Optimal management of the critically Ill: Anaesthesia, monitoring, data capture, and point-of-care technological practices in ovine models of critical care

Chemonges, Saul, Shekar, Kiran, Tung, John-Paul, Dunster, Kimble, Diab, Sara, Platts, David, Watts, Ryan, Gregory, Shaun, Foley, Samuel, Simonova, Gabriela, McDonald, Charles, Hayes, Rylan Anthony, Bellpart, Judith, Timms, Daniel, Chew, Michelle, Fung, Yoke, Toon, Michael, Maybauer, Marc, & Fraser, John (2014) Optimal management of the critically Ill: Anaesthesia, monitoring, data capture, and point-of-care technological practices in ovine models of critical care. BioMed Research International, 2014, Article ID 468309.

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Abstract

Animal models of critical illness are vital in biomedical research. They provide possibilities for the investigation of pathophysiological processes that may not otherwise be possible in humans. In order to be clinically applicable, the model should simulate the critical care situation realistically, including anaesthesia, monitoring, sampling, utilising appropriate personnel skill mix, and therapeutic interventions. There are limited data documenting the constitution of ideal technologically advanced large animal critical care practices and all the processes of the animal model. In this paper, we describe the procedure of animal preparation, anaesthesia induction and maintenance, physiologic monitoring, data capture, point-of-care technology, and animal aftercare that has been successfully used to study several novel ovine models of critical illness. The relevant investigations are on respiratory failure due to smoke inhalation, transfusion related acute lung injury, endotoxin-induced proteogenomic alterations, haemorrhagic shock, septic shock, brain death, cerebral microcirculation, and artificial heart studies. We have demonstrated the functionality of monitoring practices during anaesthesia required to provide a platform for undertaking systematic investigations in complex ovine models of critical illness.

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ID Code: 88738
Item Type: Journal Article
Refereed: Yes
Additional URLs:
DOI: 10.1155/2014/468309
ISSN: 2314-6133
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Saul Chemonges et al.
Copyright Statement: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Deposited On: 29 Oct 2015 23:50
Last Modified: 07 Dec 2016 01:19

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