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ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2025

Dynamic characteristics of high-risk HPV infection in women with low-grade cervical intraepithelial neoplasia, based on a community longitudinal study.

Kailu Zhao, Huimin Li, Meng Cui, Li Song, Yuanjing Lyu, Ling Ding, Jintao Wang

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

7 authors.

Kailu ZhaoDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56, Xinjian Nan Road, Taiyuan, 030001, China.
Huimin LiDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56, Xinjian Nan Road, Taiyuan, 030001, China.
Meng CuiDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56, Xinjian Nan Road, Taiyuan, 030001, China.
Li SongDepartment of Epidemiology and Health Statistics, School of Public Health, Shaanxi University of Chinese Medicine, Xianyang, 712046, China.
Yuanjing LyuDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56, Xinjian Nan Road, Taiyuan, 030001, China.
Ling DingDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56, Xinjian Nan Road, Taiyuan, 030001, China.
Jintao WangDepartment of Epidemiology, School of Public Health, Shanxi Medical University, 56, Xinjian Nan Road, Taiyuan, 030001, China. wangjt59@163.com.ORCID http://orcid.org/0000-0001-5958-1194

Funding

National Natural Science Foundation of China No. 81872705, No. 81473060
6 · The paper itself

Abstract

backgroundHigh-risk human papillomavirus (HR-HPV) infection is the primary cause of cervical cancer and precancerous lesions. Approximately 35% of women with low-grade cervical intraepithelial neoplasia (CIN1) may experience persistence or progression to high-grade lesions. Yet, the dynamic characteristics of HR-HPV infection in women with CIN1 remain unclear.

methodsA total of 564 women diagnosed with CIN1, recruited from a community-based cohort, underwent a 24-month follow-up at 6th, 12th, and 24th month intervals. Hazard ratios (HRs) with 95% confidence interval (CI) were calculated to evaluate the risk of HR-HPV infection prognosis and their associated factors. Kaplan-Meier survival curves illustrated the dynamic changes of HR-HPV infection and association between HR-HPV infection prognosis and various influencing factors.

resultsHPV16 was the predominant carcinogenic genotype, followed by HPV58 and HPV52. Over the 24-month follow-up, persistent HPV16 infection occurred in 10.6% of women, with 14.4% converting from positive to negative and 4% developing HPV16 positivity from baseline HR-HPV negativity. Rates of persistent infection for HPV58, 52, 18, and 56 decreased over time, with HPV58, 52, and 31 infections more likely to turn HR-HPV negative. Additionally, rates of positive conversion from negative for HPV58, 56, 33, and 66 increased with extended follow-up time. Variables associated with dynamic characteristics of HR-HPV infection prognosis included personal hygiene, age of first menarche, age at first sexual intercourse, educational level, age, and menopausal status (all P < 0.05).

conclusionsThese findings contribute to understanding the dynamic characteristics of HR-HPV infection prognosis in women with CIN1 and its association with non-viral factors.

Indexed as

PapillomaviridaePapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultAgedFemaleGenotypeHumansLongitudinal StudiesMiddle AgedPrognosisRisk FactorsYoung AdultCommunity longitudinal studyDynamic characteristicsHR-HPV infectionLow-grade cervical intraepithelial neoplasia

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.