Associations of sexually transmitted infections and bacterial vaginosis with abnormal cervical cytology: A cross-sectional survey with 9090 community women in China

Li, Wu; Liu, Lanlan; Luo, Zhenzhou; Han, Chen; Wu, Qiuhong; Zhang, Li; Tian, Lu; Yuan, Jing; Zhang, Tao; Chen, Zhongwei; Yang, Tubao; Feng, Tiejian; Zhang, Min; Chen, Xiang-Sheng

doi:10.1371/journal.pone.0230712

Cited by 10 publications

(11 citation statements)

References 40 publications

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“…This paper employs molecular methods to investigate the prevalence of BV in women of reproductive age but also the association between vaginal dysbiosis and some of the most frequent STI pathogens. Investigations into the association of BV and STIs traditionally use Nugent or Amsel which are the gold standard in BV diagnostic method [10][11][12][13]. We have used RT-PCR diagnostic testing for BV in the study because there are reaserch that demonstrate shortcomings in the application of the Amsel and Nugent criterion methods 15].…”

Section: Discussionmentioning

confidence: 99%

Association of bacterial vaginosis with the most common sexually transmitted infections

et al. 2022

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Introduction/Objective. Bacterial vaginosis (BV) is the most common vaginal dysbiosis that enlarge a possibility of getting sexually transmitted infections (STI). The aims of this research is to examine association between BV and the nine most common causes of STIs (Chlamydia trachomatis, Mycoplasma genitalium, Mycoplasma hominis, Ureaplasma spp, Trichomonas vaginalis, Neisseria gonorrhoeae, high-risk Human papilloma viruses and Herpes simplex virus type 1 and 2) and to determine if the presence of BV increase the probability of coinfection with any of the STIs microorganisms. Methods. This study involved 235 patients of reproductive age. One sample swab was collected each for vaginal and cervical testing. The vaginal swabs were used for detection of BV by RT-PCR test. The cervical swabs were used for the detection of the most common STIs which were tested by four different multiplex RT-PCR tests. Pearson?s ?2 test and Fisher?s probability test were used for statistical analysis of the results. Results. Comparison of the total number of STIs and the condition of the vaginal flora has shown that STIs are the most common in patients with BV 80 (89.9%). Women with BV have a higher frequency of infections with Ureaplasma spp. and M. Hominis, 71 (78.9%) and 50 (44.4%), respectively. The presence of detected STI pathogens and relation with the state of vaginal flora indicate that mono infections are present most often in patients with normal flora 51 (42.1%), while coinfections are mostly present in BV patients 50 (55.6%). Conclusion. This study has confirmed the association of M. hominis and Ureaplasma spp with BV as well as an association of coinfections with this dysbiosis. Better understanding of the association between various STIs and the status of vaginal flora is necessary to enable better diagnosis, prevention of diseases and women?s health protection.

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Section: Discussionmentioning

confidence: 99%

Association of bacterial vaginosis with the most common sexually transmitted infections

et al. 2022

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“…The full agreement test set consisted of NILM and neoplastic LBC cases whose obtained diagnoses were fully agreed by two independent cytoscreeners in different institutes. The clinical balance test set consisted of 95% NILM and 5% neoplastic LBC cases based on a real clinical setting [ 48 , 49 ]. The equal balance test set consisted of 50% NILM and 50% neoplastic LBC cases.…”

Section: Methodsmentioning

confidence: 99%

A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images

Kanavati

Hirose

Ishii

et al. 2022

Cancers

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Liquid-based cytology (LBC) for cervical cancer screening is now more common than the conventional smears, which when digitised from glass slides into whole-slide images (WSIs), opens up the possibility of artificial intelligence (AI)-based automated image analysis. Since conventional screening processes by cytoscreeners and cytopathologists using microscopes is limited in terms of human resources, it is important to develop new computational techniques that can automatically and rapidly diagnose a large amount of specimens without delay, which would be of great benefit for clinical laboratories and hospitals. The goal of this study was to investigate the use of a deep learning model for the classification of WSIs of LBC specimens into neoplastic and non-neoplastic. To do so, we used a dataset of 1605 cervical WSIs. We evaluated the model on three test sets with a combined total of 1468 WSIs, achieving ROC AUCs for WSI diagnosis in the range of 0.89–0.96, demonstrating the promising potential use of such models for aiding screening processes.

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“…375 positive endocervical swabs samples were used for C.trachomatis genotyping to evaluate association with CINs. More detailed study methods and epidemiological information about the study are available in a previously published article ( 21 , 22 ).…”

Section: Methodsmentioning

confidence: 99%

“…In this study, cervical cytology was dichotomized into normal (NILM) and abnormal (≥ASC). More detailed information is available in our previous study ( 22 ).…”

Section: Methodsmentioning

confidence: 99%

“…The evaluation criteria of vaginal cleanliness was divided into 4 grades by the relative abundance of Lactobacillus spp., vaginal epithelial cells, pus cells and white blood cells per high power field ( 26 ). Grade I and grade II indicate normal vaginal cleanliness, whereas grade III and grade IV are abnormal, indicating the presence of inflammation or infection ( 22 ).…”

Section: Methodsmentioning

confidence: 99%

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Distribution of Chlamydia trachomatis ompA genotypes and its association with abnormal cervical cytology among women of reproductive age in Shenzhen, China

Liu

Sun²,

Zhang³

et al. 2022

Front. Public Health

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BackgroundMany studies have focused on the distribution and specific clinical symptoms caused by Chlamydia trachomatis. Still, relatively few studies have focused on the associations between Chlamydia trachomatis genotypes and cervical intraepithelial lesions.ObjectivesThis study was conducted to determine the distribution of Chlamydia trachomatis genotypes and its associations with cervical intraepithelial lesions among women of reproductive age. The presence of other STIs coinfection was also evaluated.Method375 Chlamydia trachomatis positive cervical swabs collected from women of reproductive age were analyzed though molecular assay. Multivariate logistic regression analyses (covariates include contraception, gravidity (≥1), abnormal vaginal discharge, adverse pregnancy outcomes, reproductive tract symptoms and abnormal cervical cytology) were performed to evaluate the associations between Chlamydia trachomatis genotypes and cervical intraepithelial lesions and genital clinical symptoms.ResultsAmong 375 Chlamydia trachomatis positive cervical swabs, the prevalence of coinfection with Neisseria gonorrhoeae, Candida albicans, Trichomonas vaginitis, Vulvovaginal candidiasis, and HPV were 0.8%, 2.7%, 2.4%, 10.1% and 15.5%, respectively. 306 were genotyped successfully, and nine genotypes were identified. The most common genovar was E (25.16%, 77/306), followed by J (22.55%, 69/306), F (17%, 52/306), D (14.4%, 44/306), K (7.2%, 22/306), G (6.9%, 21/306), H (5.2%, 16/306), B (1.0%, 3/306), Ia (0.7%, 2/306). Genotype H was associated with abnormal cervical cytology [p = 0.006, aOR = 8.16 (1.86–36.6)]. However, this study observed no association between Chlamydia trachomatis genotypes and any genital clinical symptoms.ConclusionsChlamydia trachomatis genotype H may be a high risk factor for cervical intraepithelial lesions, which is useful for treatment and management measures for patients with cervical intraepithelial lesions.

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Associations of sexually transmitted infections and bacterial vaginosis with abnormal cervical cytology: A cross-sectional survey with 9090 community women in China

Cited by 10 publications

References 40 publications

Association of bacterial vaginosis with the most common sexually transmitted infections

Association of bacterial vaginosis with the most common sexually transmitted infections

A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images

Distribution of Chlamydia trachomatis ompA genotypes and its association with abnormal cervical cytology among women of reproductive age in Shenzhen, China

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