Needham Dale M, Dowdy David W, Mendez-Tellez Pedro A, Herridge Margaret S, Pronovost Peter J
Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Intensive Care Med. 2005 Sep;31(9):1153-60. doi: 10.1007/s00134-005-2656-7. Epub 2005 May 21.
Measurement of long-term outcomes and the patient and intensive care unit (ICU) factors predicting them present investigators with unique challenges. There is little systematic guidance for measuring these outcomes and exposures within the ICU setting. As a result measurement methods are often variable and non-comparable across studies.
We use examples from the critical care literature to describe measurement as it relates to three key elements of clinical studies: subjects, outcomes and exposures, and time. Using this framework we review the principles and challenges of measurement and make recommendations for long-term outcomes research in the field of critical care medicine.
Relevant challenges discussed include: (a) selection bias and heterogeneity of ICU research subjects, (b) appropriate selection and measurement of outcome and exposure variables, and (c) accounting for the effect of time in the exposure-outcome relationship, including measurement of baseline data and time-varying variables.
Addressing these methodological challenges will advance research aimed at improving the long-term outcomes of ICU survivors.
长期预后的测量以及预测这些预后的患者和重症监护病房(ICU)因素给研究人员带来了独特的挑战。在ICU环境中,对于测量这些预后和暴露因素几乎没有系统的指导。因此,测量方法在不同研究中往往各不相同且不可比。
我们使用重症监护文献中的例子来描述与临床研究的三个关键要素相关的测量,即受试者、预后和暴露因素以及时间。利用这个框架,我们回顾测量的原则和挑战,并为重症医学领域的长期预后研究提出建议。
所讨论的相关挑战包括:(a)ICU研究受试者的选择偏倚和异质性,(b)结局和暴露变量的适当选择和测量,以及(c)在暴露-结局关系中考虑时间的影响,包括基线数据和随时间变化变量的测量。
应对这些方法学挑战将有助于改善ICU幸存者的长期预后。