EA 11, Albert Bonniot Institute U823, Joseph Fourier University, Paris, France.
Curr Opin Crit Care. 2011 Oct;17(5):464-71. doi: 10.1097/MCC.0b013e32834a5ae9.
To critically discuss the attributable mortality of ventilator-associated pneumonia (VAP) and potential sources of variation.
The review will cover the available estimates (0-50%). It will also explore the source of variation because of definition of VAP (being lower if inaccurate), case-mix issues (being lower for trauma patients), the severity of underlying illnesses (being maximal when the severity of underlying illness is intermediate), and on the characteristics and the severity of the VAP episode. Another important source of variation is the use of poorly appropriate statistical models (estimates biased by lead time bias and competing events). New extensions of survival models which take into account the time dependence of VAP occurrence and competing risks allow less biased estimation as compared with traditional models.
Attributable mortality of VAP is about 6%. Accurate diagnostic methods are key to properly estimating it. Traditional statistical models should no longer be used to estimate it. Prevention efforts targeted on patients with intermediate severity may result in the most important outcome benefits.
批判性讨论呼吸机相关性肺炎(VAP)的归因死亡率和潜在的变异来源。
综述将涵盖可用的估计值(0-50%)。它还将探讨由于 VAP 的定义(如果不准确则较低)、病例组合问题(创伤患者较低)、基础疾病严重程度(基础疾病严重程度中等时最大)以及 VAP 发作的特征和严重程度而导致的变异来源。另一个重要的变异来源是使用不合适的统计模型(由于领先时间偏差和竞争事件导致估计值存在偏差)。与传统模型相比,新的生存模型扩展,考虑到 VAP 发生和竞争风险的时间依赖性,可以进行更少偏差的估计。
VAP 的归因死亡率约为 6%。准确的诊断方法是正确估计它的关键。传统的统计模型不应再用于估计它。针对中度严重程度患者的预防措施可能会带来最重要的结果效益。