Literature DB >> 8858016

Physiologic stability and physiologic state.

T G Buchman1.   

Abstract

Several disease states (e.g., disseminated inflammation) demonstrate physiologic stability: they resolve only slowly and are resistant to both specific and symptomatic therapies. The existence of multiple stable physiologic states, including both health and disease states, is not anticipated by classical, linear descriptions of physiologic control mechanisms. Multiple stable states are, however, predicted by a simple nonlinear model in which the resistance to perturbation derives from interconnections among the model's elements. If the stability of selected disease states derives from nonlinear interactions among cells, tissues, and organs, then some therapies aimed at supporting or normalizing performance of specific organs may be misdirected.

Entities:  

Mesh:

Year:  1996        PMID: 8858016     DOI: 10.1097/00005373-199610000-00002

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  17 in total

Review 1.  Translational systems biology: introduction of an engineering approach to the pathophysiology of the burn patient.

Authors:  Gary An; James Faeder; Yoram Vodovotz
Journal:  J Burn Care Res       Date:  2008 Mar-Apr       Impact factor: 1.845

2.  Modeling autonomic regulation of cardiac function and heart rate variability in human endotoxemia.

Authors:  Jeremy D Scheff; Panteleimon D Mavroudis; Steven E Calvano; Stephen F Lowry; Ioannis P Androulakis
Journal:  Physiol Genomics       Date:  2011-06-14       Impact factor: 3.107

Review 3.  Multimodal monitoring and neurocritical care bioinformatics.

Authors:  J Claude Hemphill; Peter Andrews; Michael De Georgia
Journal:  Nat Rev Neurol       Date:  2011-07-12       Impact factor: 42.937

Review 4.  Data collection and interpretation.

Authors:  Giuseppe Citerio; Soojin Park; J Michael Schmidt; Richard Moberg; Jose I Suarez; Peter D Le Roux
Journal:  Neurocrit Care       Date:  2015-06       Impact factor: 3.210

Review 5.  Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

Authors:  Fawaz Al-Mufti; Michael Kim; Vincent Dodson; Tolga Sursal; Christian Bowers; Chad Cole; Corey Scurlock; Christian Becker; Chirag Gandhi; Stephan A Mayer
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

6.  Multiscale network representation of physiological time series for early prediction of sepsis.

Authors:  Supreeth P Shashikumar; Qiao Li; Gari D Clifford; Shamim Nemati
Journal:  Physiol Meas       Date:  2017-11-30       Impact factor: 2.833

7.  A Chemical Engineer's Perspective on Health and Disease.

Authors:  Ioannis P Androulakis
Journal:  Comput Chem Eng       Date:  2014-12-04       Impact factor: 3.845

8.  Sepsis reconsidered: Identifying novel metrics for behavioral landscape characterization with a high-performance computing implementation of an agent-based model.

Authors:  Chase Cockrell; Gary An
Journal:  J Theor Biol       Date:  2017-07-18       Impact factor: 2.691

9.  Novel representation of physiologic states during critical illness and recovery.

Authors:  Timothy G Buchman
Journal:  Crit Care       Date:  2010-03-04       Impact factor: 9.097

10.  Challenges and rewards on the road to translational systems biology in acute illness: four case reports from interdisciplinary teams.

Authors:  Gary An; C Anthony Hunt; Gilles Clermont; Edmund Neugebauer; Yoram Vodovotz
Journal:  J Crit Care       Date:  2007-06       Impact factor: 3.425

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.