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Computational simulation of passive leg-raising effects on hemodynamics during cardiopulmonary resuscitation.

作者信息

Shin Dong Ah, Park Jiheum, Lee Jung Chan, Shin Sang Do, Kim Hee Chan

机构信息

Interdisciplinary Program for Bioengineering, Seoul National University Graduate School, Seoul 08826, Republic of Korea.

Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Biomedical Engineering, Seoul National University Hospital, Seoul 03080, Republic of Korea; Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.

出版信息

Comput Methods Programs Biomed. 2017 Mar;140:195-200. doi: 10.1016/j.cmpb.2016.12.011. Epub 2016 Dec 23.

DOI:10.1016/j.cmpb.2016.12.011
PMID:28254076
Abstract

BACKGROUND AND OBJECTIVE

The passive leg-raising (PLR) maneuver has been used for patients with circulatory failure to improve hemodynamic responsiveness by increasing cardiac output, which should also be beneficial and may exert synergetic effects during cardiopulmonary resuscitation (CPR). However, the impact of the PLR maneuver on CPR remains unclear due to difficulties in monitoring cardiac output in real-time during CPR and a lack of clinical evidence.

METHODS

We developed a computational model that couples hemodynamic behavior during standard CPR and the PLR maneuver, and simulated the model by applying different angles of leg raising from 0° to 90° and compression rates from 80/min to 160/min.

RESULTS

The simulation results showed that the PLR maneuver during CPR significantly improves cardiac output (CO), systemic perfusion pressure (SPP) and coronary perfusion pressure (CPP) by ∼40-65% particularly under the recommended range of compression rates between 100/min and 120/min with 45° of leg raise, compared to standard CPR. However, such effects start to wane with further leg lifts, indicating the existence of an optimal angle of leg raise for each person to achieve the best hemodynamic responses.

CONCLUSIONS

We developed a CPR-PLR model and demonstrated the effects of PLR on hemodynamics by investigating changes in CO, SPP, and CPP under different compression rates and angles of leg raising. Our computational model will facilitate study of PLR effects during CPR and the development of an advanced model combined with circulatory disorders, which will be a valuable asset for further studies.

摘要

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