Powers Kimberly A, Samoff Erika, Weaver Mark A, Sampson Lynne A, Miller William C, Leone Peter A, Swygard Heidi
*Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; †Communicable Disease Branch, Division of Public Health, North Carolina Department of Health and Human Services, Raleigh, NC; ‡Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC; §Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; and ‖Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH.
J Acquir Immune Defic Syndr. 2017 Feb 1;74 Suppl 2(Suppl 2):S88-S95. doi: 10.1097/QAI.0000000000001234.
Long-term HIV care and treatment engagement is required for maximal clinical and prevention benefits, but longitudinal care patterns are poorly understood. We used the last 10 years' worth of HIV surveillance data from North Carolina to describe longitudinal HIV care trajectories from diagnosis.
We conducted a retrospective, population-based cohort study of all persons newly diagnosed with HIV in North Carolina between March 31, 2006 and March 31, 2015 (N = 16,207). We defined HIV care attendance in each 3-month and 6-month interval after diagnosis as the presence of viral load and/or CD4 records (care visit proxies) in the interval. We used group-based trajectory modeling to identify common care trajectories and baseline predictors thereof.
A predicted 26% of newly HIV-diagnosed persons showed consistently high care attendance over time; ∼16% exhibited steadily declining attendance; ∼26% showed consistently low attendance; ∼17% had initially weak attendance with an increase starting ∼1.5 year later; and ∼15% showed initially weak attendance with an increase starting ∼3 years later. Older age at diagnosis was protective against all suboptimal trajectories (with the "consistently high" pattern as referent), and being a man who has sex with men was protective against 3 of the 4 suboptimal patterns.
As measured by surveillance-based laboratory proxies, most newly HIV-diagnosed persons exhibited suboptimal care trajectories, but there was wide variation in the particular pathways followed. The insights provided by this analytical approach can help to inform the design of epidemic models and tailored interventions, with the ultimate goal of improving HIV care engagement and transmission prevention.
为了获得最大的临床和预防效益,需要长期参与艾滋病毒护理和治疗,但对纵向护理模式的了解却很少。我们利用北卡罗来纳州过去10年的艾滋病毒监测数据来描述从诊断开始的纵向艾滋病毒护理轨迹。
我们对2006年3月31日至2015年3月31日期间在北卡罗来纳州新诊断出感染艾滋病毒的所有人(N = 16,207)进行了一项基于人群的回顾性队列研究。我们将诊断后每3个月和6个月间隔内的艾滋病毒护理就诊定义为该间隔内病毒载量和/或CD4记录(护理就诊代理指标)的存在情况。我们使用基于组的轨迹模型来识别常见的护理轨迹及其基线预测因素。
预计26%新诊断出感染艾滋病毒的人随着时间推移护理就诊率一直很高;约16%的人就诊率稳步下降;约26%的人就诊率一直很低;约17%的人最初就诊率低,约1.5年后开始上升;约15%的人最初就诊率低,约3年后开始上升。诊断时年龄较大可预防所有次优轨迹(以“一直很高”模式为参照),男男性行为者可预防4种次优模式中的3种。
以基于监测的实验室代理指标衡量,大多数新诊断出感染艾滋病毒的人护理轨迹次优,但具体遵循的途径差异很大。这种分析方法提供的见解有助于为流行模型和量身定制的干预措施的设计提供信息,最终目标是改善艾滋病毒护理参与度和传播预防。