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接受抗病毒治疗的 HIV 患者中病毒载量回升的临床解读:我们是否已经准备好推断其服药依从性差?

The clinical interpretation of viral blips in HIV patients receiving antiviral treatment: are we ready to infer poor adherence?

机构信息

Department of Infectious Diseases Epidemiology, Imperial College London, London, UK.

出版信息

J Acquir Immune Defic Syndr. 2012 May 1;60(1):5-11. doi: 10.1097/QAI.0b013e3182487a20.

Abstract

OBJECTIVES

Viral blips may be an indication of poor adherence to antiretroviral treatment. This article studies how the variations of the definitions of viral blips and that of the choice of sampling frame in studies investigating viral blips may contribute to the uncertainty of the associations between viral blips and possible causes.

DESIGN

Mathematical modeling study allows us to study the impact of different sampling frames and different definitions of blips upon study results that are usually not feasible in clinical settings.

METHODS

Using a previously published mathematical model, scenarios of different drug adherence levels and viral blips, with different sampling frames, were modeled.

RESULTS

In the case of viral blips as a result of nonadherence to combinational antiretroviral therapy, rather than calculating the incidence of blips directly from the number of blips observed in a given period of time, it is better to report the proportion of observations in a given period of time that are ≥50 copies per milliliter. Therefore, as the denominator, the number of observations in a given period of time is important. However, the proportion of blips is not very informative on the drug adherence level.

CONCLUSIONS

We should standardize definitions of viral blips and the choice of sampling frame and to report the proportion of observations of a given sampling frame in a given period of time that are ≥50 copies per milliliter, so that comparable data can be generated across different populations.

摘要

目的

病毒学突破可能表明抗逆转录病毒治疗的依从性较差。本文研究了研究病毒学突破时,病毒学突破定义的变化和采样框架选择的变化如何导致病毒学突破与可能原因之间的关联的不确定性。

设计

数学模型研究使我们能够研究不同采样框架和不同突破定义对通常在临床环境中不可行的研究结果的影响。

方法

使用先前发表的数学模型,对不同药物依从水平和不同采样框架下的病毒突破情况进行了建模。

结果

在由于不遵守联合抗逆转录病毒治疗而导致病毒突破的情况下,与其直接从给定时间段内观察到的突破数量计算突破的发生率,不如报告给定时间段内≥50 拷贝/毫升的观察结果的比例。因此,作为分母,给定时间段内的观察数量很重要。然而,突破比例对药物依从水平的信息含量不高。

结论

我们应该标准化病毒突破的定义和采样框架的选择,并报告给定采样框架在给定时间段内≥50 拷贝/毫升的观察结果的比例,以便在不同人群中生成可比数据。

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