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分段 HIV 病毒动力学模型与 CD4(+) T 细胞计数指导治疗:一。

Piecewise HIV virus dynamic model with CD4(+) T cell count-guided therapy: I.

机构信息

College of Mathematics and Information Science, Shaanxi Normal University, Xi'an 710062, PR China.

出版信息

J Theor Biol. 2012 Sep 7;308:123-34. doi: 10.1016/j.jtbi.2012.05.022. Epub 2012 May 31.

Abstract

The strategies of structured treatment interruptions (STIs) of antiretroviral therapies have been proposed for clinical management of HIV infected patients, but clinical studies on STIs failed to achieve a consistent conclusion for this strategy. To evaluate the STI strategies, in particular, CD4(+) T cell count-guided STIs, and explain these controversial conclusions from different clinical studies, in this paper we propose to use piecewise HIV virus dynamic models to quantitatively explore the STI strategies and investigate their dynamic behaviors. Our analysis results indicate that CD4(+) T cell counts can be maintained above a safe level using the STI with a single threshold or a threshold window. Numerical simulations show that the CD4(+) T cell counts either fluctuate or approach a stable level for a patient, depending on the prescribed upper or lower threshold values. In particular, the CD4(+) T cell counts can be stabilized at a desired level if the threshold policy control is applied. The durations of drug-on and drug-off are very sensitive to the prescribed upper or lower threshold levels, which possibly explains why the on-off strategy with fixed schedule or an STI strategy with frequent switches are associated with the high rate of failure. Our findings suggest that it is critical to carefully choose the thresholds of CD4(+) T cell count and individualize the STIs for each individual patient based on initial CD4(+) T cell counts.

摘要

抗逆转录病毒疗法的结构化治疗中断(STI)策略已被提议用于 HIV 感染患者的临床管理,但 STI 的临床研究未能对此策略得出一致的结论。为了评估 STI 策略,特别是 CD4(+) T 细胞计数指导的 STI,并从不同的临床研究中解释这些有争议的结论,本文提出使用分段 HIV 病毒动力学模型来定量探索 STI 策略并研究它们的动态行为。我们的分析结果表明,使用单一阈值或阈值窗口的 STI 可以将 CD4(+) T 细胞计数维持在安全水平之上。数值模拟表明,取决于规定的上限或下限阈值值,患者的 CD4(+) T 细胞计数要么波动,要么接近稳定水平。特别是,如果应用阈值策略控制,CD4(+) T 细胞计数可以稳定在所需水平。药物开和关的持续时间对规定的上限或下限阈值水平非常敏感,这可能解释了为什么固定时间表的开-关策略或频繁切换的 STI 策略与高失败率相关。我们的研究结果表明,根据初始 CD4(+) T 细胞计数,仔细选择 CD4(+) T 细胞计数的阈值并为每个个体患者个体化 STI 非常重要。

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