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Simulation in cardiac surgery: current evidence

  • Joana Berger-Estilita1,2,3,*,†,
  • Ana Beatriz Noronha4,†
  • Katharina Goltz2
  • David Berger5
  • Robert Greif6,7

1Institute for Medical Education, University of Bern, 3012 Bern, Switzerland

2Institute of Anaesthesiology and Intensive Care, Salemspital, Hirslanden Medical Group, 3013 Bern, Switzerland

3CINTESIS-Center for Health Technology and Services Research, Faculty of Medicine, 4200-450 Porto, Portugal

4Department of Anaesthesiology, Perioperative Medicine and General Intensive Care, Landeskrankenhaus, Uniklinikum Salzburg, 5020 Salzburg, Austria

5Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland

6University of Bern, 3012 Bern, Switzerland

7School of Medicine, Sigmund Freud University Vienna, 1020 Vienna, Austria

DOI: 10.22514/sv.2023.034 Vol.19,Issue 6,November 2023 pp.1-8

Submitted: 04 November 2022 Accepted: 13 February 2023

Published: 08 November 2023

*Corresponding Author(s): Joana Berger-Estilita E-mail: joanamberger@gmail.com

† These authors contributed equally.

Abstract

Simulation permeated healthcare curricula and has become a powerful teaching tool to improve manual and cognitive skills in medicine today. Amongst other skill sets, cardiothoracic anaesthetists are expected to make safe life-saving decisions to improve patient outcome during rare critical events. These stressful situations require leadership and problem solving skills from all medical personnel, which traditional learning by “apprenticeship” may not cover. This narrative review looks at current simulation modalities used in cardiothoracic anaesthesia, which include critical scenarios for the placement of arterial and central venous lines, as well as the interpretation of the pulmonary artery catheter derived data. Simulation in transthoracic and transoesophageal echocardiography has proven to be very useful. Of particular importance in cardiothoracic clinical practice is simulation for cardiopulmonary bypass, veno-arterial and veno-venous extracorporeal membrane oxygenation. Trainees’ working hour regulations may affect patient safety, because of decreased exposure to real life patient-related scenarios. The complexity of patient interventions in a high-stakes discipline like cardiothoracic anaesthesia may necessitate the development of further simulation-enhanced educational processes.


Keywords

Simulation; Cardiothoracic anaesthesia; Hemodynamic monitoring; ECMO; Debriefing


Cite and Share

Joana Berger-Estilita,Ana Beatriz Noronha,Katharina Goltz,David Berger,Robert Greif. Simulation in cardiac surgery: current evidence. Signa Vitae. 2023. 19(6);1-8.

References

[1] Pierre MS, Breuer G. Simulation in der Medizin. 1st Edition. Springer: Berlin. 2013.

[2] Gaba DM. The future vision of simulation in health care. Quality and Safety in Health Care. 2004; 13: i2–i10.

[3] Lorello GR, Cook DA, Johnson RL, Brydges R. Simulation-based training in anaesthesiology: a systematic review and meta-analysis. British Journal of Anaesthesia. 2014; 112: 231–245.

[4] Cook DA, Brydges R, Zendejas B, Hamstra SJ, Hatala R. Mastery learning for health professionals using technology-enhanced simulation. Academic Medicine. 2013; 88: 1178–1186.

[5] McGaghie WC, Siddall VJ, Mazmanian PE, Myers J. Lessons for continuing medical education from simulation research in undergraduate and graduate medical education. Chest. 2009; 135: 62S–68S.

[6] Dow AW, Baernholdt M, Santen SA, Baker K, Sessler CN. Practitioner wellbeing as an interprofessional imperative. Journal of Interprofessional Care. 2019; 33: 603–607.

[7] Santen SA, Hemphill RR, McDonald MF, Jo CO. Patients’ willingness to allow residents to learn to practice medical procedures. Academic Medicine. 2004; 79: 144–147.

[8] Aggarwal R. Training in the operating theatre: is it safe? Thorax. 2006; 61: 278–279.

[9] Frank, Snell, Sherbino. CanMEDS 2015 physician competency frame-work. 1st Edition. Royal College of Physicians and Surgeons of Canada: Ottawa. 2015.

[10] Frank JR, Danoff D. The CanMEDS initiative: implementing an outcomes-based framework of physician competencies. Medical Teacher. 2007; 29: 642–647.

[11] Harden RM. Outcome-based education: the future is today. Medical Teacher. 2007; 29: 625–629.

[12] Berger-Estilita JM, Greif R, Berendonk C, Stricker D, Schnabel KP. Simulated patient-based teaching of medical students improves preanaesthetic assessment: a rater-blinded randomised controlled trial. European Journal of Anaesthesiology. 2020; 37: 387–393.

[13] Motola I, Devine LA, Chung HS, Sullivan JE, Issenberg SB. Simulation in healthcare education: a best evidence practical guide. AMEE guide no. 82. Medical Teacher. 2013; 35: e1511–e1530.

[14] Yeung J, Djarv T, Hsieh MJ, Sawyer T, Lockey A, Finn J, et al. Spaced learning versus massed learning in resuscitation—a systematic review. Resuscitation. 2020; 156: 61–71.

[15] Wang EE, Quinones J, Fitch MT, Dooley-Hash S, Griswold-Theodorson S, Medzon R, et al. Developing technical expertise in emergency medicine-the role of simulation in procedural skill acquisition. Academic Emergency Medicine. 2008; 15: 1046–1057.

[16] Hambrick DZ, Macnamara BN, Oswald FL. Is the deliberate practice view defensible? A review of evidence and discussion of issues. Frontiers in Psychology. 2020; 11: 1134.

[17] McGaghie WC, Issenberg SB, Cohen ER, Barsuk JH, Wayne DB. Medical education featuring mastery learning with deliberate practice can lead to better health for individuals and populations. Academic Medicine. 2011; 86: e8–e9.

[18] Cook DA, Hatala R, Brydges R, Zendejas B, Szostek JH, Wang AT, et al. Technology-enhanced simulation for health professions education. JAMA. 2011; 306: 978–988.

[19] Cook DA, Brydges R, Hamstra SJ, Zendejas B, Szostek JH, Wang AT, et al. Comparative effectiveness of technology-enhanced simulation versus other instructional methods. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare. 2012; 7: 308–320.

[20] Rosenberg M. Simulation technology in anesthesiology. Anesthesia Progress. 2021; 68: 238–241.

[21] Álvarez JL, Quevedo OP, López-Manteola SA-G, J. Naya Esteban, J. F. Loro Ferrer, and D. L. Lorenzo Villegas. Revision of training models on ultrasound-guided vascular access: presentation of an animal model. Ultrasound Imaging: Current Topics. (pp. 117). 1st Edition. Intechopen, intechopen.com. 2022.

[22] Soffler MI, Hayes MM, Smith CC. Central venous catheterization training: current perspectives on the role of simulation. Advances in Medical Education and Practice. 2018; 9: 395.

[23] Eason MP. Simulation devices in cardiothoracic and vascular anesthesia. Seminars in Cardiothoracic and Vascular Anesthesia. 2005; 9: 309–323.

[24] Epps C, White ML, Tofil N. Mannequin based simulators. The Comprehensive Textbook of Healthcare Simulation. 2013; 7: 209–232.

[25] Feins R, Burkhart H, Coore D, Conte J, Fann J, Hicks G, et al. Cardiac surgery simulation curriculum: simulation-based training in surgical skills and decision making. Thoracic Surgery Directors Association. Chapel Hill: NC. 2015.

[26] Berger-Estilita J, Abegglen S, Hornburg N, Greif R, Fuchs A. Health-promoting quality of life at work during the COVID-19 pandemic: a 12-month longitudinal study on the work-related sense of coherence in acute care healthcare professionals. International Journal of Environmental Research and Public Health. 2022; 19: 6053.

[27] Cohen ER, Feinglass J, Barsuk JH, Barnard C, O’Donnell A, McGaghie WC, et al. Cost savings from reduced catheter-related bloodstream infection after simulation-based education for residents in a medical intensive care unit. Simulation in Healthcare: the Journal of the Society for Simulation in Healthcare. 2010; 5: 98–102.

[28] Eason M, Goodrow M, Gillespie J. A device to stimulate central venous cannulation in the human patient simulator. Anesthesiology. 2003; 99: 1245–1246.

[29] Eason M, Linville M, Stanton C. A system to simulate arterial blood flow for cannulation in the human patient simulator. Anesthesiology. 2005; 103: 443–443.

[30] Berger-Estilita J, Meco BC. Simulation-based learning: basics for anaesthetists. Turkish Journal of Anaesthesiology & Reanimation. 2021; 49: 194–200.

[31] Liu A, Bhasin Y, Fiorill M, Bowyer M, Haluck R. The design and implementation of a pulmonary artery catheterization simulator. Studies in Health Technology and Informatics. 2006; 119: 334–339.

[32] Singh A, Mehta Y. Role of simulation in hemodynamic monitoring in cardiac surgery. Annals of Cardiac Anaesthesia. 2016; 19: 539–541.

[33] Cumin D, Merry AF. Simulators for use in anaesthesia. Anaesthesia. 2007; 62: 151–162.

[34] Kapoor P, Irpachi K. Simulation in cardiac critical care: new times and new solutions. Annals of Cardiac Anaesthesia. 2016; 19: 385.

[35] Berger-Estilita J, Haenggi M, Ott D, Berger D. Accuracy of the end-expiratory lung volume measured by the modified nitrogen washout/washin technique: a bench study. Journal of Translational Medicine. 2021; 19: 36.

[36] Kapoor P, Magoon R, Sharma A, Ladha S, Hasija S. Simulation-based transthoracic echocardiography: “an anesthesiologist’s perspective”. Annals of Cardiac Anaesthesia. 2016; 19: 511.

[37] Sohmer B, Hudson C, Hudson J, Posner GD, Naik V. Transesophageal echocardiography simulation is an effective tool in teaching psychomotor skills to novice echocardiographers. Canadian Journal of Anesthesia. 2014; 61: 235–241.

[38] Jelacic S, Bowdle A, Togashi K, VonHomeyer P. The use of TEE simu-lation in teaching basic echocardiography skills to senior anesthesiology residents. Journal of Cardiothoracic and Vascular Anesthesia. 2013; 27: 670–675.

[39] Prat G, Charron C, Repesse X, Coriat P, Bailly P, L’her E, et al. The use of computerized echocardiographic simulation improves the learning curve for transesophageal hemodynamic assessment in critically ill patients. Annals of Intensive Care. 2016; 6: 27.

[40] Bloch A, von Arx R, Etter R, Berger D, Kaiser H, Lenz A, et al. Impact of simulator-based training in focused transesophageal echocardiography. Anesthesia & Analgesia. 2017; 125: 1140–1148.

[41] Cowie B. Three years’ experience of focused cardiovascular ultrasound in the peri-operative period. Anaesthesia. 2011; 66: 268–273.

[42] Nagre A. Transthoracic echocardiography—simulator-based training versus training using human models. Annals of Cardiac Anaesthesia. 2021; 24: 503.

[43] Damp J, Anthony R, Davidson MA, Mendes L. Effects of transesophageal echocardiography simulator training on learning and performance in cardiovascular medicine fellows. Journal of the American Society of Echocardiography. 2013; 26: 1450–1456.e2.

[44] Shakil O, Mahmood F, Matyal R. Simulation in echocardiography: an ever-expanding frontier. Journal of Cardiothoracic and Vascular Anesthesia. 2012; 26: 476–485.

[45] Neelankavil J, Howard-Quijano K, Hsieh TC, Ramsingh D, Scovotti JC, Chua JH, et al. Transthoracic echocardiography simulation is an efficient method to train anesthesiologists in basic transthoracic echocardiography skills. Anesthesia & Analgesia. 2012; 115: 1042–1051.

[46] Ferrero NA, Bortsov AV, Arora H, Martinelli SM, Kolarczyk LM, Teeter EC, et al. Simulator training enhances resident performance in transesophageal echocardiography. Anesthesiology. 2014; 120: 149–159.

[47] Vignon P, Pegot B, Dalmay F, Jean-Michel V, Bocher S, L’her E, et al. Acceleration of the learning curve for mastering basic critical care echocardiography using computerized simulation. Intensive Care Medicine. 2018; 44: 1097–1105.

[48] Ender J, Hempel C, Turton E, Hasheminejad E, Bevilacqua C, Hempel G, et al. Impact of simulator-based training on acquisition of transthoracic echocardiography skills in medical students. Annals of Cardiac Anaesthesia. 2020; 23: 293.

[49] Ninomiya S, Tokaji M, Tokumine A, Kurosaki T. Virtual patient simulator for the perfusion resource management drill. Journal of ExtraCorporeal Technology. 2009; 41: 206–212.

[50] Myers B, Obr C. Preparing for cardiopulmonary bypass: a simulation scenario for anesthesia providers. MedEdPORTAL. 2017; 13: 10578.

[51] Kunst G, Milojevic M, Boer C, De Somer FMJJ, Gudbjartsson T, van den Goor J, et al. 2019 EACTS/EACTA/EBCP guidelines on cardiopulmonary bypass in adult cardiac surgery. British Journal of Anaesthesia. 2019; 123: 713–757.

[52] Morris RW, Pybus DA. “Orpheus” cardiopulmonary bypass simulation system. Journal of ExtraCorporeal Technology. 2007; 39: 228–233.

[53] Morais RJ, Ashokka B, Siau C, Kah Ti L. Simulation of cardiopulmonary bypass management: an approach to resident training. Journal of Cardiothoracic and Vascular Anesthesia. 2014; 28: 1387–1392.

[54] Hassan Z, Sloan P. Using a mannequin-based simulator for anesthesia resident training in cardiac anesthesia. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare. 2006; 1: 44–48.

[55] Bruppacher H, Alam S, LeBlanc V, Latter D, Naik V, Savoldelli G, et al. Simulation-based training improves physicians’ performance in patient care in high-stakes clinical setting of cardiac surgery. Anesthesiology. 2010; 112: 985–992.

[56] Merkle F, Kurtovic D, Matschke A, Haupt B, Falk V, Starck C. Simulation-based training of critical events during cardiopulmonary bypass: importance of a critical events checklist. Perfusion. 2021; 36: 239–247.

[57] Fouilloux V, Gsell T, Lebel S, Kreitmann B, Berdah S. Assessment of team training in management of adverse acute events occurring during cardiopulmonary bypass procedure: a pilot study based on an animal simulation model (fouilloux, team training in cardiac surgery). Perfusion. 2014; 29: 44–52.

[58] Burkhart HM, Riley JB, Hendrickson SE, Glenn GF, Lynch JJ, Arnold JJ, et al. The successful application of simulation-based training in thoracic surgery residency. The Journal of Thoracic and Cardiovascular Surgery. 2010; 139: 707–712.

[59] Abrams D, Combes A, Brodie D. Extracorporeal membrane oxygenation in cardiopulmonary disease in adults. Journal of the American College of Cardiology. 2014; 63: 2769–2778.

[60] Golicnik A, Berden J, Goslar T, Gorjup V. High fidelity ECMO simulation: a reality check with reality—use of simulation in ECMO teaching program. Journal of Artificial Organs. 2023; 26: 36–44.

[61] Sin SWC, Ng PY, Ngai WCW, Lai PCK, Mok AYT, Chan RWK. Simulation training for crises during venoarterial extracorporeal membrane oxygenation. Journal of Thoracic Disease. 2019; 11: 2144–2152.

[62] Weems MF, Friedlich PS, Nelson LP, Rake AJ, Klee L, Stein JE, et al. The role of extracorporeal membrane oxygenation simulation training at extracorporeal life support organization centers in the United States. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare. 2017; 12: 233–239.

[63] Muratore S, Beilman G, John R, Brunsvold M. Extracorporeal membrane oxygenation credentialing: where do we stand? The American Journal of Surgery. 2015; 210: 655–660.e2.

[64] ELSO Guidelines for Training and Continuing Education of ECMO Specialists. 2010. Available at: http://www.elso.org/portals/0/igd/archive/filemanager/97000963d6-cusersshyerdocumentselsoguidelinesfortrainingandcon-tinuingeducationofecmospecialists.pdf (Accessed: 22 July 2022).

[65] Zangrillo A, Landoni G, Biondi-Zoccai G, Greco M, Greco T, Frati G, et al. A meta-analysis of complications and mortality of extracorporeal membrane oxygenation. Critical Care Resuscitation. 2013; 15: 172–178.

[66] Brum R, Rajani R, Gelandt E, Morgan L, Raguseelan N, Butt S, et al. Simulation training for extracorporeal membrane oxygenation. Annals of Cardiac Anaesthesia. 2015; 18: 185.

[67] Burkhart HM, Riley JB, Lynch JJ, Suri RM, Greason KL, Joyce LD, et al. Simulation-based postcardiotomy extracorporeal membrane oxygenation crisis training for thoracic surgery residents. The Annals of Thoracic Surgery. 2013; 95: 901–906.

[68] Anderson JM, Murphy AA, Boyle KB, Yaeger KA, Halamek LP. Simulating extracorporeal membrane oxygenation emergencies to improve human performance. Part II: assessment of technical and behavioral skills. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare. 2006; 1: 228–232.

[69] Zakhary BM, Kam LM, Kaufman BS, Felner KJ. The utility of high-fidelity simulation for training critical care fellows in the management of extracorporeal membrane oxygenation emergencies. Critical Care Medicine. 2017; 45: 1367–1373.

[70] Greif R, Lockey A, Breckwoldt J, Carmona F, Conaghan P, Kuzovlev A, et al. European resuscitation council guidelines 2021: education for resuscitation. Resuscitation. 2021; 161: 388–407.

[71] Dieckmann P, Molin Friis S, Lippert A, Østergaard D. The art and science of debriefing in simulation: ideal and practice. Medical Teacher. 2009; 31: e287–e294.

[72] Salas E, Klein C, King H, Salisbury M, Augenstein JS, Birnbach DJ, et al. Debriefing medical teams: 12 evidence-based best practices and tips. The Joint Commission Journal on Quality and Patient Safety. 2008; 34: 518–527.

[73] Fanning RM, Gaba DM. The role of debriefing in simulation-based learning. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare. 2007; 2: 115–125.

[74] Levett-Jones T, Lapkin S. The effectiveness of debriefing in simulation-based learning for health professionals: a systematic review. JBI Library Systematic Reviews. 2012; 10: 3295–3337.

[75] Berger-Estilita J, Luthi V, Greif R, Abegglen S. Communication content during debriefing in simulation-based medical education: an analytic framework and mixed-methods analysis. Medical Teacher. 2021; 43: 1381–1390.


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