Seely Andrew J E, Macklem Peter T
Thoracic Surgery and Critical Care Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Crit Care. 2004 Dec;8(6):R367-84. doi: 10.1186/cc2948. Epub 2004 Sep 22.
Characteristic patterns of variation over time, namely rhythms, represent a defining feature of complex systems, one that is synonymous with life. Despite the intrinsic dynamic, interdependent and nonlinear relationships of their parts, complex biological systems exhibit robust systemic stability. Applied to critical care, it is the systemic properties of the host response to a physiological insult that manifest as health or illness and determine outcome in our patients. Variability analysis provides a novel technology with which to evaluate the overall properties of a complex system. This review highlights the means by which we scientifically measure variation, including analyses of overall variation (time domain analysis, frequency distribution, spectral power), frequency contribution (spectral analysis), scale invariant (fractal) behaviour (detrended fluctuation and power law analysis) and regularity (approximate and multiscale entropy). Each technique is presented with a definition, interpretation, clinical application, advantages, limitations and summary of its calculation. The ubiquitous association between altered variability and illness is highlighted, followed by an analysis of how variability analysis may significantly improve prognostication of severity of illness and guide therapeutic intervention in critically ill patients.
随时间变化的特征模式,即节律,代表了复杂系统的一个决定性特征,这一特征与生命同义。尽管复杂生物系统各部分之间存在内在的动态、相互依存和非线性关系,但它们仍表现出强大的系统稳定性。应用于重症监护领域,宿主对生理损伤的反应所具有的系统特性表现为健康或疾病状态,并决定了我们患者的治疗结果。变异性分析提供了一种评估复杂系统整体特性的新技术。本综述重点介绍了我们科学测量变异性的方法,包括对整体变异性的分析(时域分析、频率分布、谱功率)、频率贡献(频谱分析)、尺度不变(分形)行为(去趋势波动和幂律分析)以及规律性(近似熵和多尺度熵)。每种技术都给出了定义、解释、临床应用、优点、局限性及其计算方法总结。文中强调了变异性改变与疾病之间普遍存在的关联,随后分析了变异性分析如何显著改善疾病严重程度的预后评估,并指导重症患者的治疗干预。