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Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms

OBJECTIVES: During a ‘cannot intubate, cannot oxygenate’ situation, asphyxia can lead to cardiac arrest. In this stressful situation, two complex algorithms facilitate decision-making to save a patient’s life: difficult airway management and cardiopulmonary resuscitation. However, the extent to whic...

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Autores principales: Ott, Thomas, Stracke, Jascha, Sellin, Susanna, Kriege, Marc, Toenges, Gerrit, Lott, Carsten, Kuhn, Sebastian, Engelhard, Kristin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887030/
https://www.ncbi.nlm.nih.gov/pubmed/31767584
http://dx.doi.org/10.1136/bmjopen-2019-030430
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author Ott, Thomas
Stracke, Jascha
Sellin, Susanna
Kriege, Marc
Toenges, Gerrit
Lott, Carsten
Kuhn, Sebastian
Engelhard, Kristin
author_facet Ott, Thomas
Stracke, Jascha
Sellin, Susanna
Kriege, Marc
Toenges, Gerrit
Lott, Carsten
Kuhn, Sebastian
Engelhard, Kristin
author_sort Ott, Thomas
collection PubMed
description OBJECTIVES: During a ‘cannot intubate, cannot oxygenate’ situation, asphyxia can lead to cardiac arrest. In this stressful situation, two complex algorithms facilitate decision-making to save a patient’s life: difficult airway management and cardiopulmonary resuscitation. However, the extent to which competition between the two algorithms causes conflicts in the execution of pivotal treatment remains unknown. Due to the rare incidence of this situation and the very low feasibility of such an evaluation in clinical reality, we decided to perform a randomised crossover simulation research study. We propose that even experienced healthcare providers delay cricothyrotomy, a lifesaving approach, due to concurrent cardiopulmonary resuscitation in a ‘cannot intubate, cannot oxygenate’ situation. DESIGN: Due to the rare incidence and dynamics of such a situation, we conducted a randomised crossover simulation research study. SETTING: We collected data in our institutional simulation centre between November 2016 and November 2017. PARTICIPANTS: We included 40 experienced staff anaesthesiologists at our tertiary university hospital centre. INTERVENTION: The participants treated two simulated patients, both requiring cricothyrotomy: one patient required cardiopulmonary resuscitation due to asphyxia, and one patient did not require cardiopulmonary resuscitation. Cardiopulmonary resuscitation was the intervention. Participants were evaluated by video records. PRIMARY OUTCOME MEASURES: The difference in ‘time to ventilation through cricothyrotomy’ between the two situations was the primary outcome measure. RESULTS: The results of 40 participants were analysed. No carry-over effects were detected in the crossover design. During cardiopulmonary resuscitation, the median time to ventilation was 22 s (IQR 3–40.5) longer than that without cardiopulmonary resuscitation (p=0.028), including the decision-making time. CONCLUSION: Cricothyrotomy, which is the most crucial treatment for cardiac arrest in a ‘cannot intubate, cannot oxygenate’ situation, was delayed by concurrent cardiopulmonary resuscitation. If cardiopulmonary resuscitation delays cricothyrotomy, it should be interrupted to first focus on cricothyrotomy.
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spelling pubmed-68870302019-12-04 Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms Ott, Thomas Stracke, Jascha Sellin, Susanna Kriege, Marc Toenges, Gerrit Lott, Carsten Kuhn, Sebastian Engelhard, Kristin BMJ Open Anaesthesia OBJECTIVES: During a ‘cannot intubate, cannot oxygenate’ situation, asphyxia can lead to cardiac arrest. In this stressful situation, two complex algorithms facilitate decision-making to save a patient’s life: difficult airway management and cardiopulmonary resuscitation. However, the extent to which competition between the two algorithms causes conflicts in the execution of pivotal treatment remains unknown. Due to the rare incidence of this situation and the very low feasibility of such an evaluation in clinical reality, we decided to perform a randomised crossover simulation research study. We propose that even experienced healthcare providers delay cricothyrotomy, a lifesaving approach, due to concurrent cardiopulmonary resuscitation in a ‘cannot intubate, cannot oxygenate’ situation. DESIGN: Due to the rare incidence and dynamics of such a situation, we conducted a randomised crossover simulation research study. SETTING: We collected data in our institutional simulation centre between November 2016 and November 2017. PARTICIPANTS: We included 40 experienced staff anaesthesiologists at our tertiary university hospital centre. INTERVENTION: The participants treated two simulated patients, both requiring cricothyrotomy: one patient required cardiopulmonary resuscitation due to asphyxia, and one patient did not require cardiopulmonary resuscitation. Cardiopulmonary resuscitation was the intervention. Participants were evaluated by video records. PRIMARY OUTCOME MEASURES: The difference in ‘time to ventilation through cricothyrotomy’ between the two situations was the primary outcome measure. RESULTS: The results of 40 participants were analysed. No carry-over effects were detected in the crossover design. During cardiopulmonary resuscitation, the median time to ventilation was 22 s (IQR 3–40.5) longer than that without cardiopulmonary resuscitation (p=0.028), including the decision-making time. CONCLUSION: Cricothyrotomy, which is the most crucial treatment for cardiac arrest in a ‘cannot intubate, cannot oxygenate’ situation, was delayed by concurrent cardiopulmonary resuscitation. If cardiopulmonary resuscitation delays cricothyrotomy, it should be interrupted to first focus on cricothyrotomy. BMJ Publishing Group 2019-11-24 /pmc/articles/PMC6887030/ /pubmed/31767584 http://dx.doi.org/10.1136/bmjopen-2019-030430 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Anaesthesia
Ott, Thomas
Stracke, Jascha
Sellin, Susanna
Kriege, Marc
Toenges, Gerrit
Lott, Carsten
Kuhn, Sebastian
Engelhard, Kristin
Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms
title Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms
title_full Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms
title_fullStr Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms
title_full_unstemmed Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms
title_short Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms
title_sort impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms
topic Anaesthesia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887030/
https://www.ncbi.nlm.nih.gov/pubmed/31767584
http://dx.doi.org/10.1136/bmjopen-2019-030430
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