全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Simulations for Mechanical Ventilation in Children: Review and Future Prospects

DOI: 10.1155/2013/943281

Full-Text   Cite this paper   Add to My Lib

Abstract:

Mechanical ventilation is a very effective therapy, but with many complications. Simulators are used in many fields, including medicine, to enhance safety issues. In the intensive care unit, they are used for teaching cardiorespiratory physiology and ventilation, for testing ventilator performance, for forecasting the effect of ventilatory support, and to determine optimal ventilatory management. They are also used in research and development of clinical decision support systems (CDSSs) and explicit computerized protocols in closed loop. For all those reasons, cardiorespiratory simulators are one of the tools that help to decrease mechanical ventilation duration and complications. This paper describes the different types of simulators described in the literature for physiologic simulation and modeling of the respiratory system, including a new simulator (SimulResp), and proposes a validation process for these simulators. 1. Introduction Mechanical ventilation is a lifesaving therapy which is associated with complications such as baro-, volo-, and biotrauma, ventilation-induced pneumonia and laryngeal stenosis [1–3]. These complications can be decreased through the use of a protective ventilation strategy for acute lung injury [4] and the use of protocols to reduce the duration of weaning [5]. These protocols include a set of patient-specific therapy instructions that change according to the patient’s cardiorespiratory condition. Because it is difficult to test each modification/improvement that is made to the protocol on real patients, there is an increasing interest in the development of physiologic models that simulate cardiorespiratory responses to modifications of mechanical ventilation settings. We reviewed the literature and report our experience on physiologic simulation and modeling of the respiratory system. 2. Simulators of Mechanical Ventilation in the Literature Simulation is a strategy to replace or amplify real experiences with another experience that evokes certain aspects of the real world in constant interaction with the user [6]. Three categories of simulation have been described: simulation of patient signs and symptoms, anatomic simulation of the lung, and physiologic simulation. For each of these categories, there are several types of simulators with different goals, each of them with their advantages and disadvantages. Currently, the different types of simulators are as follows: (1) simulators to assess ventilator performance; (2) simulators used to teach physiology and ventilation management; (3) simulators for ventilation

References

[1]  T. Principi, D. D. Fraser, G. C. Morrison et al., “Complications of mechanical ventilation in the pediatric population,” Pediatric Pulmonology, vol. 46, no. 5, pp. 452–457, 2011.
[2]  G. M. Mutlu and P. Factor, “Complications of mechanical ventilation,” Respiratory Care Clinics of North America, vol. 6, no. 2, pp. 213–252, 2000.
[3]  R. Rivera and J. Tibballs, “Complications of endotracheal intubation and mechanical ventilation in infants and children,” Critical Care Medicine, vol. 20, no. 2, pp. 193–199, 1992.
[4]  J.-C. M. Richard, J.-C. Lefebvre, D. Tassaux, and L. Brochard, “Update in mechanical ventilation 2010,” American Journal of Respiratory and Critical Care Medicine, vol. 184, no. 1, pp. 32–36, 2011.
[5]  M. H. Kollef, S. D. Shapiro, P. Silver et al., “A randomized, controlled trial of protocol-directed versus physician- directed weaning from mechanical ventilation,” Critical Care Medicine, vol. 25, no. 4, pp. 567–574, 1997.
[6]  D. M. Gaba, “The future vision of simulation in health care,” Quality and Safety in Health Care, vol. 13, no. 1, pp. i2–i10, 2004.
[7]  N. R. MacIntyre, “Respiratory system simulations and modeling,” Respiratory Care, vol. 49, no. 4, pp. 401–408, 2004.
[8]  P. Jouvet, P. Hubert, P. H. Jarreau, F. Lofaso, M. Cloup, and A. Harf, “Assessment of neonatal ventilator performances,” Intensive Care Medicine, vol. 21, no. 9, pp. 753–758, 1995.
[9]  G. Simbruner and G. A. Gregory, “Performance of neonatal ventilators: the effects of changes in resistance and compliance,” Critical Care Medicine, vol. 9, no. 7, pp. 509–514, 1981.
[10]  J. C. Richard, A. Carlucci, L. Breton et al., “Bench testing of pressure support ventilation with three different generations of ventilators,” Intensive Care Medicine, vol. 28, no. 8, pp. 1049–1057, 2002.
[11]  A. D. Marchese, D. Chipman, P. De La Oliva, and R. M. Kacmarek, “Adult ICU ventilators to provide neonatal ventilation: a lung simulator study,” Intensive Care Medicine, vol. 35, no. 4, pp. 631–638, 2009.
[12]  M. Fontana, A. Payot, S. Morneau, and P. Jouvet, “Comment on ‘adult ICU ventilators to provide neonatal ventilation: a lung simulator study’,” Intensive Care Medicine, vol. 35, no. 6, pp. 1140–1141, 2009.
[13]  C. E. Cox, S. S. Carson, E. W. Ely et al., “Effectiveness of medical resident education in mechanical ventilation,” American Journal of Respiratory and Critical Care Medicine, vol. 167, no. 1, pp. 32–38, 2003.
[14]  S. J. Corbridge, F. P. Robinson, J. Tiffen, and T. C. Corbridge, “Online learning versus simulation for teaching principles of mechanical ventilation to nurse practitioner students,” International Journal of Nursing Education Scholarship, vol. 7, no. 1, p. 12, 2010.
[15]  R. Keegan, T. Henderson, and G. Brown, “Use of the virtual ventilator, a screen-based computer simulation, to teach the principles of mechanical ventilation,” Journal of Veterinary Medical Education, vol. 36, no. 4, pp. 436–443, 2009.
[16]  P. Jouvet, F. Leclerc, P. Rimensberger, S. Morneau, G. Hatzakis, M. Tucci, et al., “Assistance respiratoire,” in Urgences et Soins Intensifs Pediatriques, C. S. J. E. Masson, J. Lacroix, M. Gauthier, P. Hubert, F. Leclerc, and P. Gaudreault, Eds., pp. 35–62, 2nd edition, 2007.
[17]  A. Takeuchi, T. Abe, M. Hirose, K. Kamioka, A. Hamada, and N. Ikeda, “Interactive simulation system for artificial ventilation on the internet: virtual ventilator,” Journal of Clinical Monitoring and Computing, vol. 18, no. 5-6, pp. 353–363, 2004.
[18]  C. Dickinson, A Computer Model of Human RespiratIon: VentilatIon-Blood Gas Transport and Exchange Hydrogen Ion regulatIon, University Park Press, Baltimore, Md, USA, 1977.
[19]  T. G. Coleman and J. E. Randall, “Human: a comprehensive physiological model,” Physiologist, vol. 26, no. 1, pp. 15–21, 1983.
[20]  G. W. Rutledge, “VentSim: a simulation model of cardiopulmonary physiology,” Proceedings of the Annual Symposium on Computer Applications in Medical Care, pp. 878–883, 1994.
[21]  A. Wang, M. Mahfouf, G. H. Mills et al., “Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: advisory system design and evaluation,” Computer Methods and Programs in Biomedicine, vol. 99, no. 2, pp. 208–217, 2010.
[22]  T. Winkler, A. Krause, and S. Kaiser, “Simulation of mechanical respiration using a multicompartment model for ventilation mechanics and gas exchange,” International Journal of Clinical Monitoring and Computing, vol. 12, no. 4, pp. 231–239, 1995.
[23]  K. S. Kapitan, “Teaching pulmonary gas exchange physiology using computer modeling,” American Journal of Physiology, vol. 32, no. 1, pp. 61–64, 2008.
[24]  A. Das, Z. Gao, P. P. Menon, J. G. Hardman, and D. G. Bates, “A systems engineering approach to validation of a pulmonary physiology simulator for clinical applications,” Journal of the Royal Society Interface, vol. 8, no. 54, pp. 44–55, 2011.
[25]  J. G. Hardman, N. M. Bedforth, A. B. Ahmed, R. P. Mahajan, and A. R. Aitkenhead, “A physiology simulator: validation of its respiratory components and its ability to predict the patient's response to changes in mechanical ventilation,” British Journal of Anaesthesia, vol. 81, no. 3, pp. 327–332, 1998.
[26]  A. Reynolds, G. Bard Ermentrout, and G. Clermont, “A mathematical model of pulmonary gas exchange under inflammatory stress,” Journal of Theoretical Biology, vol. 264, no. 2, pp. 161–173, 2010.
[27]  R. S. Wax, L. Kenny, and P. Burns, “Educating providers of mechanical ventilation: an update,” Current Opinion in Critical Care, vol. 12, no. 1, pp. 61–66, 2006.
[28]  J. M. Anderson and J. B. Warren, “Using simulation to enhance the acquisition and retention of clinical skills in neonatology,” Seminars in Perinatology, vol. 35, no. 2, pp. 59–67, 2011.
[29]  S. E. Rees, C. Aller?d, D. Murley et al., “Using physiological models and decision theory for selecting appropriate ventilator settings,” Journal of Clinical Monitoring and Computing, vol. 20, no. 6, pp. 421–429, 2006.
[30]  D. S. Karbing, C. Allerod, L. P. Thomsen, K. Espersen, P. Thorgaard, S. Andreassen, et al., “Retrospective evaluation of a decision support system for controlled mechanical ventilation,” Medical and Biomedical Engeneering and Computing, vol. 50, no. 1, pp. 43–51, 2012.
[31]  M. Ursino, M. Iezzi, and N. Stocchetti, “Intracranial pressure dynamics in patients with acute brain damage: a critical analysis with the aid of a mathematical model,” IEEE Transactions on Biomedical Engineering, vol. 42, no. 6, pp. 529–540, 1995.
[32]  J. G. Hardman and J. S. Wills, “The development of hypoxaemia during apnoea in children: a computational modelling investigation,” British Journal of Anaesthesia, vol. 97, no. 4, pp. 564–570, 2006.
[33]  P. Jouvet, P. Hernert, and M. Wysocki, “Development and implementation of explicit computerized protocols for mechanical ventilation in children,” Annals of Intensive Care, vol. 1, p. 51, 2011.
[34]  R. M. Sailors, T. D. East, C. J. Wallace et al., “Testing and validation of computerized decision support systems,” in Proceedings of the AMIA Annual Symposium, pp. 234–238, 1996.
[35]  D. S. Karbing, S. Kj?rgaard, S. Andreassen, K. Espersen, and S. E. Rees, “Minimal model quantification of pulmonary gas exchange in intensive care patients,” Medical Engineering and Physics, vol. 33, no. 2, pp. 240–248, 2011.
[36]  O. Fléchelles, P. Hernert, F. Cheriet, N. Zaglam, G. Emeriaud, and P. Jouvet, “Validation of a cardiorespiratory simulator: SimulResp,” Archives of Disease in Childhood, 2013.
[37]  R. L. Chatburn and E. Mireles-Cabodevila, Handbook of Respiratory Care, Jones & Bartlett Learning, Sudbury, Mass, USA, 3rd edition, 2011.
[38]  A. D. Cherry, I. F. Forkner, H. J. Frederick et al., “Predictors of increased Paco2 during immersed prone exercise at 4.7 ATA,” Journal of Applied Physiology, vol. 106, no. 1, pp. 316–325, 2009.
[39]  V. Payen, P. Jouvet, J. Lacroix, T. Ducruet, and F. Gauvin, “Risk factors associated with increased length of mechanical ventilation in children,” Pediatric Critical Care Medicine, vol. 13, no. 2, pp. 152–157, 2012.

Full-Text

Contact Us

[email protected]

QQ:3279437679

WhatsApp +8615387084133