Parekh Bharat S, Hanson Debra L, Hargrove John, Branson Bernard, Green Timothy, Dobbs Trudy, Constantine Niel, Overbaugh Julie, McDougal J Steven
Division of Global AIDS Program, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
AIDS Res Hum Retroviruses. 2011 Mar;27(3):265-73. doi: 10.1089/aid.2010.0159. Epub 2010 Oct 18.
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 (ω)], 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 ω 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 ω was determined using two statistical approaches: (1) linear mixed effects regression (ω(1)) and (2) a nonparametric survival method (ω(2)). Recency periods varied among individuals and by population. At an OD-n cutoff of 0.8, ω(1) was 176 days (95% CL 164-188 days) whereas ω(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), ω(2) ranged from 127 days (Thai AE) to 236 days (subtypes AG, AD) with an overall ω(2) of 197 days (95% CL 173-220). About 70% of individuals reached a threshold OD-n of 0.8 by 197 days (mean ω) and 95% of people reached 0.8 OD-n by 480 days. The determination of ω with more data and new methodology suggests that ω of the BED-CEIA varies between different subtypes and/or populations. These estimates for ω may affect incidence estimates in various studies.
IgG捕获BED酶免疫测定法(BED-CEIA)被开发用于检测近期HIV-1感染,以便从横断面标本估计HIV-1发病率。血清转化与达到特定测定临界值之间的平均时间间隔(在此称为平均近期感染期(ω))是发病率估计的一个重要参数,已针对某些HIV-1亚型进行了确定,但在更多队列中的检测以及新的统计方法表明需要对不同亚型的ω进行修订估计。通过BED-CEIA对来自17项队列研究中756例HIV感染新发患者的总共2927份纵向标本进行了检测。使用两种统计方法确定ω:(1)线性混合效应回归(ω(1))和(2)非参数生存方法(ω(2))。近期感染期因个体和人群而异。在OD-n临界值为0.8时,使用可比标本子集(13个队列)时,ω(1)为176天(95%置信区间164 - 188天),而ω(2)为162天(95%置信区间152 - 172天)。当将方法2应用于所有可用数据(17个队列)时,ω(2)范围从127天(泰国AE亚型)到236天(AG、AD亚型),总体ω(2)为197天(95%置信区间173 - 220)。约70%的个体在197天(平均ω)时达到OD-n阈值0.8,95%的人在480天时达到0.8 OD-n。使用更多数据和新方法对ω的确定表明,BED-CEIA的ω在不同亚型和/或人群之间有所不同。这些ω估计值可能会影响各种研究中的发病率估计。