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中国防痨杂志 ›› 2020, Vol. 42 ›› Issue (4): 360-365.doi: 10.3969/j.issn.1000-6621.2020.04.011

• 论著 • 上一篇    下一篇

HIV感染/AIDS者结核感染的影响因素分析

张兴,王凤鸣,吕旭峰,华天齐,张学军,蒋靖怡,丁陈丽,朱伟,夏国栋,吉俊敏(),赵飞()   

  1. 213000 江苏省常州市疾病预防控制中心(张兴、王凤鸣、吕旭峰、华天齐、蒋靖怡、吉俊敏);江苏省常州市新北区疾病预防控制中心(张学军);江苏省常州市常武太湖医院(丁陈丽);溧阳市疾病预防控制中心(朱伟);江苏省常州市金坛区疾病预防控制中心(夏国栋);北京医院 国家老年医学中心 临床试验研究中心(赵飞)
  • 收稿日期:2019-10-25 出版日期:2020-04-10 发布日期:2020-04-07
  • 通信作者: 吉俊敏,赵飞 E-mail:jijunmin3313@163.com;zhaofei4814@bjhmoh.cn
  • 基金资助:
    江苏省自然科学基金(BK20151176);江苏省青年医学人才计划(QNRC2016309);江苏省预防医学科研项目(Y2013016);常州市科技计划项目(CJ20140042);常州市科技计划项目(CJ20160037)

Analysis of influencing factors of Mycobacterium tuberculosis infection in HIV/AIDS patients

ZHANG Xing,WANG Feng-ming,LYU Xu-feng,HUA Tian-qi,ZHANG Xue-jun,JIANG Jing-yi,DING Chen-li,ZHU Wei,XIA Guo-dong,JI Jun-min(),ZHAO Fei()   

  1. Changzhou Center for Disease Control and Prevention, Jiangsu Province, Changzhou 213000, China
  • Received:2019-10-25 Online:2020-04-10 Published:2020-04-07
  • Contact: Jun-min JI,Fei ZHAO E-mail:jijunmin3313@163.com;zhaofei4814@bjhmoh.cn

摘要:

目的 分析HIV感染/AIDS者结核感染情况及其影响因素。方法 于2017年1—7月采用随机整群抽样的方法,抽取江苏省常州地区3家社区医院,以其10年累计登记的HIV感染/AIDS者作为研究对象,最终纳入475例,平均年龄(44.44±13.85)岁,其中,男378例(79.58%),女97例(20.42%);HIV感染者273例(57.47%),AIDS患者202例(42.53%)。收集研究对象的社会人口学信息及临床相关信息;采集研究对象外周静脉血,检测HIV病毒载量,并选取CD4 +T细胞计数>200个/μl者采用QuantiFERON ®-TB Gold (QFT)检测结核感染情况;分析研究对象结核感染情况,并采用多因素非条件logistic回归分析结核感染的影响因素。结果 研究对象中CD4 +T细胞计数>200个/μl者有429例,结核感染率为10.02%(43/429)。单因素分析显示,CD4 +T细胞计数>200个/μl者中有结核病接触史者结核感染率(30.30%,10/33)高于无接触史者(8.33%,33/396);CD4 +T细胞计数>500个/μl者结核感染率(13.15%,33/251)高于CD4 +T细胞计数为200~500个/μl者(5.62%,10/178),差异均有统计学意义(χ 2分别为16.30、6.55,P值均<0.05)。进一步的非条件logistic回归分析显示,CD4 +T细胞计数>200个/μl的HIV感染/AIDS者中,有结核病患者接触史者结核感染风险是无接触史者的4.61倍[调整OR值(95%CI值)为4.61(2.00~10.63)];CD4 +T细胞计数>500个/μl的HIV感染/AIDS者结核感染风险是CD4 +T细胞计数200~500个/μl者的2.47倍[调整OR值(95%CI值)为2.47(1.17~5.21)]。结论 免疫水平低下的HIV感染/AIDS者结核感染检出率低;结核病患者接触史、免疫水平是HIV感染/AIDS者结核感染的重要影响因素。

关键词: 分枝杆菌,结核, 感染, HIV感染, 获得性免疫缺陷综合征, 共病现象, 因素分析,统计学

Abstract:

Objective To analyze the MTB infection and its influencing factors in HIV/AIDS patients. Methods From January to July 2017, 3 community hospitals were selected by a random cluster sampling method in Changzhou, in which HIV/AIDS patients by the 10-year cumulative registration were used as the research subjects. As a result, a total of 475 subjects were included, with an average age (44.44±13.85) years, including 378 males (79.58%) and 97 females (20.42%); 273 HIV-infected patients (57.47%) and 202 AIDS patients (42.53%). The sociodemographic information and clinically relevant information of the subjects were collected. Peripheral venous blood from subjects was tested for HIV viral load, then the subjects with CD4 + T cell counts>200 cells/μl were selected for MTB infection detection using QuantiFERON ®-TB Gold (QFT). The MTB infection status of the subjects was analyzed and influencing factors of MTB infection were analyzed by multivariate non-conditional logistic regression. Results There were 429 subjects with CD4 + T cell counts>200 cells/μl, and the MTB infection rate was 10.02% (43/429). Univariate analysis showed that the MTB infection rate of subjects with CD4 + T cell counts>200 cells/μl who had a history of tuberculosis exposure was higher than that of subjects without history of tuberculosis exposure (30.30%(10/33) vs. 8.33% (33/396); χ 2=16.30, P<0.05); and the MTB infection rate of subjects with CD4 + T cell counts >500 cells/μl was higher than that of subjects with CD4 + T cell counts from 200 to 500 cells/μl (13.15% (33/251) vs. 5.62% (10/178); χ 2=6.55, P<0.05). Further unconditional logistic regression analysis showed that among HIV/AIDS patients with CD4 + T cell counts>200 cells/μl, the risk of MTB infection in the subjects with history of tuberculosis exposure was 4.61 times of subjects without history of tuberculosis exposure (adjusted OR=4.61, 95%CI=2.00-10.63); and the MTB infection risk of HIV/AIDS patients with CD4 + T cell counts>500 cells/μl was 2.47 times of the HIV/AIDS patients with CD4 + T cell counts from 200 to 500 cells/μl (adjusted OR=2.47, 95%CI=1.17-5.21). Conclusion The detection rate of MTB infection is low in HIV/AIDS patients with low immune level. The history of tuberculosis exposure and immune level are important influencing factors of MTB infection in HIV/AIDS patients.

Key words: Mycobacterium tuberculosis, Infection, HIV infections, Acquired immunodeficiency syndrome, Comorbidity, Factor analysis,statistical