- Meeting abstract
- Open Access
An alternative resuscitation algorithm significantly reduces hands-of time during CPR: a full-scale simulation study
© Pedersen et al; licensee BioMed Central Ltd. 2013
- Published: 9 September 2013
- Public Health
- Standard Deviation
- Simulation Study
- Emergency Medicine
- Cardiac Arrest
A reduction in hands-off time during resuscitation leads to increased survival. We have previously shown that hands-off time can be reduced using our alternative cardio-pulmonary resuscitation (CPR) algorithm SOWS (Stop Only While Shocking), but only in small and limited simulations. We designed the present study to compare SOWS to the current European Resuscitation Council (ERC) 2010 guidelines in full-scale simulations. The aim was to decrease hands-off time.
Using a randomized design, we compared SOWS to the 2010 ERC guidelines using predefined scenarios. In our algorithm, the defibrillator was charged while CPR was ongoing and compressions only interrupted for rhythm check. If a shock was required, it was delivered immediately and compressions resumed. A Laerdal Resusci® Anne and Lifepak 20 defibrillator were used. Hands-off time in percent of the entire cardiac arrest and compressions per minute were registered. Data will be presented as mean (standard deviation [SD]). Differences were tested using unpaired students t-test.
Thirty physicians participated (they had participated in 12-21 cardiac arrests and nine had completed an ALS course). We performed 11 full-scale simulations, six using 2010 ERC guidelines and five using SOWS. Mean hands-off time using ERC guidelines was 26.7 % (SD 4.3%) and 22.1 % (SD 2.3%) using SOWS, p = 0.02. Using ERC 2010 guidelines resulted in mean 83.8 (SD 13.7) compressions per minute and 95.0 (SD 2.4) compressions per minute with SOWS, p = 0.18.
Using full-scale simulations, we demonstrated a significantly lower hands-off time when comparing SOWS to the 2010 ERC guidelines. Furthermore, an increase in compressions per minute where registered with our alternative algorithm, but this was not significant.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.