2007-2011年湘西州艾滋病确证实验室HIV阳性检测结果分析

目的分析湘西土家族苗族自治州2007-2011年艾滋病病毒（HIV）筛查及确证试验的检测数据,以了解该州艾滋病的流行特点和HIV感染的人群特征,以及不同人群的感染率,为制订防控策略提供科学依据。方法依照《全国艾滋病检测技术规范》（2004年版、2009年版）对送检样品进行检验,对实验室确证数据进行统计分析。结果 2007-2011年全州HIV初筛标本305 255份,初筛阳性748份,经确证实验室确诊为阳性的442份,阴性279份,不确定27份;监测人群HIV平均阳性率为0.14%,以2008年的阳性率最高,为0.18%（95/54 113）,各年度筛查确证阳性率差异有统计学意义。442份HIV阳性标本中,男性289例（65.38%）,女性153例（34.62%）,男女性别比例为1.89∶1。年龄主要集中在31～55岁（占44.1%,195/442）和55岁以上（占37.8%,167/442）。结论湘西州HIV感染者男性多于女性,主要以大年龄组居多。自愿咨询检测是发现HIV感染的最重要方式。

Analysis to the results of laboratory confirmed HIV positives among the populations under surveillance in Xiangxi Pre-fecture in 2007--2011

Objective To analyze the human immunodeficiency virus （HIV） infection screening and confirmatory test data in Xiangxi Autonomous Prefecture from 2007- 2011, in order to understand acquired immunodeficiency syndrome （AIDS） epidemic characteristics and infection rates in different populations, so that to provide a scientific evidence for formulating prevention and control strategies. Methods The samples sending by screening laboratories were tested and the laboratory confirmed data were statistically analyzed according to the National AIDS Testing Technical Specifications （2004 and 2009 versions）. Results Totally there were 305 255 HIV screening specimens from 2007--2011 in Xiangxi Prefecture, 748 were screening positive, of that 442 were confirmed positive, 279 were negatives, 27 were HIV uncertain. The average HIV positive rate among the monitored population was 0.14%, while the highest positive rate appeared in 2008, was 0.180% （95/54 113）. The differences among the annual screen- ing confirmatory positive had significance. Of the positive confirmed samples, 289 were males （65.38%） and 153 （34.62%） were females, the ratio of gender were 1.89 ： 1. Age of 31--55 （44. 1%,195/442） and the age older than 55 （37.8% ,167/442） were the main parts. Conclusion Males are more than females among HIV infections in Xiangxi Prefecture. The infection concentrates on older groups. Voluntary counseling and testing is still the most important method to find HIV infection.