一种建模框架,用于在“实现零艾滋”倡议背景下为预防暴露前用药的启动和维持扩大规模提供信息。

A modeling framework to inform preexposure prophylaxis initiation and retention scale-up in the context of 'Getting to Zero' initiatives.

机构信息

Chicago Center for HIV Elimination.

Department of Medicine.

出版信息

AIDS. 2019 Oct 1;33(12):1911-1922. doi: 10.1097/QAD.0000000000002290.

Abstract

OBJECTIVE(S): 'Getting to Zero' (GTZ) initiatives aim to eliminate new HIV infections over a projected time frame. Increased preexposure prophylaxis (PrEP) uptake among populations with the highest HIV incidence, such as young Black MSM, is necessary to accomplish this aim. Agent-based network models (ABNMs) can help guide policymakers on strategies to increase PrEP uptake.

DESIGN

Effective PrEP implementation requires a model that incorporates the dynamics of interventions and dynamic feedbacks across multiple levels including virus, host, behavior, networks, and population. ABNMs are a powerful tool to incorporate these processes.

METHODS

An ABNM, designed for and parameterized using data for young Black MSM in Illinois, was used to compare the impact of PrEP initiation and retention interventions on HIV incidence after 10 years, consistent with GTZ timelines. Initiation interventions selected individuals in serodiscordant partnerships, or in critical sexual network positions, and compared with a controlled setting where PrEP initiators were randomly selected. Retention interventions increased the mean duration of PrEP use. A combination intervention modeled concurrent increases in PrEP initiation and retention.

RESULTS

Selecting HIV-negative individuals for PrEP initiation in serodiscordant partnerships resulted in the largest HIV incidence declines, relative to other interventions. For a given PrEP uptake level, distributing effort between increasing PrEP initiation and retention in combination was approximately as effective as increasing only one exclusively.

CONCLUSION

Simulation results indicate that expanded PrEP interventions alone may not accomplish GTZ goals within a decade, and integrated scale-up of PrEP, antiretroviral therapy, and other interventions might be necessary.

摘要

目的

“归零”倡议旨在在预计的时间内消除新的 HIV 感染。在 HIV 发病率最高的人群(如年轻的黑人男男性行为者)中增加暴露前预防(PrEP)的使用,是实现这一目标的必要条件。基于主体的网络模型(ABNM)可以帮助政策制定者制定增加 PrEP 使用率的策略。

设计

有效的 PrEP 实施需要一个模型,该模型将干预措施的动态和多层面的动态反馈纳入其中,包括病毒、宿主、行为、网络和人群。ABNM 是纳入这些过程的有力工具。

方法

使用针对伊利诺伊州年轻黑人男男性行为者设计并根据其数据进行参数化的 ABNM,比较了 PrEP 启动和保留干预措施对 HIV 发病率的影响,持续时间为 10 年,符合“归零”时间表。启动干预措施选择处于血清不一致伴侣关系或关键性网络位置的个体,并与 PrEP 启动者随机选择的对照环境进行比较。保留干预措施增加了 PrEP 使用的平均持续时间。组合干预措施模拟了 PrEP 启动和保留的同时增加。

结果

在血清不一致的伴侣关系中选择 HIV 阴性个体进行 PrEP 启动,与其他干预措施相比,HIV 发病率下降幅度最大。在给定的 PrEP 吸收率水平下,在增加 PrEP 启动和保留的组合之间分配努力与仅增加一个方面的效果大致相同。

结论

模拟结果表明,仅扩大 PrEP 干预措施可能无法在十年内实现“归零”目标,可能需要扩大 PrEP、抗逆转录病毒疗法和其他干预措施的综合实施。

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