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8744例安徽地区女性人乳头瘤病毒亚型感染状况分析
引用本文:叶红,常中宝,童琳,余娟平,张爽,王倩倩,李晓华,徐庆华.8744例安徽地区女性人乳头瘤病毒亚型感染状况分析[J].中华疾病控制杂志,2019,23(10):1273-1278.
作者姓名:叶红  常中宝  童琳  余娟平  张爽  王倩倩  李晓华  徐庆华
作者单位:230061 合肥,安徽省医学科学研究院;230088 合肥,合肥金域检验实验室有限公司
基金项目:国家自然科学基金31372417安徽省卫生健康委员会委级课题2018YK003安徽省“十三五”重点培育专科Anhui Sci Edu. No. 30(2017)
摘    要:  目的  探讨安徽地区女性人乳头瘤病毒(Human Papillomavirus,HPV)分子流行病学现况,为HPV疫苗的推广使用提供参考依据。  方法  采用流式荧光杂交法检测安徽地区8 744例送检女性标本HPV亚型感染情况。  结果  高危型别和低危型别的感染率分别为16.10%和6.38%;HPV单一和多重感染率分别为13.85%和5.58%;HPV16型感染率最高,其次为52型和58型;皖南、皖中、皖北HPV感染率差异有统计学意义(χ2=13.790,P=0.008),皖北高危51型和56型感染率高于其他两个地区,差异有统计学意义(χ2=17.323,P < 0.001;χ2=9.643,P=0.008);10~岁年龄组感染率最高(37.50%),其次是20~岁年龄组(23.19%)和≥ 60岁年龄组(22.16%),各年龄组感染率差异有统计学意义(χ2=61.855,P < 0.001);不同年份HPV亚型感染率差异有统计学意义(χ2=59.479,P < 0.001),2015年份感染率最高。  结论  安徽地区HPV感染主要以高危单一型别感染为主,感染率前3的亚型依次是16型、52型和58型;不同地区HPV感染差异均有统计学意义(均有P < 0.05),个别型别有较高的感染率;HPV感染年龄分布总体呈两头高、中间低的分布趋势;不同年份HPV感染率呈逐年下降趋势。

关 键 词:安徽省  HPV亚型  感染率  分布
收稿时间:2019-05-10

The analysis of Human Papillomavirus infection and subtype distribution in 8 744 females in Anhui Province
Institution:1.Anhui Academy of Medical Sciences, Hefei 230061, China2.Hefei Kingmed for Clinical Laboratory Co. Ltd, Hefei 230088, China
Abstract:  Objective  To investigate the genotypes of Human Papillomavirus (HPV) infection and distribution characteristics of women in Anhui, and to provide reference for HPV molecular epidemiology research and promotion of vaccine in Anhui.  Methods  The flowcytometry fluorescence hybridization method were used to eaxm 8 744 samples of women HPV Subtype.  Results  The high-risk and low-risk infection rate of HPV were 16.10% and 6.38% respectively. The rate of single and multiple subtype were 13.85% and 5.58% respectively. HPV positive detectable rates were higher in HPV16, HPV52 and HPV58, HPV16 was the highest. The defection rate was significantly different among southern, central and northern in Anhui (χ2=13.790, P=0.008). The infection rates of high risk subtype 51 and 56 in northern were higher than those in the other two regions, and the difference was statistically significant (χ2=17.323, P < 0.001; χ2=9.643, P=0.008). Age distribution results showed that the age group with high infection rate was 10-age group (37.50%), 20-age group (23.19%) and ≥ 60 age group (22.16%), and the difference was statistically significant (χ2=61.855, P < 0.001). The infection rates of HPV subtypes in different years were significantly different (χ2=59.479, P < 0.001). The infection rate was the highest in 2015.  Conclusions  The high risk and single genotypes of infection were dominant in Anhui. HPV positive detectable rates were higher in HPV16, HPV52 and HPV58. There was significant difference in different regions (all P < 0.05) and there were some subtypes with higher infection rates. The age distribution of HPV infection showed a trend of high in youngest and oldest group and low in the middle. The infection rate in different years showed a downward trend year by year.
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