Literature DB >> 16723728

Optimal strategy for cardiopulmonary resuscitation with continuous chest compression.

Eunok Jung1, Charles F Babbs, Suzanne Lenhart, Vladimir A Protopopescu.   

Abstract

OBJECTIVES: To apply the mathematical techniques of optimal control theory (OCT) to a validated model of the human circulation during cardiopulmonary resuscitation (CPR), so as to discover improved waveforms for chest compression and decompression that maximize the coronary perfusion pressure (CPP).
METHODS: The human circulatory system is represented by seven difference equations that describe the pressure changes in systemic vascular compartments that are caused by chest compression. The forcing term is the intrathoracic pressure that is generated by the external chest compression, which is taken as the control variable for the system. The optimum waveform of this forcing pressure as a function of time, determined from OCT, is that which maximizes the calculated CPP between the thoracic aorta and the superior vena cava over a period of 13.3 seconds of continuous chest compression.
RESULTS: The optimal waveform included both compression and decompression of the chest to the maximum allowable extent. Compression-decompression waveforms were rectangular in shape. The frequency of optimal compression-decompression that was found by OCT was 90 per minute. The optimal duty cycle (compression duration per cycle time) was 40%. The CPP for the optimum control waveform was 36 mm Hg vs. 25 mm Hg for standard CPR.
CONCLUSIONS: Optimal control theory suggests that both compression and decompression of the chest are needed for best hemodynamics during CPR.

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Mesh:

Year:  2006        PMID: 16723728     DOI: 10.1197/j.aem.2006.03.550

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  4 in total

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Authors:  Aurelio A de Los Reyes V; Eunok Jung; Yangjin Kim
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

2.  Optimal chest compression in cardiopulmonary resuscitation depends upon thoracic and back support stiffness.

Authors:  Kiran H Dellimore; Cornie Scheffer
Journal:  Med Biol Eng Comput       Date:  2012-10-09       Impact factor: 2.602

3.  Strategies in regulating glioblastoma signaling pathways and anti-invasion therapy.

Authors:  Eunok Jung; Aurelio A de Los Reyes V; Kurt Jan A Pumares; Yangjin Kim
Journal:  PLoS One       Date:  2019-04-22       Impact factor: 3.240

4.  A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation.

Authors:  Ali Jalali; Allan F Simpao; Jorge A Gálvez; Robert A Berg; Vinay M Nadkarni; Chandrasekhar Nataraj
Journal:  Comput Math Methods Med       Date:  2018-11-29       Impact factor: 2.238

  4 in total

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