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成都市2010—2019年新报告HIV/AIDS病例晚发现的影响因素及晚发现病例的生存情况分析
引用本文:施雅莹1,余继熙2,刘芳1,何勤英1,吴学庆1,朱彦锋2. 成都市2010—2019年新报告HIV/AIDS病例晚发现的影响因素及晚发现病例的生存情况分析[J]. 现代预防医学, 2022, 0(12): 2143-2148
作者姓名:施雅莹1  余继熙2  刘芳1  何勤英1  吴学庆1  朱彦锋2
作者单位:1.成都市疾病预防控制中心性病艾滋病防制科,四川 成都 610041;2.成都医学院公共卫生学院,四川 成都 610500
摘    要:
目的 了解成都市艾滋病病毒感染者和艾滋病病人(简称HIV/AIDS)的晚发现情况及主要影响因素,为当地艾滋病防控工作提供建议。方法 收集成都市2010—2019年10年间新报告的HIV/AIDS的数据,采用χ2检验和多因素logistic回归分析,计算比值比,95%可信区间值。分析不同病例生存情况并绘制生存曲线。结果 共纳入39 230例研究对象,总晚发现率为34.4%,多因素logistic回归分析显示,女性出现晚发现的可能性更低(OR = 0.77,95%CI:0.73~0.82),随年龄增加出现晚发现的可能性逐渐增高,家务、家政及待业较农民更易出现晚发现(OR = 1.12,95%CI:1.05~1.19),外地户籍较本地户籍出现晚发现可能性更低(OR = 0.83,95%CI:0.79~0.88),以医院就诊人群为参考,样本来源为重点人群(OR = 0.65,95%CI:0.61~0.68)、羁押人群(OR = 0.25,95%CI:0.20~0.31)、献血人群(OR = 0.31,95%CI:0.25~0.39)和其他(OR = 0.50,95%CI:0.42~0.59)出现晚发现的可能性更低。晚发现病例生存时间为(32.3±30.8)月,非晚发现病例为(42.1±31.6)月。结论 成都市近几年发现的HIV/AIDS晚发率呈下降趋势。性别、年龄、样本来源是晚发现的影响因素,非晚发现病例的平均生存时间远高于晚发现病例的平均生存时间。

关 键 词:HIV/AIDS  晚发现  影响因素  生存时间

Analysis of factors influencing late detection of newly reported HIV/AIDS cases and survival of late detected cases in Chengdu from 2010 to 2019
SHI Ya-ying,YU Ji-xi,LIU Fang,HE Qin-ying,WU Xue-qing,ZHU Yan-feng. Analysis of factors influencing late detection of newly reported HIV/AIDS cases and survival of late detected cases in Chengdu from 2010 to 2019[J]. Modern Preventive Medicine, 2022, 0(12): 2143-2148
Authors:SHI Ya-ying  YU Ji-xi  LIU Fang  HE Qin-ying  WU Xue-qing  ZHU Yan-feng
Affiliation:*Department of STD/AIDS Prevention and Control, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
Abstract:
Objective To understand the late detection of HIV-infected and AIDS patients (referred to as HIV/AIDS) in Chengdu and the main influencing factors, and to provide suggestions for local AIDS prevention and control. Methods Data on newly reported HIV/AIDS in Chengdu city during the 10-year period from 2010 to 2019 were collected, and the odds ratio (OR), 95% confidence interval (CI) values were calculated using Chi-square test and multi-factor logistic regression analysis. Survival of different cases was analyzed and survival curves were plotted. Results A total of 39 230 study subjects were included, with an overall late detection rate of 34.4%. Multifactorial logistic regression analysis showed that women were less likely to have late detection (OR=0.77, 95%CI: 0.73-0.82), with a progressively higher likelihood of late detection with increasing age, people doing housework, domestic work, and waiting for work opportunity were more likely to have late detection than farmers (OR=1.12 , 95%CI: 1.05-1.19), and migrant people from other provinces were less likely to have late detection than locally registered residents (OR=0.83, 95%CI: 0.79-0.88). Using the hospital visit population as a reference, and the sample source of key population (OR=0.65, 95%CI: 0.61-0.68), custodial population (OR=0.25, 95%CI: 0.20-0.31), blood donor population (OR=0.31, 95%CI: 0.25-0.39) and others (OR=0.50, 95%CI: 0.42-0.59) were less likely to have late detection. The survival time was (32.3±30.8) months for late detection cases and (42.1±31.6) months for non-late detection cases. Conclusion The late detection rate of HIV/AIDS in Chengdu has shown a decreasing trend in recent years. Gender, age, and sample source are influencing factors of late detection, and the mean survival time of non-late-detected cases is much higher than the mean survival time of late-detected cases.
Keywords:HIV/AIDS  Late detection  Influencing factors  Survival time
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