–0.9167), <i>p</i> &lt; 0.001].</p> Conclusion <p>Urine microbiota is diverse. Escherichia, Gardnerella, or Polyomavirus are independently associated with pyuria, while Lactobacillus is a positive factor against pyuria.</p>

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

  • Jipeng Li,
  • Yuting Zhang,
  • Lijie He

摘要

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.