Literature DB >> 23361135

Prediction of heart rate response to conclusion of the spontaneous breathing trial by fluctuation dissipation theory.

Man Chen1, Liang Ren Niestemski, Robert Prevost, Michael McRae, Sharath Cholleti, Gabriel Najarro, Timothy G Buchman, Michael W Deem.   

Abstract

The non-equilibrium fluctuation dissipation theorem is applied to predict how critically ill patients respond to treatment, based upon data currently collected by standard hospital monitoring devices. This framework is demonstrated on a common procedure in critical care: the spontaneous breathing trial. It is shown that the responses of groups of similar patients to the spontaneous breathing trial can be predicted by the non-equilibrium fluctuation dissipation approach. This mathematical framework, when fully formed and applied to other clinical interventions, may serve as part of the basis for personalized critical care.

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Year:  2013        PMID: 23361135      PMCID: PMC3635490          DOI: 10.1088/1478-3975/10/1/016006

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  6 in total

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Authors:  A Esteban; A Anzueto; I Alía; F Gordo; C Apezteguía; F Pálizas; D Cide; R Goldwaser; L Soto; G Bugedo; C Rodrigo; J Pimentel; G Raimondi; M J Tobin
Journal:  Am J Respir Crit Care Med       Date:  2000-05       Impact factor: 21.405

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Authors:  J Prost; J-F Joanny; J M R Parrondo
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4.  Transmission of information between complex systems: 1/f resonance.

Authors:  Gerardo Aquino; Mauro Bologna; Bruce J West; Paolo Grigolini
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-05-31

5.  Predicting clinical physiology: a Markov chain model of heart rate recovery after spontaneous breathing trials in mechanically ventilated patients.

Authors:  Yan Lu; Anton Burykin; Michael W Deem; Timothy G Buchman
Journal:  J Crit Care       Date:  2009-09       Impact factor: 3.425

6.  Bridging the gap between systems biology and medicine.

Authors:  Gilles Clermont; Charles Auffray; Yves Moreau; David M Rocke; Daniel Dalevi; Devdatt Dubhashi; Dana R Marshall; Peter Raasch; Frank Dehne; Paolo Provero; Jesper Tegner; Bruce J Aronow; Michael A Langston; Mikael Benson
Journal:  Genome Med       Date:  2009-09-29       Impact factor: 11.117

  6 in total

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