Optimum Compression to Ventilation Ratios in Cardiopulmonary Resuscitation: A Simulation Study
DOI:
10.3993/jfbi03201514
Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 143-150.
Published online: 2015-08
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@Article{JFBI-8-143,
author = {Junqing Luo, Huangcun Zeng and Xiaoming Wu},
title = {Optimum Compression to Ventilation Ratios in Cardiopulmonary Resuscitation: A Simulation Study},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2015},
volume = {8},
number = {1},
pages = {143--150},
abstract = {Goal: The purpose of this paper is to investigate optimum compression to ventilation ratios in
Cardiopulmonary Resuscitation (CPR). Methods: Mathematical modeling approach is used. Equations
describing oxygen, carbon dioxide exchange and blood flow as functions of the compression to ventilation
ratio during CPR are developed. The model is validated against normal physiology and animal studies of
CPR. Then the model equations are solved to find the optimum compression to ventilation ratios for both
professional and lay rescuers. As rescuer performance might vary greatly, Monte Carlo simulations with
parameters of rescuer performance randomly chosen are performed to examine whether the optimum
compression to ventilation ratios achieved above fit most cases. Results: Results show that the optimum
compression to ventilation ratio is around 50:2 for professional rescuers, and is round 70:2 for lay rescuers.
Conclusion: The 30:2 compression to ventilation ratio, which is specified in International Guideline,
might not be optimum for professional rescuers, might be even worse for lay rescuers. It suggests the
50:2 and 70:2 compression to ventilation ratios might be optimum for professional and lay rescuers
respectively. Significance: The 50:2 and 70:2 compression to ventilation ratios might maximize optimum
oxygen delivery to body tissue during CPR, and thus lead to better survival rates.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi03201514},
url = {http://global-sci.org/intro/article_detail/jfbi/4694.html}
}
TY - JOUR
T1 - Optimum Compression to Ventilation Ratios in Cardiopulmonary Resuscitation: A Simulation Study
AU - Junqing Luo, Huangcun Zeng & Xiaoming Wu
JO - Journal of Fiber Bioengineering and Informatics
VL - 1
SP - 143
EP - 150
PY - 2015
DA - 2015/08
SN - 8
DO - http://doi.org/10.3993/jfbi03201514
UR - https://global-sci.org/intro/article_detail/jfbi/4694.html
KW - Optimum Compression to Ventilation Ratios
KW - Cardiopulmonary Resuscitation
KW - Monte Carlo Simulations
KW - Mathematical Modeling
AB - Goal: The purpose of this paper is to investigate optimum compression to ventilation ratios in
Cardiopulmonary Resuscitation (CPR). Methods: Mathematical modeling approach is used. Equations
describing oxygen, carbon dioxide exchange and blood flow as functions of the compression to ventilation
ratio during CPR are developed. The model is validated against normal physiology and animal studies of
CPR. Then the model equations are solved to find the optimum compression to ventilation ratios for both
professional and lay rescuers. As rescuer performance might vary greatly, Monte Carlo simulations with
parameters of rescuer performance randomly chosen are performed to examine whether the optimum
compression to ventilation ratios achieved above fit most cases. Results: Results show that the optimum
compression to ventilation ratio is around 50:2 for professional rescuers, and is round 70:2 for lay rescuers.
Conclusion: The 30:2 compression to ventilation ratio, which is specified in International Guideline,
might not be optimum for professional rescuers, might be even worse for lay rescuers. It suggests the
50:2 and 70:2 compression to ventilation ratios might be optimum for professional and lay rescuers
respectively. Significance: The 50:2 and 70:2 compression to ventilation ratios might maximize optimum
oxygen delivery to body tissue during CPR, and thus lead to better survival rates.
Junqing Luo, Huangcun Zeng and Xiaoming Wu. (2015). Optimum Compression to Ventilation Ratios in Cardiopulmonary Resuscitation: A Simulation Study.
Journal of Fiber Bioengineering and Informatics. 8 (1).
143-150.
doi:10.3993/jfbi03201514
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