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抗菌药物降阶梯治疗对死亡率影响的文献评价:观察性研究方法学及建议

Impact of antimicrobial de-escalation on mortality: a literature review of study methodology and recommendations for observational studies.

机构信息

Department of Clinical Pharmacy, Tergooi Hospital, Hilversum/Blaricum, The Netherlands.

Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.

出版信息

Expert Rev Anti Infect Ther. 2020 May;18(5):405-413. doi: 10.1080/14787210.2020.1743683. Epub 2020 Mar 21.

Abstract

: The safety of de-escalation of empirical antimicrobial therapy is largely based on observational data, with many reporting protective effects on mortality. As there is no plausible biological explanation for this phenomenon, it is most probably caused by confounding by indication.: We evaluate the methodology used in observational studies on the effects of de-escalation of antimicrobial therapy on mortality. We extended the search for a recent systematic review and identified 52 observational studies. The heterogeneity in study populations was large. Only 19 (36.5%) studies adjusted for confounders and four (8%) adjusted for clinical stability during admission, all as a fixed variable. All studies had methodological limitations, most importantly the lack of adjustment for clinical stability, causing bias toward a protective effect.: The methodology used in studies evaluating the effects of de-escalation on mortality requires improvement. We depicted all potential confounders in a directed acyclic graph to illustrate all associations between exposure (de-escalation) and outcome (mortality). Clinical stability is an important confounder in this association and should be modeled as a time-varying variable. We recommend to include de-escalation as time-varying exposure and use inverse-probability-of-treatment weighted marginal structural models to properly adjust for time-varying confounders.

摘要

: 降级使用经验性抗菌治疗的安全性主要基于观察性数据,许多研究报告称其对死亡率有保护作用。由于这种现象没有合理的生物学解释,因此很可能是由指示性混淆引起的。: 我们评估了关于降级使用抗菌治疗对死亡率影响的观察性研究中使用的方法学。我们扩展了对最近系统评价的搜索,并确定了 52 项观察性研究。研究人群的异质性很大。只有 19 项(36.5%)研究调整了混杂因素,4 项(8%)研究调整了住院期间的临床稳定性,均作为固定变量进行调整。所有研究都存在方法学上的局限性,最重要的是缺乏对临床稳定性的调整,导致对保护作用的偏向。: 评估降级对死亡率影响的研究中使用的方法学需要改进。我们在有向无环图中描绘了所有潜在的混杂因素,以说明暴露(降级)和结局(死亡率)之间的所有关联。在这种关联中,临床稳定性是一个重要的混杂因素,应该作为一个时变变量进行建模。我们建议将降级作为时变暴露,并使用逆概率治疗加权边际结构模型来正确调整时变混杂因素。

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