...
首页> 外文期刊>JAIDS: Journal of acquired immune deficiency syndromes >Prevalence of transmitted HIV-1 drug resistance and the role of resistance algorithms: data from seroconverters in the CASCADE collaboration from 1987 to 2003.
【24h】

Prevalence of transmitted HIV-1 drug resistance and the role of resistance algorithms: data from seroconverters in the CASCADE collaboration from 1987 to 2003.

机译:传播的HIV-1耐药性的流行和耐药算法的作用:1987年至2003年CASCADE合作中血清转化者的数据。

获取原文
获取原文并翻译 | 示例
           

摘要

OBJECTIVES: To examine factors influencing the rate of transmitted drug resistance (TDR) among seroconverters, with particular emphasis on 3 widely used genotypic drug resistance algorithms. METHODS: The study used data from CASCADE (Concerted Action on Seroconversion to AIDS and Death in Europe), a collaboration of seroconverter cohorts in Europe and Canada. Genotypic resistance data were derived within 18 months of the last seronegative test or date of laboratory evidence of acute infection and before the initiation of antiretroviral therapy. The Stanford algorithm was used to analyze each individual's nucleotide sequence. A multivariate logistic model was used to assess independent relationships between the presence of TDR and exposure category, sex, age at seroconversion, and year of seroconversion. The paper also describes 3 alternative definitions of resistance: the Stanford algorithm, the key resistance mutations defined by the International AIDS Society, and the Agence Nationale de Recherches sur le Sida (ANRS) algorithm. RESULTS: Forty-five of 438 patients (10.3%) seroconverting between 1987 and 2003 were infected with a drug-resistant HIV-1 variant. Forty patients (9.1%) showed resistance mutations to only 1 class of antiretroviral drugs, 2 (0.5%) to 2 classes, and 3 (0.7%) to 3 classes of antiretroviral therapy. It was suggested that individuals seroconverting later in calendar time were more likely to have TDR (relative risk 3.89 and 95% CI: 0.84 to 18.02, and relative risk 4.69 and 95% CI: 1.03 to 21.31, for 1996-1999 and 2000-2003, respectively, compared with pre-1996; P trend = 0.08). This trend was apparent regardless of the definition of TDR used. The total estimated proportion of individuals with TDR varied between 10.3% and 15.5% according to which definition was used. CONCLUSIONS: Evidence was found for the rise of TDR over time. A specific definition of what constitutes TDR rather than a simple list of mutations is needed.
机译:目的:研究影响血清转化者之间耐药性(TDR)发生率的因素,特别着重于3种广泛使用的基因型耐药性算法。方法:该研究使用了来自欧洲和加拿大的血清转化者队列合作的CASCADE(欧洲关于将血清转化为AIDS和死亡的可靠行动)的数据。基因型耐药性数据是在上次血清阴性试验或急性感染的实验室证据出现之日起18个月内以及开始抗逆转录病毒治疗之前得出的。斯坦福算法用于分析每个人的核苷酸序列。多元逻辑模型用于评估TDR的存在与暴露类别,性别,血清转化年龄和血清转化年份之间的独立关系。本文还描述了3种抗性的替代定义:Stanford算法,国际艾滋病协会定义的关键抗性突变以及Sida National Redeches Sur le Sida(ANRS)算法。结果:1987年至2003年之间有438例血清转换患者中有45例感染了抗药性HIV-1变异株。四十名患者(9.1%)仅对一类抗逆转录病毒药物,两类(0.5%)至二类和三类(0.7%)至三类抗逆转录病毒药物显示出耐药性突变。建议在日历时间后期进行血清转换的个体更可能患有TDR(1996-1999年和2000-2003年相对风险3.89和95%CI:0.84至18.02,相对风险4.69和95%CI:1.03至21.31与1996年前相比; P趋势= 0.08)。无论使用何种TDR定义,这种趋势都是显而易见的。根据使用的定义,TDR患者的总估计比例在10.3%和15.5%之间。结论:发现TDR随时间升高的证据。需要对构成TDR的具体定义,而不是简单的突变列表。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号