文章摘要
曹文杰,姚永明,韦薇,林锋,鲁俊端,袁智.贵州省1995-2018年HIV/AIDS生存时间及其影响因素分析[J].中华流行病学杂志,2020,41(4):557-561
贵州省1995-2018年HIV/AIDS生存时间及其影响因素分析
Survival time and related factors on HIV/AIDS patients in Guizhou province from 1995 to 2018
收稿日期:2019-06-04  出版日期:2020-04-24
DOI:10.3760/cma.j.cn112338-20190604-00395
中文关键词: 艾滋病病毒/艾滋病  生存时间  死亡率  影响因素
英文关键词: HIV/AIDS  Survival time  Mortality  Related factors
基金项目:贵州省卫生和计划生育委员会科学技术基金(gzwjkj2017-1-087)
作者单位E-mail
曹文杰 贵州省疾病预防控制中心 艾滋病性病皮肤病防治研究所, 贵阳 550004  
姚永明 贵州省疾病预防控制中心 艾滋病性病皮肤病防治研究所, 贵阳 550004  
韦薇 贵州省疾病预防控制中心 艾滋病性病皮肤病防治研究所, 贵阳 550004  
林锋 贵州省疾病预防控制中心 艾滋病性病皮肤病防治研究所, 贵阳 550004  
鲁俊端 贵州省疾病预防控制中心 艾滋病性病皮肤病防治研究所, 贵阳 550004  
袁智 贵州省疾病预防控制中心 艾滋病性病皮肤病防治研究所, 贵阳 550004 12210169@qq.com 
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中文摘要:
      目的 了解1995-2018年贵州省HIV/AIDS生存时间及影响因素。方法 采用回顾性队列研究的方法,从"艾滋病防治基本信息系统"中下载1995-2018年贵州省报告的所有现住址为贵州省的HIV/AIDS报告卡。进行统计分析,运用寿命表法计算生存率、Kaplan-Meier法计算生存时间、Cox比例风险模型分析HIV/AIDS生存时间的影响因素。结果 纳入研究对象HIV/AIDS 53 232例,死亡率为8.53/100人年(14 210/166 679.18);生存时间中位数为10.20(95%CI:9.91~10.48)年,第1、5、10、20年的累积生存概率分别为0.85、0.68、0.51、0.36、0.19;多因素Cox比例风险模型分析结果显示,男性(与女性相比,aHR=0.757,95%CI:0.727~0.788)、未接受过抗病毒治疗(与接受过抗病毒治疗相比,aHR=0.173,95%CI:0.165~0.181)、首次CD4+T淋巴细胞(CD4)<200个/μl(与首次CD4 ≥ 200个/μl者相比,aHR=0.410,95%CI:0.387~0.435)、≥ 45岁 (与<45岁者相比,aHR=1.506,95%CI:1.193~1.901)、文盲(与高中及以上学历者相比,aHR=0.904,95%CI:0.832~0.982)、未婚(与离异或丧偶者相比, aHR=0.896,95%CI:0.848~0.946)、异性性传播(与同性性传播者相比,aHR=0.555,95%CI:0.487~0.632)、苗族等少数民族(与汉族相比,aHR=1.185,95%CI:1.114~1.262)、农民/民工(与家政/待业者相比, aHR=0.874,95%CI:0.834~0.916)均是影响病例生存时间的因素。结论 贵州省HIV/AIDS死亡率较高,近年来并未出现明显的下降趋势,男性、≥ 45岁、文化程度较低、少数民族、首次CD4检测<200个/μl等是影响HIV/AIDS生存时间的因素。应该针对具有这些特征的病例加强治疗和随访管理,以提高其生存质量。
英文摘要:
      Objective To examine the survival time and related factors on HIV/AIDS patients in Guizhou province from 1995 to 2018. Methods A retrospective cohort study was conducted to analyze the HIV/AIDS case from 1995 to 2018 in Guizhou province with data gathered from the "Chinese National Comprehensive HIV/AIDS Prevention and care Information system". Survival rate was calculated by life table and survival time was estimated by Kaplan-Meier. Related factors on survival time were analyzed by Cox regression model. Results A total of 53 232 HIV/AIDS cases were included in the study, with the mortality rate as 8.53/100 person-years (14 210/166 679.18), median survival time as 10.20 (95%CI:9.91-10.48) years, and survival rates of 1, 5, 10 and 20 years as 0.85, 0.68, 0.51, 0.36, 0.19 respectively. Results from the multivariate Cox regression analysis showed that factors as:being male (compared with females, aHR=0.757, 95%CI:0.727-0.788), with antiviral treatment (ART) (compared with those without ART, aHR=0.173, 95%CI:0.165-0.181), CD4<200 cells/μl[compared with CD4+ T cells (CD4) ≥ 200 cells/μl, aHR=0.410, 95%CI:0.387-0.435], age ≥ 45 (compared with age<45, aHR=1.506, 95%CI:1.193-1.901), illiterate (compared with having high school education or above, aHR=0.904, 95%CI:0.832-0.982), unmarried (compared with divorced or widowed, aHR=0.896, 95%CI:0.848 -0.946), through heterosexual transmission (compared with homosexual transmission, aHR=0.555, 95%CI:0.487-0.632), ethnic minorities (compared with Hans, aHR=1.185, 95%CI:1.114-1.262), and farmers/migrant workers (compared with domestic/unemployed, aHR=0.874, 95%CI:0.834-0.916,) etc., were related to the survival time of HIV/AIDS, in Guizhou province. Conclusions The mortality rate of HIV/AIDS in Guizhou province appeared relatively high, but with no obvious downward trend seen in the last years. Factors as being male, age ≥ 45, low education level, ethnic minorities, CD4<200 cells/μl were identified as related to the HIV/AIDS survival time. We would suggest that treatment and follow-up management programs should be strengthened to improve the quality of life among these patients.
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