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预防性治疗如何影响耐药性的流行?原因与后果。

How could preventive therapy affect the prevalence of drug resistance? Causes and consequences.

作者信息

Kunkel Amber, Colijn Caroline, Lipsitch Marc, Cohen Ted

机构信息

Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06520, USA

Department of Mathematics, Imperial College, London SW7 2AZ, UK.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2015 Jun 5;370(1670):20140306. doi: 10.1098/rstb.2014.0306.

Abstract

Various forms of preventive and prophylactic antimicrobial therapies have been proposed to combat HIV (e.g. pre-exposure prophylaxis), tuberculosis (e.g. isoniazid preventive therapy) and malaria (e.g. intermittent preventive treatment). However, the potential population-level effects of preventative therapy (PT) on the prevalence of drug resistance are not well understood. PT can directly affect the rate at which resistance is acquired among those receiving PT. It can also indirectly affect resistance by altering the rate at which resistance is acquired through treatment for active disease and by modifying the level of competition between transmission of drug-resistant and drug-sensitive pathogens. We propose a general mathematical model to explore the ways in which PT can affect the long-term prevalence of drug resistance. Depending on the relative contributions of these three mechanisms, we find that increasing the level of coverage of PT may result in increases, decreases or non-monotonic changes in the overall prevalence of drug resistance. These results demonstrate the complexity of the relationship between PT and drug resistance in the population. Care should be taken when predicting population-level changes in drug resistance from small pilot studies of PT or estimates based solely on its direct effects.

摘要

人们已经提出了各种形式的预防性抗菌治疗方法来对抗艾滋病毒(如暴露前预防)、结核病(如异烟肼预防性治疗)和疟疾(如间歇性预防治疗)。然而,预防性治疗(PT)对耐药性流行率的潜在人群水平影响尚未得到充分了解。PT可以直接影响接受PT者中获得耐药性的速率。它还可以通过改变通过治疗活动性疾病获得耐药性的速率以及改变耐药病原体和敏感病原体传播之间的竞争水平来间接影响耐药性。我们提出了一个通用的数学模型来探索PT影响耐药性长期流行率的方式。根据这三种机制的相对贡献,我们发现提高PT的覆盖水平可能会导致耐药性总体流行率增加、降低或非单调变化。这些结果证明了人群中PT与耐药性之间关系的复杂性。在根据PT的小型试点研究或仅基于其直接效应的估计来预测人群水平的耐药性变化时应谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a845/4424438/1af5097bba3c/rstb20140306-g1.jpg

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