回复Weber, von Cube, Sommer, Wolkewitz:一种竞争风险方法在中央静脉相关血流感染风险因素分析中的必要性

S. Kuhle, J. Carter, S. Kirkland, J. Langley, B. Maguire, Bruce Smith
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引用次数: 2

摘要

我们感谢Weber女士及其同事对使用Cox比例风险模型分析儿童中央线相关血流感染(CLABSIs)危险因素的评论,在该研究中,我们使用Cox比例风险模型来确定该结果的危险因素。在我们的分析中,切除中心静脉导管被视为切除。Weber等人认为,删除划线构成了CLABSI的竞争风险,因为不能再假设没有划线的儿童与有划线的儿童具有相同的CLABSI风险(审查的基本假设)。我们真诚地感谢这些评论,这些评论强调了在这种情况下需要提高对Cox比例风险法假设的认识。我们同意,中心静脉导管的移除确实构成了竞争风险。在我们的队列研究中,只有两种可能的结果与中心静脉导管的寿命有关:感染和导管拔除。由于感染控制小组对所有的感染线进行了跟踪直到移除,因此没有因随访损失而进行审查。我们重新分析了数据,并按照Weber等人的建议绘制了CLABSI的累积关联函数图。该曲线在最后一次事件发生当天达到了CLABSI的经验累积发生率6.8%(图1)。我们使用(1)亚分布风险(SHR)方法和(2)原因特异性风险方法(分别对线感染或拔管时间建模,每次将另一个作为审查事件)进一步重新运行Cox比例风险模型。在回顾文献并与统计学家同事讨论后,我们认为第一种方法(SHR)不适合回答我们的研究问题。SHR方法描述的是已经切除了其细胞系(竞争事件)的患者的CLABSI风险,即,在一个不存在的理论人群中。这种方法在文献中被提倡用于预测建模,而不是病因学研究(如我们的研究)。相比之下,来自病因特异性模型的风险比可以解释为尚未(尚未)行CLABSI且未拔除导管(竞争事件)的患者发生CLABSI的风险。在这种对风险比的解释中,我们的论文中提出的估计是正确的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reply to Weber, von Cube, Sommer, Wolkewitz: Necessity of a Competing Risk Approach in Risk Factor Analysis of Central-Line–Associated Bloodstream Infection
To the Editor—We thank Ms. Weber and colleagues for their comments regarding the use of the Cox proportional hazards model to analyze risk factors for central-line–associated bloodstream infections (CLABSIs) in children, in which we used a Cox proportional hazards model to determine risk factors for this outcome. In our analysis, removal of the central venous cathether was treated as censoring. Weber et al suggest that removal of the line constitutes a competing risk for CLABSI because children without a line can no longer be assumed to be at the same risk for CLABSI than those with a line (the fundamental assumption of censoring). We sincerely appreciate these comments, which highlight the need for increased awareness of the assumptions of the Cox proportional hazard method in this setting. We agree that removal of the central venous catheter indeed constitutes a competing risk. In our cohort study, there were only 2 possible outcomes with regard to the life of the central venous catheter: infection and catheter removal. Because all lines are followed by the infection control team until removal, there was no censoring due to loss to follow-up. We have re-analyzed the data and have graphed the cumulative incidence function of CLABSI as suggested by Weber et al. The curve reaches the empirical cumulative incidence of CLABSI of 6.8% on the day of the last event (Figure 1). We have further rerun the Cox proportional hazards model using (1) the subdistribution hazard (SHR) approach and (2) the cause-specific hazard approach (modeling the time to line infection or catheter removal separately, each time treating the other as the censoring event). After reviewing the literature and in discussion with statistician colleagues, we feel that the first approach (SHR) is not suitable to answer our research question. The SHR approach describes the CLABSI risk in patients who already had their line removed (the competing event), ie, in a non-existing, theoretical population. This approach has been advocated in the literature for prediction modeling rather than etiologic research (like our study). By contrast, the hazard ratios from the cause-specific models can be interpreted as the risk of CLABSI in patients who have not (yet) had CLABSI and have not had their catheter removed (the competing event). Within this interpretation of the hazard ratios, the estimates presented in our paper are correct.
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