This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Ruifang An
The First Affiliated Hospital of Xi'an Jiaotong University
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: The purpose of this study was to determine whether any indexes of vaginal microecology evaluation system (VMES) could predict sexually transmitted infections (STIs).
Methods: A total of 1032 women, who presented to Gynecology Outpatient Clinic of the First Affiliated Hospital of Xi'an Jiaotong University between November 2016 and November 2020, were included in the study. Incident STIs was defined as any case of Chlamydia trachomatis (CT), Mycoplasma genitalium (MG) and Neisseria gonorrhoeae (NG), and were confirmed using the RNA-based simultaneous amplification and testing (SAT) assay. VEMS is structured in two parts, one is the morphological characterizations encompassing bacterial density, flora diversity, predominant flora, pathogenic microorganisms and indicators of inflammation, the other is the functional indexes, including vaginal pH, cleanliness, hydrogen peroxide (H2O2), sialidase, β-glucuronidase, leukocyte esterase, and acetylglucosaminidase. Bacterial vaginosis (BV) was diagnosed by Gram stain (Nugent score). Associations were mainly assessed using logistic regression (LR).
Results: SAT assay detected STIs in 64 (6.2%) of the 1032 samples tested and 136 (13.2%) women had a clinical BV diagnosis using Nugent score. Multivariate logistic regression analysis revealed that women with sialidase-positive were more likely to test positive for STIs (aOR=3.081, 95% CI=1.586-5.984, P=0.001). Of 896 women without clinical BV, significant association was also found for sialidase and STIs (aOR =4.133, 95% CI= 1.140-14.978, P=0.031).
Conclusions: Sialidase may be a useful indicator to help clinicians identify these women who are at risk for STIs, especially in the absence of BV population.
Keywords
vaginal microecology evaluation system, sexually transmitted infections, predictor, sialidase, Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma genitalium, bacterial vaginosis
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Ruifang An
The First Affiliated Hospital of Xi'an Jiaotong University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 13 Apr, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: The purpose of this study was to determine whether any indexes of vaginal microecology evaluation system (VMES) could predict sexually transmitted infections (STIs).
Methods: A total of 1032 women, who presented to Gynecology Outpatient Clinic of the First Affiliated Hospital of Xi'an Jiaotong University between November 2016 and November 2020, were included in the study. Incident STIs was defined as any case of Chlamydia trachomatis (CT), Mycoplasma genitalium (MG) and Neisseria gonorrhoeae (NG), and were confirmed using the RNA-based simultaneous amplification and testing (SAT) assay. VEMS is structured in two parts, one is the morphological characterizations encompassing bacterial density, flora diversity, predominant flora, pathogenic microorganisms and indicators of inflammation, the other is the functional indexes, including vaginal pH, cleanliness, hydrogen peroxide (H2O2), sialidase, β-glucuronidase, leukocyte esterase, and acetylglucosaminidase. Bacterial vaginosis (BV) was diagnosed by Gram stain (Nugent score). Associations were mainly assessed using logistic regression (LR).
Results: SAT assay detected STIs in 64 (6.2%) of the 1032 samples tested and 136 (13.2%) women had a clinical BV diagnosis using Nugent score. Multivariate logistic regression analysis revealed that women with sialidase-positive were more likely to test positive for STIs (aOR=3.081, 95% CI=1.586-5.984, P=0.001). Of 896 women without clinical BV, significant association was also found for sialidase and STIs (aOR =4.133, 95% CI= 1.140-14.978, P=0.031).
Conclusions: Sialidase may be a useful indicator to help clinicians identify these women who are at risk for STIs, especially in the absence of BV population.
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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