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  • Liao, Guangdong, et al. (author)
  • Multi-Infection Patterns and Co-infection Preference of 27 Human Papillomavirus Types Among 137,943 Gynecological Outpatients Across China
  • 2020
  • In: Frontiers in Oncology. - : Frontiers Media SA. - 2234-943X. ; 10
  • Journal article (peer-reviewed)abstract
    • Background: The epidemiological feature of human papillomavirus (HPV) infection is distinctive in China. We aimed to investigate the multi-infection patterns and co-infection preference of 27 HPV types among gynecological outpatients across China. Methods: Overall 137,943 gynecological outpatients were recruited from eight tertiary hospitals located in seven regions of China, between July 1st, 2014 and December 31st, 2016. The overall, region-specific, age-specific and type-specific prevalence of HPV infection were calculated, respectively. The pattern of HPV infection was also evaluated. Furthermore, rate ratio was calculated to evaluate the co-infection preference of any two HPV genotypes. Results: The overall prevalence of 27 HPVs' [17 high-risk (hr)/10 low-risk (lr)] infection was 23.5%. The age-specific HPV prevalence showed a "U-shaped" pattern. The most prevalent hrHPV genotypes were 16, 52, and 58. Multiple infections were detected in 25.8% of the HPV-positive women, in which dual infection was more prevalent. HPV 16/18 were likely to co-infected with HPV 31 but unlikely with HPV 52/58, i.e., the co-infection of HPV 16 with HPV 31 was high (3.5-fold), but low for HPV 58 (1.8-fold), and 52 (1.2-fold), while the co-infection of HPV 18 with HPV 31 was high (4.3-fold), but low for HPV 52 (1.9-fold), and 58 (1.7-fold). Conclusions: We found age-specific prevalence of HPV infection showed a "U-shaped" pattern for high and low risk HPV, suggesting the importance of screening among younger women and the necessary of detection among older women. We found a novel co-infection preference of HPV 16/18 with 31, 52, and 58, suggesting a need of developing and marketing prophylactic HPV vaccines that protect against more genotypes in China.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Ji, Jianguang (1)
Chen, Wen (1)
Xu, Hongxing (1)
Xu, Weidong (1)
Ma, Yan (1)
Chen, Tianhui (1)
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Liao, Guangdong (1)
Jiang, Xiyi (1)
She, Bin (1)
Tang, Huijuan (1)
Wang, Zhongyong (1)
Zhou, Hongrong (1)
Xi, Mingrong (1)
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University
Lund University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Medical and Health Sciences (1)
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