Cardiovascular modelling and the Intensive Care Unit clinician (2012)
Critically ill patients are highly variable in their response to care and treatment. This variability and the search for improved outcomes have led to a significant rise in the use of protocolised care to reduce variability in care. However, protocolised care does not address the variability in outcome due to inter- and intra- patient variability. This lack of patient-specificity defines the opportunity for patientspecific approaches to diagnosis, care and patient-management that are complementary to, and fit within, protocolised approaches. Computational models of human physiology offer the potential, with clinical data, to create patientspecific models that capture a patient’s physiological status. Such models can provide new insights into patient condition by turning a series of sometimes confusing clinical data into a clear physiological picture. More directly, they can track patient-specific condition and thus provide new means of diagnosis and opportunities for optimising therapy. This article presents the concept of model-based therapeutics and the use of computational models in cardiovascular critical care in specific. This concept is illustrated by means of examples in monitoring disease states and defining new clinically relevant metrics.
CitationDesaive, T., Lambermont, B., Kolh, P., Shaw, G.M., Chase, J.G. (2012) Cardiovascular modelling and the Intensive Care Unit clinician. Budapest, Hungary: 8th IFAC Symposium on Biological and Medical Systems (BMS12), 28-31 Aug 2012.
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Keywordscardiovascular system; decision support and control of biomedical systems
ANZSRC Fields of Research32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320101 - Cardiology (incl. cardiovascular diseases)
32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320102 - Haematology
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
09 - Engineering::0903 - Biomedical Engineering
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Revie, J.A.; Stevenson, D.; Chase, Geoff; Pretty, C.G.; Lambermont, B.C.; Ghuysen, A.; Kolh, P.; Shaw, Geoff; Desaive, T. (University of Canterbury. Mechanical Engineering, 2013)Introduction. The accuracy and clinical applicability of an improved model-based system for tracking hemodynamic changes is assessed in an animal study on septic shock. Methods. This study used cardiovascular measurements ...
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