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Slowing Down of Recovery as Generic Risk Marker for Acute Severity Transitions in Chronic Diseases

期刊

CRITICAL CARE MEDICINE
卷 44, 期 3, 页码 601-606

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/CCM.0000000000001564

关键词

nonlinear dynamics; recovery of function; critical slowing down; resilience

资金

  1. Dutch Research Counsel
  2. Netherlands Organisation for Scientific Research (NOW)
  3. ZonMW
  4. Netherlands Organisation for Health Research and Development [60-61900-98-272]
  5. Rubicon grant (NOW, The Netherlands)
  6. Marie Curie grant (European Union [EU])
  7. Center for Medicare & Medicaid Services
  8. Department of Defense (DoD)
  9. Emory
  10. Emory's Center for Medicare and Medicaid Innovation award
  11. DoD SC2i initiative
  12. Virgo
  13. NWO
  14. EU
  15. Heart and Stroke Foundation of Canada
  16. Natural Sciences + Engineering Research Council
  17. Medtronic
  18. NWO Innovational Research Grant (VIDI) [451-03-068]
  19. Science and Technology Directorate, Department of Homeland Security [HSHQDC-12-C-00058]
  20. Princeton University through Grand Challenges Program
  21. ERC
  22. NWO (The Netherlands)
  23. European Research Council (ERC) under ERC [268732]
  24. Netherlands Organisation for Health Research and Development
  25. EU EUROHEADPAIN grant [602633]
  26. Leiden University Medical Center Fellowship, an FP7 Marie Curie Career Integration Grant [294233]
  27. Sudden Unexpected Death in Epilepsy research award [280560]
  28. European Research Council (ERC) [268732] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

Objective: 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. Data Sources: PubMed, Medline, and Web of Science. Study Selection: We selected studies from biology and medicine providing evidence of slowing down after a perturbation as a warning signal for critical transitions. Data Extraction: 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. Conclusions: 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.

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