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病毒血症的累积暴露:在纵向HIV研究中实施标准化变量的方法。

Cumulative exposure to viremia: Methods for the implementation of standardized variables in longitudinal HIV studies.

作者信息

Barrett Benjamin W, McGowan Katherine, Landon Christian, Zhang Jinbing, Haberlen Sabina, Abraham Alison G

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe Street, Baltimore, MD 21205, United States.

Department of Epidemiology, Colorado School of Public Health, 13001 East 17th Place, 3rd Floor Mail Stop B119, Aurora, CO 80045, United States.

出版信息

MethodsX. 2023 Mar 22;10:102146. doi: 10.1016/j.mex.2023.102146. eCollection 2023.

Abstract

Measures of viremic exposure over time, including HIV viral copy-years or durable viremic suppression, may be more relevant measures of viral load exposure for comorbid outcomes and mortality than single time point viral load measures. However, there are many subjective decisions that go into creating a cumulative variable such as HIV viral copy-years, including the appropriate anchoring point to begin accumulating exposure, the handling of viral load levels below an assay's lower limit of detection (LLD), the handling of gaps in the viral load trajectory, and when to apply the log transformation (before or after the accumulation calculation). Different decisions produce different values for HIV viral copy-years, and such differences could impact inferences in subsequent analyses of relationships with outcomes. In this paper, we develop several HIV viral copy-years variables that are standardized across:•Anchoring point•Handling of viral loads measured below the LLD and missing viral load measures•Application of the log transformation. These standardized variables may be consistently used in analyses of longitudinal cohort data. We also define a supplementary dichotomous HIV viral load exposure variable that may be used in tandem, or alternatively to, the HIV viral copy-years variables.

摘要

随着时间推移的病毒血症暴露量度,包括HIV病毒拷贝年数或持续性病毒血症抑制,对于合并症结局和死亡率而言,可能比单次时间点病毒载量量度更能体现病毒载量暴露情况。然而,在创建诸如HIV病毒拷贝年数这样的累积变量时,存在许多主观决策,包括开始累积暴露的合适锚定时间点、低于检测下限(LLD)的病毒载量水平的处理方式、病毒载量轨迹中缺口的处理方式,以及何时应用对数转换(在累积计算之前还是之后)。不同的决策会产生不同的HIV病毒拷贝年数值,而这些差异可能会影响后续与结局关系分析中的推断。在本文中,我们开发了几个在以下方面进行了标准化的HIV病毒拷贝年数变量:

  • 锚定时间点

  • 低于LLD测量的病毒载量及缺失病毒载量测量值的处理

  • 对数转换的应用。

这些标准化变量可在纵向队列数据分析中持续使用。我们还定义了一个补充性的二分HIV病毒载量暴露变量,它可以与HIV病毒拷贝年数变量一起使用,或者作为替代使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f367/10070818/50d709995b5c/ga1.jpg

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