Department of Applied Mathematics and Computer Sciences, Ghent University, Ghent, Belgium.
Am J Respir Crit Care Med. 2011 Nov 15;184(10):1133-9. doi: 10.1164/rccm.201105-0867OC.
Measuring the attributable mortality of ventilator-associated pneumonia (VAP) is challenging and prone to different forms of bias. Studies addressing this issue have produced variable and controversial results.
We estimate the attributable mortality of VAP in a large multicenter cohort using statistical methods from the field of causal inference.
Patients (n = 4,479) from the longitudinal prospective (1997-2008) French multicenter Outcomerea database were included if they stayed in the intensive care unit (ICU) for at least 2 days and received mechanical ventilation (MV) within 48 hours after ICU admission. A competing risk survival analysis, treating ICU discharge as a competing risk for ICU mortality, was conducted using a marginal structural modeling approach to adjust for time-varying confounding by disease severity.
Six hundred eighty-five (15.3%) patients acquired at least one episode of VAP. We estimated that 4.4% (95% confidence interval, 1.6-7.0%) of the deaths in the ICU on Day 30 and 5.9% (95% confidence interval, 2.5-9.1%) on Day 60 are attributable to VAP. With an observed ICU mortality of 23.3% on Day 30 and 25.6% on Day 60, this corresponds to an ICU mortality attributable to VAP of about 1% on Day 30 and 1.5% on Day 60.
Our study on the attributable mortality of VAP is the first that simultaneously accounts for the time of acquiring VAP, informative loss to follow-up after ICU discharge, and the existence of complex feedback relations between VAP and the evolution of disease severity. In contrast to the majority of previous reports, we detected a relatively limited attributable ICU mortality of VAP.
评估呼吸机相关性肺炎(VAP)的病死率具有挑战性,并且容易受到不同类型偏倚的影响。研究呼吸机相关性肺炎病死率的相关研究结果存在差异,颇具争议。
我们使用因果推理领域的统计方法,从大型多中心队列中估计呼吸机相关性肺炎的病死率。
我们纳入了纵向前瞻性(1997-2008 年)法国多中心 Outcomesrea 数据库中的患者(n=4479),这些患者入住重症监护病房(ICU)至少 2 天,并且在入住 ICU 后 48 小时内接受机械通气(MV)。采用边际结构模型方法进行竞争风险生存分析,将 ICU 出院视为 ICU 死亡率的竞争风险,以调整疾病严重程度的时变混杂因素。
685 例(15.3%)患者至少发生 1 次 VAP 。我们估计,第 30 天和第 60 天 ICU 死亡率归因于 VAP 的分别为 4.4%(95%置信区间,1.6-7.0%)和 5.9%(95%置信区间,2.5-9.1%)。在第 30 天和第 60 天观察到的 ICU 死亡率分别为 23.3%和 25.6%,这相当于第 30 天和第 60 天归因于 VAP 的 ICU 死亡率分别为 1%和 1.5%。
我们的研究首次同时考虑了获得 VAP 的时间、ICU 出院后信息缺失随访以及 VAP 与疾病严重程度演变之间存在复杂反馈关系对 VAP 病死率归因的影响。与大多数先前的报告不同,我们发现 VAP 归因于 ICU 的死亡率相对有限。