宫颈高危HPV感染与阴道病原体感染的相关性分析OA

Objective To explore the correlation between high-risk human papilloma virus(HR-HPV)and vaginal pathogenic microorganisms(Gardnerella,Candida,Trichomonas),and to provide new ideas for the prevention and treatment of cervical cancer.Methods A retrospective analysis was conducted on the HPV typing test and vaginal pathogen test results of 6 393 women aged 25-65 years from Union Hospital,Tongji Medical College,Huazhong University of Science and Technology from January 2023 to March 2025.Chi-square test or Fisher's exact test was used for intergroup comparisons,and logistic regression analysis was performed to evaluate the association between vaginal pathogen infection and HR-HPV infection.Further,a longitudinal study design was used to assess the potential impact of vaginal pathogen outcome(persistent or clearance)on the outcome of HR-HPV infection.Results The positive rate of Gardnerella was higher in the HR-HPV positive group and the low-risk human papilloma virus(LR-HPV)positive group than in the HPV negative group(χ2=36.751,P<0.05),while there was no statistically significant difference in the positive rates of Candida and Trichomonas among the three groups(P>0.05);Univariate logistic regression analysis showed that positive detection of Gardnerella was a risk factor for HR-HPV infection(OR=1.416,95%CI:1.243-1.614,P<0.05),and there was no significant correlation between Trichomonas,Candida infection,and age factors and HR-HPV infection;Multivariate logistic regression analysis results showed that Gardnerella infection increased the risk of HR-HPV infection by 41.8%(OR=1.418,95%CI:1.243-1.616,P<0.05);A total of 339 women met the inclusion criteria for the longitudinal study,and the results showed that only in women aged 46-65,the negative rate of vaginal Gardnerella in the negative HR-HPV group was higher(PFisher=0.039).Conclusion Gardnerella may increase the risk of HR-HPV infection,and its negative conversion may promote the regression of HR-HPV.Vaginal pathogens and HR-HPV infection show a complex correlation,and large-sample multicenter studies are needed.