Characteristics of high-risk human papillomavirus infection in women with abnormal cervical cytology: a population-based study in Shanxi Province, China [post]

2019 unpublished
High-risk human papillomavirus (HR-HPV) infection is widely known as the major cause of cervical intraepithelial neoplasia (CIN) and cervical cancer and it's characteristics vary greatly in different population. Women with abnormal cervical cytology could increase the risk of cervical cancer, however, HR-HPV infection characteristics in women with abnormal cervical cytology remains unclear. Methods: This study was based on baseline survey of the CIN Cohort established in Shanxi Province, China.
more » ... xi Province, China. A total number of 2300 women with cervical abnormalities were enrolled in this study. All participants gave informed consent and agreed to HPV and thinprepcytologic test (TCT). Each individual completed a questionnaire about characteristics related to HPV infection. Results: The overall prevalence of HR-HPV in 2300 women was 32.0%, and the proportion of single and multiple HR-HPV infections were 70.2% and 29.8% in HR-HPV infection women, respectively. The top five HR-HPV genotypes were ranked as HPV16, HPV58, HPV52, HPV53 and HPV51. The prevalence of HR-HPV in atypical squamous cells of undetermined significance (ASC-US), low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion and above(HSIL+) were 30.8%, 36.5% and 54.9%, respectively, showing an increasing trend with the severity of cervical cytology ( χ 2 trend =13.952; p <0.001). The women aged 35~45 years, with lower education level, less frequency of bathing, multiple gravidity, multiple parity, history of gynecological diseases and premenopausal women were prone to HR-HPV infection. Conclusions: We defined the characteristics related to HR-HPV infection in abnormal cervical cytology women, and provided an insight for the development and deeply research of HPV vaccine.
doi:10.21203/rs.2.15784/v1 fatcat:owf6oucevbftvp5a7pyescnl4m