重庆市接受抗病毒治疗的HIV感染者和AIDS患者免疫重建及其影响因素分析

袁新皓; 周超; 何海; 吴国辉; 栾荣生

doi:10.16462/j.cnki.zhjbkz.2016.12.002

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名

邮箱

手机号码

标题

留言内容

验证码

重庆市接受抗病毒治疗的HIV感染者和AIDS患者免疫重建及其影响因素分析

doi: 10.16462/j.cnki.zhjbkz.2016.12.002

1. 四川大学华西公共卫生学院流行病与卫生统计学系, 四川成都 610041;
2. 重庆市疾病预防控制中心性病艾滋病防治所, 重庆 400042

基金项目:

中国-默沙东艾滋病合作项目Ⅱ期（A42001）

详细信息

作者简介:
袁新皓(1990-),男,重庆人,在读硕士研究生。主要研究方向:行为流行病学。

中图分类号: R512.91;R181.1
计量
- 文章访问数: 258
- HTML全文浏览量: 45
- PDF下载量: 3
- 被引次数: 0
出版历程
- 收稿日期: 2016-07-03
- 修回日期: 2016-10-07

Analysis on effectiveness of immune reconstitution and its influencing factors among HIV/AIDS patients after highly active antiretroviral therapy in Chongqing

1. Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University, Chengdu 610041, China;
2. Department for STD and AIDS Prevention and Control, Chongqing Provincial Center for Disease Control and Prevention, Chongqing 400042, China

摘要

摘要: 目的了解2004-2013年重庆市人类免疫缺陷病毒（human immunodeficiency virus，HIV）感染者和获得性免疫缺陷综合征（acquired immunodeficiency syndrome，AIDS）患者接受高效抗逆转录病毒治疗后免疫重建情况，并分析其影响因素。方法利用国家艾滋病综合防治信息系统下载的重庆市接受抗病毒治疗患者的基本信息和随访数据，建立重复测量资料的两水平生长模型，拟合CD4⁺T细胞计数随治疗时间变化情况并分析其影响因素。结果共纳入8 991例研究对象。基线、治疗6个月和18个月后T细胞计数均值分别为（194.23±123.72）个/mm³、（303.87±159.08）个/mm³和（355.52±174.78）个/mm³。两水平模型拟合结果显示，治疗时间、性别、入组年龄、基线T细胞计数、感染途径、婚姻状况、世界卫生组织临床分期、是否有艾滋病相关症状或体征等方面均有统计学意义（均有P<0.05）。结论重庆市抗病毒治疗免疫重建效果明显，及早发现HIV感染者并及时纳入治疗能有效提高免疫重建的治疗成效。
- HIV /
- 抗逆转录病毒治疗,高效 /
- T淋巴细胞
Abstract: Objective To understand the effect of immune reconstitution and its influencing factors among HIV/AIDS patients after highly active antiretroviral therapy during 2004 to 2013 in Chongqing City. Methods Data of general information and follow-up of highly active antiretroviral therapy (HAART) among HIV/AIDS patients in Chongqing City were collected from National HAART reporting system, 2-level growth model was used to analyze the long term T-cell counts and its influencing factors. Results 8 991 HIV/AIDS patients were enrolled in HAART in Chongqing, the T-Cell counts at baseline, 6 months and 18 months after HAART were (194.23±123.72), (303.87±159.08), (355.52±174.78) cell/mm³ respectively. The 2-level growth model analysis indicated that T-Cell counts were significantly associated with treatment time, gender, initial treatment age, T-cell counts at baseline, transmission route, marriage, World Health Organization clinical stage, and AIDS-related diseases (all P<0.05). Conclusions The effectiveness of HAART among HIV/AIDS patients in Chongqing is satisfactory. Various factors affect T-Cell counts after HAART, patients should be detected and enrolled earlier.
- HIV /
- Antiretroviral therapy, highly active /
- T-Lymphocytes