A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation
Joint Authors
Berg, Robert A.
Simpao, Allan F.
Gálvez, Jorge A.
Nadkarni, Vinay M.
Jalali, A.
Nataraj, C.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-29
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Introduction.
The quality of cardiopulmonary resuscitation (CPR) has been shown to impact patient outcomes.
However, post-CPR morbidity and mortality remain high, and CPR optimization is an area of active research.
One approach to optimizing CPR involves establishing reliable CPR performance measures and then modifying CPR parameters, such as compressions and ventilator breaths, to enhance these measures.
We aimed to define a reliable CPR performance measure, optimize the CPR performance based on the defined measure and design a dynamically optimized scheme that varies CPR parameters to optimize CPR performance.
Materials and Methods.
We selected total blood gas delivery (systemic oxygen delivery and carbon dioxide delivery to the lungs) as an objective function for maximization.
CPR parameters were divided into three categories: rescuer dependent, patient dependent, and constant parameters.
Two optimization schemes were developed using simulated annealing method: a global optimization scheme and a sequential optimization scheme.
Results and Discussion.
Variations of CPR parameters over CPR sequences (cycles) were analyzed.
Across all patient groups, the sequential optimization scheme resulted in significant enhancement in the effectiveness of the CPR procedure when compared to the global optimization scheme.
Conclusions.
Our study illustrates the potential benefit of considering dynamic changes in rescuer-dependent parameters during CPR in order to improve performance.
The advantage of the sequential optimization technique stemmed from its dynamically adapting effect.
Our CPR optimization findings suggest that as CPR progresses, the compression to ventilation ratio should decrease, and the sequential optimization technique can potentially improve CPR performance.
Validation in vivo is needed before implementing these changes in actual practice.
American Psychological Association (APA)
Jalali, A.& Simpao, Allan F.& Gálvez, Jorge A.& Berg, Robert A.& Nadkarni, Vinay M.& Nataraj, C.. 2018. A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1131935
Modern Language Association (MLA)
Jalali, A.…[et al.]. A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1131935
American Medical Association (AMA)
Jalali, A.& Simpao, Allan F.& Gálvez, Jorge A.& Berg, Robert A.& Nadkarni, Vinay M.& Nataraj, C.. A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1131935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131935