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首页> 外文期刊>AIDS Research and Human Retroviruses >Determination of mean recency period for estimation of HIV type 1 Incidence with the BED-capture EIA in persons infected with diverse subtypes.
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Determination of mean recency period for estimation of HIV type 1 Incidence with the BED-capture EIA in persons infected with diverse subtypes.

机译：确定平均新近期，以估计BED捕获EIA对感染各种亚型的人的HIV 1型发病率。

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摘要

The IgG capture BED enzyme immunoassay (BED-CEIA) was developed to detect recent HIV-1 infection for the estimation of HIV-1 incidence from cross-sectional specimens. The mean time interval between seroconversion and reaching a specified assay cutoff value [referred to here as the mean recency period (omega)], an important parameter for incidence estimation, is determined for some HIV-1 subtypes, but testing in more cohorts and new statistical methods suggest the need for a revised estimation of omega in different subtypes. A total of 2927 longitudinal specimens from 756 persons with incident HIV infections who had been enrolled in 17 cohort studies was tested by the BED-CEIA. The omega was determined using two statistical approaches: (1) linear mixed effects regression (omega(1)) and (2) a nonparametric survival method (omega(2)). Recency periods varied among individuals and by population. At an OD-n cutoff of 0.8, omega(1) was 176 days (95% CL 164-188 days) whereas omega(2) was 162 days (95% CL 152-172 days) when using a comparable subset of specimens (13 cohorts). When method 2 was applied to all available data (17 cohorts), omega(2) ranged from 127 days (Thai AE) to 236 days (subtypes AG, AD) with an overall omega(2) of 197 days (95% CL 173-220). About 70% of individuals reached a threshold OD-n of 0.8 by 197 days (mean omega) and 95% of people reached 0.8 OD-n by 480 days. The determination of omega with more data and new methodology suggests that omega of the BED-CEIA varies between different subtypes and/or populations. These estimates for omega may affect incidence estimates in various studies.
机译：IgG捕获BED酶免疫测定法（BED-CEIA）用于检测最近的HIV-1感染，以便从横截面样本中估计HIV-1的发生率。对于某些HIV-1亚型，确定了血清转化与达到指定的测定截止值之间的平均时间间隔（此处称为平均新近度（omega）），这是发病率估算的重要参数，但是在更多的人群中进行了测试统计方法表明需要对不同亚型中的欧米茄进行修正的估算。 BED-CEIA对来自756名艾滋病毒感染者的2927个纵向样本进行了17项队列研究。使用两种统计方法确定omega：（1）线性混合效应回归（omega（1））和（2）非参数生存法（omega（2））。新近时期因个人和人口而异。当OD-n截止值为0.8时，使用可比较的样本子集时，omega（1）为176天（95％CL 164-188天），而omega（2）为162天（95％CL 152-172天）（ 13个群组）。将方法2应用于所有可用数据（17个队列）时，omega（2）的范围从127天（泰国AE）到236天（亚型AG，AD），总的ω（2）为197天（95％CL 173） -220）。约有70％的人在197天（平均ω）时达到OD-n阈值0.8，而95％的人在480天时达到0.8 OD-n阈值。用更多数据和新方法测定欧米茄表明，BED-CEIA的欧米茄在不同亚型和/或人群之间有所不同。这些欧米茄估计值可能会影响各种研究中的发病率估计值。

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