The prevalence of HR-HPV infection based on self-sampling among women in China exhibited some unique epidemiologic features

Autor: Jerome L. Belinson, Xinfeng Qu, Ruifang Wu, Hongxue Luo, Hui Du, Chun Wang
Rok vydání: 2021
Předmět:
Zdroj: Journal of Clinical Epidemiology. 139:319-329
ISSN: 0895-4356
DOI: 10.1016/j.jclinepi.2021.06.009
Popis: Objective To investigate the epidemiological characteristics of high-risk human papillomavirus(HR-HPV) infection based on vaginal self-collected samples. Study Design and Setting The pooled data of 3045 self-collected samples used for the analysis derived from four previous studies on cervical cancer screening(The Chinese Multi-Center Screening Trial, CHIMUST; The Shenzhen Cervical Cancer Screening Trial-2, SHENCCAST-2; The Chinese Cervical Cancer Prevention Study, CHIPCAPS; Pingshan trial, PINGSHAN)conducted across China by our team since 2011. These cases were evaluated for HR-HPV type prevalence relative to lesion grade and age. The occurrence of cervical intraepithelial neoplasia(CIN) with specific HPV types and the influence of co-infection is explored. Results The top three most common genotypes among the HR-HPV positives were HPV-52(23.4%), HPV-16(18.0%), and HPV-58(15.50%). For women with CIN2+, the most frequent genotypes were HPV-16, 58, 52, and 18 in sequence. HPV-16 accounted for the majority of CIN2/CIN3/Ca with attribution rate of 23.86%, 44.78% and 50.00% respectively. HPV-58 accounted for 19.48%, 16.79% and 13.46% respectively. CIN2+ was found in the following types most frequently: HPV-16(31.23%), HPV-33(24.03%), HPV-58(18.41%), HPV-31(11.76%), HPV-18(7.75%), and HPV-52(7.30%). HPV-16 showed preference for co-infection with HPV-52 and HPV-58. Conclusion The prevalence of HR-HPV infection based on self-sampling among women in China exhibited some unique epidemiologic features.
Databáze: OpenAIRE