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Abstract：
Multiple infections are a key component of HPV pathogenesis and have a direct impact on how an infection turns out. It\'s crucial to look at the associations between HPV multiple infections and both age and HPV genotypes in the Chinese population, searching for the causative factors of multiple infections with a view to providing new ideas for the treatment and prevention of multiple infections. In this study, we retrospectively analyzed the data of HPV infections among outpatients from the 2019 year to the 2021 year of Shandong Maternal and Child Health Hospital. Analyzed the correlation between HPV multiple infections and age using logistic regression. Differences in the percentage of multiple infections between age groups were compared using the chi-square test. The chi-square test compared the differences in the distribution of 15 common HPV genotypes in mono- versus multiple infections. A two-dimensional matrix presented the frequency of HPV genotype combinations. Logistics regression analysis showed that age was significantly associated with the occurrence of multiple infections, with a dominance ratio OR 1.026 (95% CI 1.02-1.04). Interestingly, the proportion of HPV multiple infections among HPV-positive individuals increases with age in people older than 30 years of age. The chi-square test showed there was a difference in the distribution of HPV genotypes between multiple infections and mono- HPV infection (χ2 = 76.4; p = 0.000), a difference in the composition of HPV genotypes for dual versus single infections (χ2 = 90.6; p = 0.000) and a difference in HPV genotypes for triple versus single infections (χ2 = 56.7; p = 0.000). A 2 × 2 matrix showed that the combination of HPV52/HPV58 (30; 6.4%) was the combination of the highest frequency of infection for dual infections; The HPV52/HPV58 (21; 4.8%) combination was the highest frequency of HPV triple infection combination. HPV multiple infections were positively correlated with age; increasing age was positively correlated with the proportion of HPV multiple infections in the total infected population; the distribution of the 15 common genotypes of HPV differed between multiple infections and single infections; and HPV52:58 was a common type of infection combination in the Shandong population.
摘要：
多重感染是HPV发病机制的关键组成部分，对感染的结果有直接影响。在中国人群中，观察HPV多重感染与年龄和HPV基因型之间的关联至关重要。寻找多种感染的致病因素，以期为治疗和预防多种感染提供新思路。在这项研究中,回顾性分析山东省妇幼保健院2019年至2021年门诊患者HPV感染情况.采用logistic回归分析HPV多重感染与年龄的相关性。使用卡方检验比较了年龄组之间多重感染百分比的差异。卡方检验比较了15种常见HPV基因型在单一感染与多重感染中的分布差异。二维矩阵表示HPV基因型组合的频率。logistics回归分析显示年龄与多发感染的发生显著相关,优势比OR1.026（95%CI1.02-1.04）。有趣的是,在30岁以上人群中,HPV阳性个体中HPV多重感染的比例随着年龄的增加而增加.卡方检验显示，多重感染和单一HPV感染之间HPV基因型的分布存在差异（χ2=76.4；p=0.000）。双重感染与单一感染的HPV基因型组成差异（χ2=90.6;p=0.000），三重感染与单一感染的HPV基因型差异（χ2=56.7;p=0.000）。2×2矩阵显示，HPV52/HPV58（30；6.4％）的组合是双重感染的最高感染频率；HPV52/HPV58（21；4.8％）的组合是HPV三联感染的最高频率。HPV多重感染与年龄呈正相关；年龄的增加与HPV多重感染在总感染人群中的比例呈正相关；HPV15种常见基因型的分布在多重感染和单一感染之间存在差异；HPV52：58是山东人群中常见的感染组合类型。
