[A prediction study of the risk of new 9-valent vaccine type human papillomavirus infections in men who have sex with men].

J Y Bian, H Yang, Aslibek Shulipan, W H Yu, K Wang, G Z Zhang, J H Dai
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Abstract

Objective: To understand the factors influencing new infections of 9-valent vaccine-type human papillomavirus (9-valent type HPV) among men who have sex with men (MSM) in Urumqi City and to construct a prediction model of individual dynamics of new infections of 9-valent type HPV among MSM. Methods: In this study, a snowball method was adopted to recruit MSM in Urumqi City to establish a dynamic cohort, and participants were followed up every 6 months from 2016 to 2023, and perianal exfoliated cells were collected for HPV genotyping; joint models were established using the number of same-sex sexual partners in the last six months and the number of anal intercourse in the last one week as longitudinal variables, respectively, and joint models were utilized to analyze the influence factors of 9-valent HPV new infections in MSM individuals were analyzed by the joint model; the predictive efficacy of the model in the follow-up period was evaluated by using the time-dependent receiver operating characteristic area under the curve (AUC) values. Based on the prediction model, two study participants were randomly selected for individual dynamic prediction of new-onset HPV infections of 9-valent type types. Results: MSM with at least two follow-up visits 579 individuals were included in the analysis. The results of the two joint models showed that being divorced/widowed [hazard ratio (HR)=1.544, 95%CI: 1.033-2.233], having a sexual behavior style of being the inserted party (HR=1.366, 95%CI: 1.053-1.764), and having a history of STDs (HR=1.659, 95%CI: 1.057-2.558) increased the 9-valent types of new HPV infections risk. The results of the shared parameter of the joint model of the number of same-sex partners in the last six months showed that each 2.72 increase in the number of same-sex partners in the last six months was associated with a 28.2% increase in the risk of new 9-valent HPV infections in MSM individuals (HR=1.282, 95%CI: 1.065-1.540). The time-dependent AUC results showed that the joint model for the number of same-sex sexual partners in the last six months (0.808 0) predicted better performance than the joint model for the number of anal intercourse in the last one week (0.750 0). The joint model based on the number of same-sex sexual partners in the last six months for the prediction of MSM individual dynamics was consistent with the real situation. Conclusion: The joint model based on the number of same-sex sexual partners in the last six months, sexual behavior, history of STDs, and other risk factors has high accuracy in predicting the risk of new MSM 9-valent HPV infections in Urumqi City, which can provide a scientific basis for the prediction of individual dynamics of new MSM 9-valent HPV infections.

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[对男男性行为者感染新型9价疫苗型人乳头瘤病毒风险的预测研究]。
目的:了解乌鲁木齐市男男性行为者(MSM) 9价疫苗型人乳头瘤病毒(9价型HPV)新发感染的影响因素,建立MSM 9价型人乳头瘤病毒新发感染个体动态预测模型。方法:本研究采用滚雪球法招募乌鲁木齐市MSM人群建立动态队列,2016 - 2023年每6个月随访一次,收集肛周脱落细胞进行HPV基因分型;分别以最近6个月的同性性伴侣数量和最近1周的肛交次数为纵向变量建立联合模型,利用联合模型分析MSM个体9价HPV新发感染的影响因素;采用随时间变化的受试者工作特征曲线下面积(AUC)值评价模型在随访期间的预测效果。基于预测模型,随机选取2名研究对象进行9价型新发HPV感染个体动态预测。结果:随访两次以上的男男性行为者579人被纳入分析。两种联合模型结果显示,离婚/丧偶[危险比(HR)=1.544, 95%CI: 1.033 ~ 2.233]、插入性行为方式(HR=1.366, 95%CI: 1.053 ~ 1.764)、有性病史(HR=1.659, 95%CI: 1.057 ~ 2.558)增加了9价型新发HPV感染的风险。近6个月同性伴侣数量联合模型共享参数结果显示,近6个月同性伴侣数量每增加2.72,MSM个体新发9价HPV感染风险增加28.2% (HR=1.282, 95%CI: 1.065 ~ 1.540)。随时间变化的AUC结果表明,最近6个月同性性伴侣数量联合模型(0.808 0)对MSM个体动态的预测效果优于最近1周肛交次数联合模型(0.750 0),基于最近6个月同性性伴侣数量联合模型对MSM个体动态的预测符合实际情况。结论:基于近半年同性性伴侣数量、性行为、性传播疾病史等危险因素的联合模型预测乌鲁木齐市MSM新发9价HPV感染风险具有较高的准确性,可为预测MSM新发9价HPV感染个体动态提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
中华流行病学杂志
中华流行病学杂志 Medicine-Medicine (all)
CiteScore
5.60
自引率
0.00%
发文量
8981
期刊介绍: Chinese Journal of Epidemiology, established in 1981, is an advanced academic periodical in epidemiology and related disciplines in China, which, according to the principle of integrating theory with practice, mainly reports the major progress in epidemiological research. The columns of the journal include commentary, expert forum, original article, field investigation, disease surveillance, laboratory research, clinical epidemiology, basic theory or method and review, etc.  The journal is included by more than ten major biomedical databases and index systems worldwide, such as been indexed in Scopus, PubMed/MEDLINE, PubMed Central (PMC), Europe PubMed Central, Embase, Chemical Abstract, Chinese Science and Technology Paper and Citation Database (CSTPCD), Chinese core journal essentials overview, Chinese Science Citation Database (CSCD) core database, Chinese Biological Medical Disc (CBMdisc), and Chinese Medical Citation Index (CMCI), etc. It is one of the core academic journals and carefully selected core journals in preventive and basic medicine in China.
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