舟山市2005-2016年HIV/AIDS的晚发现情况及其影响因素

Late diagnosis of HIV/AIDS and its influential factors in Zhoushan of Zhejiang from 2005 to 2016

目的 了解浙江省舟山市2005-2016年报告的HIV/AIDS患者晚发现比例及影响因素,为制定防控策略提供依据.方法 统计全国艾滋病防治信息系统中2005年1月至2016年12月舟山市报告的HIV/AIDS患者晚发现比例,运用单因素分析和多因素Logistic回归分析晚发现的影响因素.结果 舟山市2005-2016年新报告的509例HIV/AIDS患者中,晚发现病例208例,晚发现率为40.86％.单因素分析筛选出年龄、婚姻状况、户籍地、职业、报告年份、感染途径、样本来源是晚发现的影响因素,纳入多因素Logistic回归分析后显示,户籍地为定海区（OR =2.65,95％CI：1.28～5.51）、渔民职业（OR=2.48,95％CI：1.01～6.12）、2005-2010年报告（OR=7.43,95％CI：3.88～14.22）、其他就诊者体检（OR=11.32,95％CI：3.13～40.89）是艾滋病患者晚发现的危险因素.结论 舟山市HIV/AIDS患者中晚发现比例较高,应加强对定海户籍、渔民的艾滋病知识宣传和检测,提高主动检测意识,优化医疗机构HIV检测策略.

Objective To explore the late diagnosis of HIV/AIDS and its influenctial factors in Zhoushan from 2005 to 2016,so as to provide evidence for targeted prevention and control.Methods Data of HIV/AIDS cases reported in Zhoushan from January 2005 to December 2016 in AIDS Prevention and Control Information System were retrieved,and the proportion of late diagnosis was calculated.One-variant logistic regression and multi-variant logistic regression were used to analyze the influential factors of late diagnosis of HIV/AIDS.Results A total of 509 HIV/AIDS cases were reported in Zhoushan from 2005 to 2016,208 cases （40.86％） of whom were late diagnosed.Age,marital status,household registration,occupation,reporting year,pathway of infection and sample source were influential factors of late diagnosis by single factor analysis.Multi-variant logistic regression showed that the risk factors for late diagnosis of HIV/AIDS were household registration of Dinghai （OR =2.65,95％CI：1.28-5.51）;fisherman （OR=2.48,95％CI：1.01-6.12）;cases reported in 2005-2010 （OR=7.43,95％CI：3.88-14.22）;and patients who had medical examination for other diseases （OR =11.32,95％ CI：3.13-40.89）.Conclusions The proportion of late diagnosis of HIV/AIDS is high in Zhoushan.We should strengthen AIDS knowledge publicity and testing for the Dinghai census register and fishermen to improve the awareness of voluntary test,and optimize the HIV testing strategies for medical institutions.