*The Kirby Institute, University of New South Wales, Sydney, Australia; †Department of Medicine, Monash University, Melbourne, Australia; ‡Infectious Diseases Unit, The Alfred Hospital, Melbourne, Australia; §School of Public Health, University of Sydney, Sydney, Australia; ‖RPA Sexual Health, Royal Prince Alfred Hospital, Sydney, Australia; ¶Central Clinical School, University of Sydney, Sydney, Australia; #Melbourne Sexual Health Center, The Alfred Hospital, Melbourne, Australia; **The Albion Center, Sydney, Australia; ††School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia; and ‡‡Infectious Diseases, Monash Medical Centre, Melbourne, Australia.
J Acquir Immune Defic Syndr. 2014 May 1;66(1):55-64. doi: 10.1097/QAI.0000000000000125.
Recent studies suggest higher cumulative HIV viremia exposure measured as viremia copy-years (VCY) is associated with increased all-cause mortality. The objectives of this study are (1) report the association between VCY and all-cause mortality and (2) assess associations between common patient characteristics and VCY.
Analyses were based on patients recruited to the Australian HIV Observational Database (AHOD) who had received ≥24 weeks of antiretroviral therapy (ART). We established VCY after 1, 3, 5, and 10 years of ART by calculating the area under the plasma viral load time series. We used survival methods to determine the association between high VCY and all-cause mortality. We used multivariable mixed-effect models to determine predictors of VCY. We compared a baseline information model with a time-updated model to evaluate discrimination of patients with high VCY.
Of the 3021 AHOD participants who initiated ART, 2073 (69%), 1667 (55%), 1267 (42%), and 638 (21%) were eligible for analysis at 1, 3, 5, and 10 years of ART, respectively. Multivariable-adjusted hazard ratio association between all-cause mortality and high VCY was statistically significant, hazard ratio 1.52 (1.09, 2.13), P = 0.01. Predicting high VCY after 1 year of ART for a time-updated model compared with a baseline information model, the area under the sensitivity/specificity curve was 0.92 vs. 0.84; and at 10 years of ART, area under the sensitivity/specificity curve was 0.87 vs. 0.61, respectively.
A high cumulative measure of viral load after initiating ART is associated with increased risk of all-cause mortality. Identifying patients with high VCY is improved by incorporating time-updated information.
最近的研究表明,以病毒载量复制年(VCY)衡量的累计 HIV 病毒血症暴露量越高,全因死亡率就越高。本研究的目的是:(1)报告 VCY 与全因死亡率之间的关联;(2)评估常见患者特征与 VCY 之间的关联。
分析基于入组澳大利亚艾滋病毒观察数据库(AHOD)并接受至少 24 周抗逆转录病毒治疗(ART)的患者。通过计算血浆病毒载量时间序列下的面积来确定 ART 后 1、3、5 和 10 年的 VCY。我们使用生存方法确定高 VCY 与全因死亡率之间的关联。我们使用多变量混合效应模型确定 VCY 的预测因素。我们将基线信息模型与时间更新模型进行比较,以评估对高 VCY 患者的区分能力。
在入组 AHOD 的 3021 名接受 ART 的患者中,分别有 2073(69%)、1667(55%)、1267(42%)和 638(21%)名患者在 ART 后 1、3、5 和 10 年时可进行分析。多变量调整后的全因死亡率与高 VCY 之间的风险比关联具有统计学意义,风险比为 1.52(1.09,2.13),P=0.01。与基线信息模型相比,在 1 年时更新时间的模型对高 VCY 的预测,敏感性/特异性曲线下面积为 0.92 比 0.84;在 10 年时,敏感性/特异性曲线下面积为 0.87 比 0.61。
启动 ART 后,病毒载量的累积量较高与全因死亡率的增加风险相关。通过纳入时间更新信息,可以提高对高 VCY 患者的识别能力。