Treatment of Respiratory Viral Coinfections.

Paul Alexander, Hana M Dobrovolny
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Abstract

With the advent of rapid multiplex PCR, physicians have been able to test for multiple viral pathogens when a patient presents with influenza-like illness. This has led to the discovery that many respiratory infections are caused by more than one virus. Antiviral treatment of viral coinfections can be complex because treatment of one virus will affect the time course of the other virus. Since effective antivirals are only available for some respiratory viruses, careful consideration needs to be given on the effect treating one virus will have on the dynamics of the other virus, which might not have available antiviral treatment. In this study, we use mathematical models of viral coinfections to assess the effect of antiviral treatment on coinfections. We examine the effect of the mechanism of action, relative growth rates of the viruses, and the assumptions underlying the interaction of the viruses. We find that high antiviral efficacy is needed to suppress both infections. If high doses of both antivirals are not achieved, then we run the risk of lengthening the duration of coinfection or even of allowing a suppressed virus to replicate to higher viral titers.

Abstract Image

Abstract Image

Abstract Image

呼吸道病毒合并感染的治疗。
随着快速多重 PCR 技术的出现,医生能够在患者出现流感样病症时检测多种病毒病原体。由此发现,许多呼吸道感染都是由一种以上的病毒引起的。病毒合并感染的抗病毒治疗可能很复杂,因为治疗一种病毒会影响另一种病毒的病程。由于有效的抗病毒药物只适用于某些呼吸道病毒,因此需要仔细考虑治疗一种病毒对另一种病毒的动态影响,因为另一种病毒可能无法获得抗病毒治疗。在本研究中,我们使用病毒合并感染的数学模型来评估抗病毒治疗对合并感染的影响。我们研究了作用机制、病毒的相对生长率以及病毒相互作用的基本假设的影响。我们发现,抑制两种感染都需要很高的抗病毒疗效。如果不能实现两种抗病毒药物的高剂量,那么我们就有可能延长合并感染的持续时间,甚至让被抑制的病毒复制到更高的病毒滴度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.60
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0.00%
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审稿时长
7 weeks
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