Olde Rikkert Marcel G M, Dakos Vasilis, Buchman Timothy G, Boer Rob de, Glass Leon, Cramer Angélique O J, Levin Simon, van Nes Egbert, Sugihara George, Ferrari Michel D, Tolner Else A, van de Leemput Ingrid, Lagro Joep, Melis René, Scheffer Marten
1Department of Geriatrics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.2Integrative Ecology Group, Bascompte Lab, Consejo Superior de Investigaciones Científicas, Estación Biológica de Doñana, CSIC, Sevilla, Spain.3Emory Center for Critical Care, Woodruff Health Sciences Center, Emory University, Atlanta, GA.4Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, The Netherlands.5Department of Physiology, McGill University, Montreal, Quebec, Canada.6Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.7Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ.8Aquatic Ecology and Water Quality Management, Wageningen University, Wageningen, The Netherlands.9Scripps Institution of Oceanography, University Centre San Diego, San Diego, CA.10Department of Neurology and Leiden Center for Translational Neuroscience, Leiden University Medical Centre, Leiden, The Netherlands.11Department of Internal Medicine, Haga Hospital, Den Haag, The Netherlands.
Crit Care Med. 2016 Mar;44(3):601-6. doi: 10.1097/CCM.0000000000001564.
We propose a novel paradigm to predict acute attacks and exacerbations in chronic episodic disorders such as asthma, cardiac arrhythmias, migraine, epilepsy, and depression. A better generic understanding of acute transitions in chronic dynamic diseases is increasingly important in critical care medicine because of the higher prevalence and incidence of these chronic diseases in our aging societies.
PubMed, Medline, and Web of Science.
We selected studies from biology and medicine providing evidence of slowing down after a perturbation as a warning signal for critical transitions.
Recent work in ecology, climate, and systems biology has shown that slowing down of recovery upon perturbations can indicate loss of resilience across complex, nonlinear biologic systems that are approaching a tipping point. This observation is supported by the empiric studies in pathophysiology and controlled laboratory experiments with other living systems, which can flip from one state of clinical balance to a contrasting one. We discuss examples of such evidence in bodily functions such as blood pressure, heart rate, mood, and respiratory regulation when a tipping point for a transition is near.
We hypothesize that in a range of chronic episodic diseases, indicators of critical slowing down, such as rising variance and temporal correlation, may be used to assess the risk of attacks, exacerbations, and even mortality. Identification of such early warning signals over a range of diseases will enhance the understanding of why, how, and when attacks and exacerbations will strike and may thus improve disease management in critical care medicine.
我们提出一种新的范式,用于预测哮喘、心律失常、偏头痛、癫痫和抑郁症等慢性发作性疾病的急性发作和病情加重。由于在老龄化社会中这些慢性病的患病率和发病率较高,因此在重症医学中,对慢性动态疾病急性转变的更全面的一般性理解变得越来越重要。
PubMed、Medline和科学网。
我们从生物学和医学领域选取了一些研究,这些研究提供了扰动后恢复减缓作为关键转变预警信号的证据。
生态学、气候学和系统生物学方面的最新研究表明,扰动后恢复减缓可能表明接近临界点的复杂非线性生物系统失去了恢复力。病理生理学的实证研究和对其他生物系统的对照实验室实验支持了这一观察结果,这些生物系统可以从一种临床平衡状态转变为另一种相反状态。我们讨论了在血压、心率、情绪和呼吸调节等身体功能中,当转变的临界点临近时这种证据的例子。
我们假设,在一系列慢性发作性疾病中,诸如方差增加和时间相关性等关键减缓指标可用于评估发作、病情加重甚至死亡的风险。识别一系列疾病中的此类早期预警信号将增进对发作和病情加重为何、如何以及何时发生的理解,从而可能改善重症医学中的疾病管理。