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作 者:邹潇白[1,2] 贺健梅[2] 张国强[2] 李向忠[2] 陈曦[2]
机构地区:[1]中南大学公共卫生学院,湖南长沙410078 [2]湖南省疾病预防控制中心,湖南长沙410005
出 处:《中国病毒病杂志》2011年第5期363-366,共4页Chinese Journal of Viral Diseases
基 金:国家"十一五"艾滋病和病毒性肝炎等重大传染病防治科技重大专项(2008ZX10001-004)
摘 要:目的评估和预测湖南省艾滋病抗病毒治疗状况和治疗效果。方法 2010年6月对衡阳市接受艾滋病抗病毒治疗的病人进行调查,除去因各种原因无法做调查者外,共调查到223人,均为抗病毒治疗12个月以上且仍在治疗的病人。对其进行病毒载量检测和CD4+T淋巴细胞计数,并对结果进行分析。结果按患者开始治疗的年份将患者分为6组(2004-2009年治疗组),比较各组在不同CD4+T淋巴细胞水平(〈200个/μl、200~350个/μl、〉350个/μl)及病毒载量水平(〈103拷贝/μl、103~104拷贝/μl、〉104拷贝/μl)时的患者比例。结果显示:2004-2009年各组患者CD4+T淋巴细胞水平〈200个/μl的人数比例分别为0、5.9%、10.0%、15.0%、29.9%和28.6%,治疗时间越长,CD4+T淋巴细胞水平〈200个/μl的患者人数比例越低;但2004-2009年各治疗组患者在不同病毒滴度时人数比例的差异无统计学意义。病毒载量较低(〈103拷贝/μl)的感染者中,CD4+T淋巴细胞〉350个/μl人数比例较高(104,52.0%),而随着病毒载量水平的上升,CD4+T淋巴细胞〈200个/μl的患者比例增加,其病毒载量水平与CD4+T淋巴细胞计数呈负相关(P〈0.05)。结论对接受抗病毒治疗的患者定期进行CD4+T淋巴细胞和病毒载量检测,以观察患者治疗效果,提前预警耐药毒株的发生具有重大意义。Objective To evaluate the efficacy of highly active antiretroviral therapy(HAART) among HIV infected patients in Hengyang,Hunan province.Methods We recruited all 223 available HIV infected individuals who had taken HAART more than 6 months in the city.Subjects were divided into 6 groups according to the starting year of HAART treatment(2004-2009).The blood samples of patients were collected and detected for HIV viral load and CD4+ T cell counts.CD4+ T lymphocytes were categorized into 3 levels(200/μl,200-350/μl and 350 μl,respectively).Results The proportions of patients with CD4+ T cell counts less than 200/μl were 0(0/2),5.9%(1/17),10.0%(3/30),15.0%(9/60),29.9%(32/107) and 28.6%(2/8) respectively for patients who began the HAART in the year of 2004 to 2009.The lower proportion of HIV infected patients had CD4+ T lymphocytes less than 200/μl with the increasing length of HAART treatment(P0.005).Viral load was significantly decreased with the increasing length of HAART treatment(P0.05).The levels of viral load were negatively correlated with CD4+ cell counts(P0.05).Conclusions HAART treatment is effective in Hunan province.Regular CD4+ cells examination and viral load testing are important for drug resistance monitoring.
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