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, p. 468309.

View at publisher (open access)


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.

Impact and interest:

2 citations in Scopus
Search Google Scholar™
2 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

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.
Deposited On: 29 Oct 2015 23:50
Last Modified: 29 Oct 2015 23:50

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page