The prevalence and genotype distribution of human papillomavirus among women in Guangxi, southern China

Abstract

Abstract Background Human papillomavirus is a primary cause of cervical cancer and genital warts. HPV vaccine can prevent high-grade cervical lesions as well as cervical cancer. The aim of this study was to analyze the prevalence and genotype distribution of human papillomavirus among women in Guangxi before and after the HPV vaccine was approved for use in China. Methods From January 2016 to May 2021, 41,140 women were tested for HPV infection. HPV genotyping included 15 high-risk HPV (HR-HPV) and 6 low-risk HPV (LR-HPV) genotypes. Total prevalence, annual trend, and specific age group prevalence and genotype distribution were analyzed. Results The overall HPV infection rate was 18.10% among Guangxi women self-referred to clinic for gynecologic problems in southern China. During 2016–2018, the prevalence of HPV infection showed an upward trend, from 18.21% in 2016 to 21.99% in 2018, and later it showed a downward trend, from 18.35% in 2019 to 12.26% in May 2021. Pure HR-HPV genotypes (14.36%) were found in more infections than pure LR-HPV genotypes (2.77%) and mixed genotypes (0.97%). Two peaks of HPV infection were found in the ≤ 25 years (22.94%) and 56–65 years (21.25%) groups. The six most prevalent HR-HPV genotypes were HPV 52 (4.06%), 16 (2.70%), 58 (2.24%), 51 (1.87%), 39 (1.52%), and 53 (1.52%). The three most prevalent LR-HPV genotypes were HPV 6 (1.31%), CP8304 (1.01%), and 11 (0.82%). Infection with a single HR-HPV genotype was the most common type of infection, with an overall infection rate of 12.30%. Infection with two HPV genotypes was the most common multiple HR-HPV infection type, with an infection rate of 2.35%. Conclusions The cervical HPV infection rate of women in Guangxi is very high, and there is significant age specificity. There is a need to increase HPV vaccination of young people and the screening of middle-aged and elderly people.

Keywords

• Human papillomavirus
• Infection rate
• Genotype distribution
• Guangxi