BACKGROUND: A 3-day cardiac surgery advanced life support course was designed with a series of protocols to manage critically ill cardiac surgical patients and patients who suffer a cardiac arrest. We sought to determine the effect of this course on the management of simulated critically ill and cardiac arrest patients. METHODS: Twenty-four candidates participated in the course. Critically ill patients were simulated using intubated mannikins, with lines and drains in situ, and a laptop with an intensive care unit monitor simulation program. Candidates were tested before and after the course with rigidly predesigned clinical situations. Candidates were split into groups of 6, and cardiac arrests were simulated in the same fashion, with all required surgical equipment immediately available. All scenarios were videotaped, and after blinding, an independent surgeon assessed the times to achieve predetermined clinical endpoints. RESULTS: The time to successful definitive treatment was significantly faster postcourse for the critically ill patient scenarios: (565 secs [SD 27 secs] precourse, compared with 303 secs [SD 24 secs] postcourse; p < 0.0005). In addition, the times taken to achieve a wide range of predetermined objectives, including airway check, assessing breathing, circulation assessment, treating with oxygen, appropriate treatment of the circulation, and requesting blood gases, chest radiographs, and electrocardiograms, were also significantly faster in the postcourse scenarios. Times to successful chest reopening and internal cardiac massage were also significantly improved in cardiac arrest patients: (451 secs [SD 39 secs] precourse and 228 secs [SD 17 secs] postcourse; p = 0.011). CONCLUSIONS: Structured training and practice in the management of critically ill cardiac surgical patients and patients suffering a cardiac arrest leads to significant improvements in the speed and quality of care for these patients.
BACKGROUND: A 3-day cardiac surgery advanced life support course was designed with a series of protocols to manage critically ill cardiac surgical patients and patients who suffer a cardiac arrest. We sought to determine the effect of this course on the management of simulated critically ill and cardiac arrestpatients. METHODS: Twenty-four candidates participated in the course. Critically illpatients were simulated using intubated mannikins, with lines and drains in situ, and a laptop with an intensive care unit monitor simulation program. Candidates were tested before and after the course with rigidly predesigned clinical situations. Candidates were split into groups of 6, and cardiac arrests were simulated in the same fashion, with all required surgical equipment immediately available. All scenarios were videotaped, and after blinding, an independent surgeon assessed the times to achieve predetermined clinical endpoints. RESULTS: The time to successful definitive treatment was significantly faster postcourse for the critically illpatient scenarios: (565 secs [SD 27 secs] precourse, compared with 303 secs [SD 24 secs] postcourse; p < 0.0005). In addition, the times taken to achieve a wide range of predetermined objectives, including airway check, assessing breathing, circulation assessment, treating with oxygen, appropriate treatment of the circulation, and requesting blood gases, chest radiographs, and electrocardiograms, were also significantly faster in the postcourse scenarios. Times to successful chest reopening and internal cardiac massage were also significantly improved in cardiac arrestpatients: (451 secs [SD 39 secs] precourse and 228 secs [SD 17 secs] postcourse; p = 0.011). CONCLUSIONS: Structured training and practice in the management of critically ill cardiac surgical patients and patients suffering a cardiac arrest leads to significant improvements in the speed and quality of care for these patients.
Authors: Rakesh C Arora; Erika Lee; David E Kent; Mina Asif; Yoan Lamarche; Ansar Hassan; Jean Francois Legare; Brett Hiebert Journal: CJC Open Date: 2021-07-14
Authors: Amir H Sadeghi; Jette J Peek; Samuel A Max; Liselot L Smit; Bryan G Martina; Rodney A Rosalia; Wouter Bakhuis; Ad Jjc Bogers; Edris Af Mahtab Journal: JMIR Serious Games Date: 2022-03-02 Impact factor: 4.143
Authors: Carsten Lott; Anatolij Truhlář; Anette Alfonzo; Alessandro Barelli; Violeta González-Salvado; Jochen Hinkelbein; Jerry P Nolan; Peter Paal; Gavin D Perkins; Karl-Christian Thies; Joyce Yeung; David A Zideman; Jasmeet Soar Journal: Notf Rett Med Date: 2021-06-10 Impact factor: 0.826