运用所得：危重症的动态生理特征
Using what you get: dynamic physiologic signatures of critical illness.
作者信息
Holder Andre L, Clermont Gilles
机构信息
Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
出版信息
Crit Care Clin. 2015 Jan;31(1):133-64. doi: 10.1016/j.ccc.2014.08.007.
Abstract
The development and resolution of cardiopulmonary instability take time to become clinically apparent, and the treatments provided take time to have an impact. The characterization of dynamic changes in hemodynamic and metabolic variables is implicit in physiologic signatures. When primary variables are collected with high enough frequency to derive new variables, this data hierarchy can be used to develop physiologic signatures. The creation of physiologic signatures requires no new information; additional knowledge is extracted from data that already exist. It is possible to create physiologic signatures for each stage in the process of clinical decompensation and recovery to improve outcomes.
摘要
心肺功能不稳定的发展和缓解需要时间才能在临床上显现出来，所提供的治疗也需要时间才能产生效果。血流动力学和代谢变量的动态变化特征隐含在生理特征中。当以足够高的频率收集主要变量以导出新变量时，这种数据层次结构可用于开发生理特征。生理特征的创建不需要新信息；从已有的数据中提取额外的知识。有可能为临床失代偿和恢复过程中的每个阶段创建生理特征，以改善治疗结果。
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