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

Ali Jalali Allan F SimpaoJorge A GálvezRobert A BergVinay M NadkarniChandrasekhar Nataraj

Published in: Computational and mathematical methods in medicine (2018)

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.

Keyphrases

cardiopulmonary resuscitation
cardiac arrest
healthcare
quality improvement
risk assessment
climate change
carbon dioxide