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启动或停止治疗后,关于 HIV 疾病进展的模型假设对扩大抗逆转录病毒治疗避免感染和死亡人数的估计的影响。

Influence of model assumptions about HIV disease progression after initiating or stopping treatment on estimates of infections and deaths averted by scaling up antiretroviral therapy.

机构信息

Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States of America.

出版信息

PLoS One. 2018 Mar 19;13(3):e0194220. doi: 10.1371/journal.pone.0194220. eCollection 2018.

Abstract

BACKGROUND

Many mathematical models have investigated the population-level impact of expanding antiretroviral therapy (ART), using different assumptions about HIV disease progression on ART and among ART dropouts. We evaluated the influence of these assumptions on model projections of the number of infections and deaths prevented by expanded ART.

METHODS

A new dynamic model of HIV transmission among men who have sex with men (MSM) was developed, which incorporated each of four alternative assumptions about disease progression used in previous models: (A) ART slows disease progression; (B) ART halts disease progression; (C) ART reverses disease progression by increasing CD4 count; (D) ART reverses disease progression, but disease progresses rapidly once treatment is stopped. The model was independently calibrated to HIV prevalence and ART coverage data from the United States under each progression assumption in turn. New HIV infections and HIV-related deaths averted over 10 years were compared for fixed ART coverage increases.

RESULTS

Little absolute difference (<7 percentage points (pp)) in HIV infections averted over 10 years was seen between progression assumptions for the same increases in ART coverage (varied between 33% and 90%) if ART dropouts reinitiated ART at the same rate as ART-naïve MSM. Larger differences in the predicted fraction of HIV-related deaths averted were observed (up to 15pp). However, if ART dropouts could only reinitiate ART at CD4<200 cells/μl, assumption C predicted substantially larger fractions of HIV infections and deaths averted than other assumptions (up to 20pp and 37pp larger, respectively).

CONCLUSION

Different disease progression assumptions on and post-ART interruption did not affect the fraction of HIV infections averted with expanded ART, unless ART dropouts only re-initiated ART at low CD4 counts. Different disease progression assumptions had a larger influence on the fraction of HIV-related deaths averted with expanded ART.

摘要

背景

许多数学模型研究了扩大抗逆转录病毒疗法(ART)对人群的影响,这些模型使用了不同的假设来描述 ART 治疗期间和停药后 HIV 疾病的进展。我们评估了这些假设对模型预测扩大 ART 预防感染和死亡人数的影响。

方法

我们开发了一种新的男男性行为者(MSM)人群中 HIV 传播的动态模型,该模型纳入了之前模型中使用的四种关于疾病进展的替代假设之一:(A)ART 减缓疾病进展;(B)ART 停止疾病进展;(C)ART 通过增加 CD4 计数逆转疾病进展;(D)ART 逆转疾病进展,但一旦停止治疗,疾病会迅速进展。该模型根据每种进展假设,分别对美国的 HIV 流行率和 ART 覆盖率数据进行了独立校准。针对固定的 ART 覆盖率增加,比较了在 10 年内避免新发 HIV 感染和 HIV 相关死亡的情况。

结果

如果 ART 停药者以与 ART 初治 MSM 相同的速度重新开始 ART,对于相同的 ART 覆盖率增加,不同进展假设下,10 年内避免的 HIV 感染人数的绝对差异较小(<7 个百分点(pp))(变化范围在 33%到 90%之间)。避免的 HIV 相关死亡人数的预测比例存在较大差异(最多 15pp)。然而,如果 ART 停药者只能在 CD4<200 个细胞/μl 时重新开始 ART,假设 C 预测的 HIV 感染和死亡人数的避免比例要明显高于其他假设(分别高出 20pp 和 37pp)。

结论

在 ART 中断前后,不同的疾病进展假设并不会影响扩大 ART 避免 HIV 感染的比例,除非 ART 停药者仅在 CD4 计数较低时重新开始 ART。不同的疾病进展假设对扩大 ART 避免 HIV 相关死亡的比例影响更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2af9/5858778/1134195cdca6/pone.0194220.g001.jpg

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