抗病毒治疗及中止治疗患者HIV耐药性研究
本文选题:HIV + ART ; 参考:《中国疾病预防控制中心》2017年硕士论文
【摘要】:目的:本研究通过开展两个横断面调查,分别观察:1、部分地区接受艾滋病抗病毒治疗12个月左右患者的HIV (Human Immunodeficiency Virus)耐药情况及其影响因素;2、部分地区中止抗病毒治疗患者HIV耐药情况及其影响因素。方法:1、本研究的调查方案按照全国艾滋病病毒耐药性监测指南(2012版)中获得性HIV耐药横断面研究方案进行。在北京、吉林、湖南、广西、四川、贵州、新疆和云南8个监测地区开展相关调查。本研究的目标人群纳入标准为:(1)HIV阳性患者;(2)年龄≥18岁;(3)接受免费艾滋病抗病毒治疗(Antiretroviral Therapy, ART) 9-18个月;(4)自愿参加调查并愿意提供知情同意书。2、在四川、重庆、云南、广西、河南和湖南6个地区,对上述省中止抗病毒治疗的部分患者展开相关调查。本研究的目标人群纳入标准为:(1) HIV阳性患者;(2)年龄≥18岁;(3)中止治疗1个月及以上;(4)自愿参加调查并愿意提供知情同意书。结果:1、2014年在8个地区共调查了 765名接受9-18个月抗病毒治疗的成人,平均年龄是44.7岁。男性546 (71.4%)人,女性219 (28.6%)人;汉族607 (79.3%)人,少数民族158 (20.7%)人;已婚325 (42.5%)人,未婚440 (57.5%)人;67.6%的患者通过异性途径感染艾滋病病毒。多数病人(56.0%)初始治疗方案使用的是AZT/3TC/EFV或NVP,其次就是TDF/3TC/EFV或NVP (29.9%),二线方案使用者有50 (6.5%)人。经过13.9个月的中位治疗时间后,CD4细胞计数≥350组的患者比例从抗病毒治疗前的17.2%提高到调查时的37.4%,同时CD4细胞计数中位数从抗病毒治疗开始前的222cells/ul升高到调查时的303cells/ul。765位接受调查的患者中,65 (8.5%)位患者在调查时病毒载量抑制失败(病毒载量≥1000 copies/ml)。对这65位病毒抑制失败患者进行扩增,64位患者成功得到合格的pol基因序列,有33位患者出现耐药突变位点,耐药率为4.3%。33位耐药患者中,所有人都出现了对 NNRTIs (non-nucleoside reverse transcriptase inhibitors)药物的耐药,81.8%的患者对 NRTIs (nucleoside reverse transcriptase inhibitors)药物耐药,而 3%的患者出现了对 PIs(protease inhibitors)药物的耐药。NNRTIs最常出现的耐药突变位点是K103N(54.5%,18/33),G190A/S/R/(27.3%,9/33),和 Y181C (24.2%,8/33); NRTIs 最常出现的是位于 RT 区的M184I/V (66.7%,22/33)和 K65R (39.4%,13/33),而 Pis 突变位点仅在 M46L 这个位点出现。多因素统计中发现两个变量与耐药发生有关:过去一个月服药比例在90%以下的患者发生耐药的风险是服药比例在90%以上的患者的6倍(95%CI:1.7-20.7;P=0.005);四川和贵州的患者发生耐药的风险是其他省份的7.3倍(95%CI:3.6-15.2;P0.0001)。2、本次共调查了 481位中止抗病毒治疗患者,所有的患者均采集全血样本并进行实验室检测,其中365人接受问卷调查。对接受问卷调查的365人分析显示,男性258 (70.7%)人,女性107 (29.3%)人;汉族222 (60.8%)人,其他民族143 (39.2%)人;农村户口291 (79.7%)人,城镇户口 74(20.3%)人;221 (60.5%)人感染途径为异性传播,17(4.7%)人为同性传播,100 (27.4%)人通过吸毒传播,27 (7.4%)人通过其他途径传播。中止治疗 1-6 个月患者有 86 (23.6%)人,6-12 个月 75 (20.6%)人,12-24 个月 85 (23.3%)人,24-36个月36 (9.7%)人,≥36个月42 (11.5%)人。在所调查对象中,52人(10.8%)因治疗失败中止治疗,124人(25.8%)因副反应中止治疗,177人(36.8%)因依从性问题中止治疗。481位采集到样本的中止治疗患者中,337 (70.1%)位患者在调查时病毒载量≥1000 copies/ml。对这337位患者进行基因扩增,336 (99.7%,336/337)位患者成功得到序列,其中有65位患者至少携带一个耐药突变,耐药率为13.5%。65位耐药患者中,57 (87.7%,57/65)例患者出现了对NNRTIs药物的耐药,4.6% (3,3/65)的患者对NRTIs药物耐药,而10.8% (7,7/65)的患者出现了对Pis药物的耐药。NNRTIs最常出现的耐药突变位点是K103N(56.9%,37/65); NRTIs 最常出现的是位于 RT 区的 M184I/V (3.1%, 2/65),而 Pis 突变位点仅在I54V这个位点出现。多因素统计中发现两个变量与耐药发生有关:没有医疗保险的中止治疗患者发生耐药的风险是有医疗保险患者的2.8倍(95%CI:1.2-6.6;P=0.02);调查时CD4细胞计数0-199 copies/ml的中止治疗患者发生耐药的风险是CD4细胞计数≥350 copies/ml的患者的3.6倍(95%CI:1.4-8.9;P=0.006),调查时CD4细胞计数200-350 copies/ml的患者发生耐药的风险是CD4细胞计数≥350 copies/ml的患者的3.5倍(95%CI:1.4-8.4;P=0.006)。多因素统计中发现两个变量与病毒未抑制有关:病人在抗病毒治疗时从县或市医院领取药物发生病毒未抑制(病毒载量≥1000 copies/ml)的风险是患者从村、镇卫生院领药的2.9倍(95%CI:1.6-5.3;P=0.0003);调查时CD4细胞计数0-199 copies/ml的患者发生病毒载量未抑制的风险是 CD4 细胞计数≥350 copies/ml 的患者的 10.3 倍(95%CI:4.9-21.7;P0.0001),调查时CD4细胞计数200-350 copies/ml的中止治疗患者发生病毒载量未抑制的风险是CD4细胞计数≥350 copies/ml的患者的 4.6 倍(95%CI:2.6-8.3;P0.0001)。结论:综上所述,本研究表明现阶段一直持续服用免费抗病毒治疗药物9-18个月患者病毒抑制率已达到WHO提出的90%的病毒抑制标准,治疗后患者的CD4细胞计数值明显升高,耐药发生率为4.3%,但是四川和贵州耐药发生较高。在中止抗病毒治疗患者中病毒未抑制率和耐药比例均较高,其中耐药率达到13.5%,调查时CD4细胞计数低的患者发生耐药和病毒未抑制的风险大,患者中止抗病毒治疗原因主要是药物副反应和依从性不好,应针对患者退出的原因,制定相应措施降低退出的比例,同时需进一步加强中止治疗人群的耐药监测。虽然坚持服药患者的耐药流行较低,但本研究中发现仍有一定比例中止抗病毒治疗的患者中并有较高的耐药发生,如不尽早采取措施,这将成为保持我国长期抗病毒治疗效果的一个重要的制约因素。
[Abstract]:Objective: in this study, two cross-sectional investigations were carried out to observe: 1, in some areas, the drug resistance of HIV (Human Immunodeficiency Virus) and its influencing factors for patients with AIDS antiviral therapy for about 12 months and so on; 2, HIV resistance of patients with antiviral treatment in some areas and its influencing factors. Methods: 1. The scheme was conducted in 8 monitoring areas in Beijing, Jilin, Hunan, Guangxi, Sichuan, Guizhou, Xinjiang and Yunnan in Beijing, Jilin, Hunan, Guangxi, Guizhou, Xinjiang and Yunnan, in accordance with the National AIDS drug resistance monitoring Guide (2012 Edition). The target population of this study was included (1) HIV positive patients; (2) age more than 18 years; (3) accepted free of charge AIDS antiviral treatment (Antiretroviral Therapy, ART) 9-18 months; (4) voluntary participation in the survey and willing to provide the informed consent.2, in Sichuan, Chongqing, Yunnan, Guangxi, Henan and Hunan, 6 areas of the above-mentioned provinces to suspend antiviral treatment are investigated. The target population of this study is: (1) HIV positive patients (2) age more than 18 years old; (3) suspension of treatment for 1 months and more; (4) voluntary participation in the investigation and willing to provide informed consent. Results: 765 adults with 9-18 months of antiviral treatment were investigated in 8 regions for 12014 years, the average age was 44.7 years, 546 (71.4%) men, female 219 (28.6%) people, Han people, minority nationalities. 0.7%) people; married 325 (42.5%), unmarried 440 (57.5%); 67.6% of the patients infected with HIV through heterosexual pathways. Most patients (56%) were treated with AZT/3TC/EFV or NVP, followed by TDF/3TC/EFV or NVP (29.9%), and the second line scheme made the use of 50 (6.5%) people. After a median of 13.9 months of treatment, CD4 cells The proportion of patients who counted more than 350 groups increased from 17.2% before antiviral therapy to 37.4% in the survey, while the median of CD4 cell counts increased from 222cells/ul before the beginning of antiviral therapy to the 303cells/ul.765 position in the survey, and 65 (8.5%) patients failed to suppress viral load (viral load > 1000 COP) during the investigation. Ies/ml). To amplify the 65 patients with the failure of the virus, 64 patients successfully got a qualified pol gene sequence, 33 patients had resistance mutation sites, the drug resistance rate was 4.3%.33 resistant, all of them were resistant to NNRTIs (non-nucleoside reverse transcriptase inhibitors), and 81.8% of the patients were to NRT. Is (nucleoside reverse transcriptase inhibitors) drug resistance, and 3% of patients with PIs (protease inhibitors) drug resistant.NNRTIs most often appear the most common resistance mutation loci are K103N (54.5%, 18/33), G190A/S/R/ (24.2%, 66.7%). And K65R (39.4%, 13/33), and Pis mutation site only at the M46L site. Multifactor statistics found that two variables were associated with drug resistance: the risk of drug resistance in patients with less than 90% over the past month was 6 times as much as 90% of patients (95% CI:1.7-20.7; P=0.005); patients in Sichuan and Guizhou occurred. The risk of resistance was 7.3 times (95%CI:3.6-15.2; P0.0001).2 in other provinces. The total of 481 cases of antiviral treatment were investigated. All the patients collected whole blood samples and carried out laboratory tests. 365 of them were investigated by questionnaire. 258 (70.7%) men, 107 (29.3%) women, and 107 (29.3%) men were analyzed. 222 (60.8%) people and 143 (39.2%) people of other nationalities; 291 (79.7%) in rural areas and 74 (20.3%) in urban areas; 221 (60.5%) is transmitted by the opposite sex, 17 (4.7%) is transmitted by the same sex, 100 (27.4%) people spread through drug use, and people are transmitted through other ways. (20.6%) people, 12-24 months 85 (23.3%), 24-36 months 36 (9.7%), and 36 months 42 (11.5%). Among the subjects, 52 (10.8%) were discontinued for treatment failure, 124 (25.8%) was discontinued for side effects, and the patient was discontinued for the discontinuation treatment of the.481 position. In the survey, the 337 patients were amplified by viral load more than 1000 copies/ml., and 336 (99.7%, 336/337) patients succeeded in getting the sequence, of which 65 patients carried at least one drug resistance mutation, and the resistance rate was 13.5%.65 resistant, 57 (87.7%, 57/65) patients were resistant to NNRTIs drugs and 4.6% (3,3/65) patients. Drug resistance to NRTIs, and 10.8% (7,7/65) patients appeared the most frequently occurring resistance mutation loci of drug resistant.NNRTIs to Pis drugs (56.9%, 37/65); NRTIs most frequently appeared in M184I/V (3.1%, 2/65) located in RT region, while Pis mutation site appeared only at the I54V this site. Two variables were found in multifactor statistics and drug-resistant hair. Life - related: the risk of drug resistance in patients without medical insurance is 2.8 times as high as those with medical insurance (95%CI:1.2-6.6; P=0.02); the risk of drug resistance in patients with CD4 cell counts of 0-199 copies/ml at the time of investigation is 3.6 times (95%CI:1.4-8.9; P=0.006) in patients with CD4 cell counts more than 350 copies/ml. The risk of drug resistance in a cell count of 200-350 copies/ml was 3.5 times (95%CI:1.4-8.4; P=0.006) of the CD4 cell count of more than 350 copies/ml. The multifactor statistics found that two variables were not associated with the virus inhibition: the patients received drugs from the county or the city hospital during antiviral treatment (viral load > 1000 copies/). The risk of ML) was 2.9 times (95%CI:1.6-5.3; P=0.0003) from the village and the Town Health Hospital; the risk of uninhibited viral load in the CD4 cell count of 0-199 copies/ml was 10.3 times (95%CI:4.9-21.7; P0.0001) of the patients with CD4 cell counts more than 350 copies/ml, and the suspension of the CD4 cell count 200-350 copies/ml in the investigation. The risk of uninhibited viral load in the treatment patients was 4.6 times (95%CI:2.6-8.3; P0.0001) in patients with CD4 cell counts more than 350 copies/ml. Conclusion: To sum up, this study showed that the rate of virus inhibition in patients who had been taking free antiviral therapy at the present stage for 9-18 months had reached 90% of the virus inhibition standard proposed by WHO. The CD4 cell count of the patients was significantly higher, the incidence of drug resistance was 4.3%, but the drug resistance in Sichuan and Guizhou was higher. The rate of uninhibited virus and the drug resistance were higher in the patients who stopped the antiviral treatment, and the drug resistance rate reached 13.5%. The risk of drug resistance and the uninhibited virus was high in the patients with low CD4 cell count. The main reason for antiviral treatment is the adverse drug reaction and poor compliance. We should formulate corresponding measures to reduce the proportion of withdrawal, and further strengthen the drug resistance monitoring of the discontinued people. Although the prevalence of drug resistance in patients taking medicine is low, it is found that there is still a certain proportion of the discontinuation of antiviral treatment in this study. There is a high level of resistance in patients who are treated. If not taken early, it will become an important constraint to maintain the long-term efficacy of antiviral therapy in China.
【学位授予单位】:中国疾病预防控制中心
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:R512.91
【相似文献】
相关期刊论文 前10条
1 任广毅,杨维林,韩瑞章;非抗病毒药在抗病毒治疗中的应用[J];现代中西医结合杂志;2000年12期
2 杨攀易;;抗病毒药物对于儿童的使用[J];基础医学与临床;2009年11期
3 庄梅珠;夏品苍;吴守丽;谢美榕;郑健;颜苹苹;;福建省2005—2009年艾滋病抗病毒治疗情况分析[J];海峡预防医学杂志;2011年02期
4 马国政,,丛培振;抗病毒Ⅰ号中药配合西药治疗单疱病毒性角膜炎[J];中西医结合眼科杂志;1994年03期
5 ;抗病毒药物[J];国外科技资料目录.医药卫生;1998年11期
6 丁媛媛;;多糖与抗病毒作用[J];国外医学(微生物学分册);2001年01期
7 董志辰,王顺霞;抗病毒药物的研究思路[J];现代中西医结合杂志;2001年17期
8 丁宛琼;抗病毒化学药物的研究进展[J];职业卫生与病伤;2002年01期
9 孙洪清,徐为民;艾滋病抗病毒治疗进展[J];临床内科杂志;2003年08期
10 胡国平;抗病毒新药阿地福韦[J];华西医学;2003年03期
相关会议论文 前10条
1 王融冰;孙凤霞;江宇泳;周桂琴;王晓静;司马奋强;;慢性乙型重型肝炎的抗病毒治疗[A];全国第3届中西医结合传染病学术会议暨中国中西医结合学会传染病专业委员会第2届委员会议论文汇编[C];2010年
2 刘涛;张春梅;辛艳春;;慢性乙型病毒性肝炎治疗的再思考:抑制、清除或耐受?[A];中华医学会第十六次全国病毒性肝炎及肝病学术会议论文汇编[C];2013年
3 陈本川;;抗病毒药物研究进展[A];现代科技与湖北新型工业化——第二届湖北科技论坛优秀论文集[C];2003年
4 周黎明;;抗病毒药物研究进展[A];中国药理学会化疗药理专业委员会第九届学术研讨会论文摘要集[C];2008年
5 岑山;;新型抗病毒药物的研究策略[A];第二届全国微生物资源学术暨国家微生物资源平台运行服务研讨会论文摘要集[C];2010年
6 李惠聪;;乙肝患者抗病毒治疗中的需求及护理[A];2007年“中国护理事业发展”论坛论文汇编[C];2007年
7 杨炯;;浅析乙肝免疫辩证抗病毒“三结合”治疗方案[A];中华中医药学会第十二届内科肝胆病学术会议暨第四次国家中医肝病重点专科协作组学术会议论文汇编[C];2006年
8 曹彬;;流感抗病毒治疗与病毒耐药[A];第二届全国药物性损害与安全用药学术会议——抗感染药物不良反应与临床安全应用专题研讨会论文汇编[C];2010年
9 陈本川;;抗病毒药物的现状及研究进展[A];二○○三年全国医药工业技术工作年会专题报告汇编[C];2003年
10 蔡步林;李卓荣;;抗病毒药物的研究开发策略[A];2006年全国生化与生物技术药物学术年会论文集[C];2006年
相关重要报纸文章 前10条
1 本报记者 葛密艳 刘永斌;抗病毒兽药被禁之后[N];河北科技报;2006年
2 王立峰;抗病毒药物市场概况(二)[N];中国高新技术产业导报;2002年
3 记者 孙梦;重点人群应48小时内使用抗病毒药物[N];健康报;2013年
4 记者 伍江 特约通讯员 陈玉川;我市未现抢购抗病毒药物风潮[N];湛江日报;2013年
5 白爱芹 王宗芹;抗病毒药物的研究[N];中国医药报;2003年
6 金山;抗病毒类药市场解密[N];医药经济报;2004年
7 本报记者 钟可芬;终端抗病毒药物做足功课[N];医药经济报;2009年
8 记者 李颖;抗击慢乙须重视抗病毒[N];科技日报;2012年
9 本报记者 陈国东;抗病毒药物生产提前备战[N];医药经济报;2009年
10 刘士敬;乙肝抗病毒治疗为何难以实施?[N];大众卫生报;2005年
相关博士学位论文 前10条
1 高帅;用于指导慢性乙型肝炎患者抗病毒治疗的无创性模型研究[D];山东大学;2015年
2 朱伟伟;模式识别受体介导的小鼠睾丸和附睾的天然抗病毒反应[D];北京协和医学院;2015年
3 张渝婧;柳州市HIV单阳家庭流行病学特征及基于抗病毒治疗的预防性服药意愿研究[D];安徽医科大学;2015年
4 孔令娜;慢性乙型肝炎抗病毒治疗患者自我管理量表的编制及初步应用研究[D];重庆医科大学;2015年
5 洪伟;抗HCV多肽的筛选、设计与作用机制研究[D];武汉大学;2014年
6 包木胜;新型CpG ODN大规模筛选及其抗病毒作用的研究[D];吉林大学;2005年
7 臧春鹏;抗病毒治疗对艾滋病传播流行的影响[D];中国疾病预防控制中心;2011年
8 邱倩;北京市新医疗保险政策实施后慢性乙型肝炎病人不同抗病毒治疗方案比较效果研究及卫生经济学评价[D];北京协和医学院;2015年
9 刘慧鑫;高效抗逆转录病毒治疗对单阳家庭配偶间HIV性传播预防作用研究[D];中国疾病预防控制中心;2015年
10 马烨;我国8省成人艾滋病人长期一线抗病毒治疗效果及影响因素研究[D];中国疾病预防控制中心;2012年
相关硕士学位论文 前10条
1 左中宝;抗病毒治疗及中止治疗患者HIV耐药性研究[D];中国疾病预防控制中心;2017年
2 杨文杰;2005~2014年河南省艾滋病患者抗病毒治疗后生存及影响因素分析[D];郑州大学;2015年
3 钱钰;慢性HBV感染患者肾小球滤过率估计值(eGFR)测定及其与抗病毒治疗药物的关系[D];山东大学;2015年
4 黄琴;上海市艾滋病患者抗病毒治疗疗效研究[D];复旦大学;2014年
5 张双;中国云南省艾滋病患者二线抗病毒治疗临床转归的研究[D];昆明医科大学;2015年
6 杨旭;鸡肉中多残留检测方法的研究以及金刚烷胺、利巴韦林标准物质的研制[D];福建农林大学;2016年
7 万羽;基于复杂网络的抗病毒治疗的流感传播模型[D];南京理工大学;2016年
8 李翠玉;抗菌/抗病毒环糊精包合物的制备及其在纸页中的应用[D];华南理工大学;2016年
9 张峰硕;概率统计方法对流行病学中的一些问题的研究[D];电子科技大学;2016年
10 胡冉;中国成人HIV感染者不同CD4水平抗病毒治疗效果分析[D];中国疾病预防控制中心;2016年
本文编号:1984905
本文链接:https://www.wllwen.com/yixuelunwen/chuanranbingxuelunwen/1984905.html