%0 Journal Article %1 rudge:2006qy %A Rudge, a D %A Chase, J G %A Shaw, G M %A Lee, D %D 2006 %J Medical engineering & physics %K Agitation,Psychomotor Agitation: Biological,Models, Care,Critical Care: Conscious Dynamics,Psychomotor Factors Illness,Critical Illness: Physiologic,Nonlinear Sedation,Critical Statistical,Monitoring, drug methods,Critical therapy,Humans,Models, therapy,Time %N 1 %P 49--59 %R 10.1016/j.medengphy.2005.03.005 %T Physiological modelling of agitation-sedation dynamics. %U http://www.ncbi.nlm.nih.gov/pubmed/15869894 %V 28 %X Agitation-sedation cycling in critically ill patients, characterized by oscillations between states of agitation and over-sedation, damages patient health and increases length of stay and cost. A model that captures the essential dynamics of the agitation-sedation system and is physiologically representative is developed, and validated using data from 37 critical care patients. It is more physiologically representative than a previously published agitation-sedation model, and captures more realistic and complex dynamics. The median time in the 90\% probability band is 90\%, and the total drug dose, relative to recorded drug dose data, is a near ideal 101\%. These statistical model validation metrics are 5-13\% better than a previously validated model. Hence, this research provides a platform to develop and test semi-automated sedation management controllers that offer the significant clinical potential of improved agitation management and reduced length of stay in critical care.

@article{rudge:2006qy, abstract = {Agitation-sedation cycling in critically ill patients, characterized by oscillations between states of agitation and over-sedation, damages patient health and increases length of stay and cost. A model that captures the essential dynamics of the agitation-sedation system and is physiologically representative is developed, and validated using data from 37 critical care patients. It is more physiologically representative than a previously published agitation-sedation model, and captures more realistic and complex dynamics. The median time in the 90\% probability band is 90\%, and the total drug dose, relative to recorded drug dose data, is a near ideal 101\%. These statistical model validation metrics are 5-13\% better than a previously validated model. Hence, this research provides a platform to develop and test semi-automated sedation management controllers that offer the significant clinical potential of improved agitation management and reduced length of stay in critical care.}, added-at = {2013-11-08T00:45:00.000+0100}, author = {Rudge, a D and Chase, J G and Shaw, G M and Lee, D}, bdsk-file-1 = {YnBsaXN0MDDUAQIDBAUGJCVYJHZlcnNpb25YJG9iamVjdHNZJGFyY2hpdmVyVCR0b3ASAAGGoKgHCBMUFRYaIVUkbnVsbNMJCgsMDxJXTlMua2V5c1pOUy5vYmplY3RzViRjbGFzc6INDoACgAOiEBGABIAFgAdccmVsYXRpdmVQYXRoWWFsaWFzRGF0YV8QEFJ1ZGdlLTIwMDZhYS5wZGbSFwsYGVdOUy5kYXRhTxEBiAAAAAABiAACAAAFU29uaWMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAzc5EoEgrAAAABS0nEFJ1ZGdlLTIwMDZhYS5wZGYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHYvjKTEj2AAAAAAAAAAAAAQACAAAJIAAAAAAAAAAAAAAAAAAAAApSZWZlcmVuY2VzABAACAAAzc6K8AAAABEACAAAykyPRgAAAAEAEAAFLScABSwbAAUDUgACEDcAAgA6U29uaWM6VXNlcnM6AGFuZHJlczoARHJvcGJveDoAUmVmZXJlbmNlczoAUnVkZ2UtMjAwNmFhLnBkZgAOACIAEABSAHUAZABnAGUALQAyADAAMAA2AGEAYQAuAHAAZABmAA8ADAAFAFMAbwBuAGkAYwASADBVc2Vycy9hbmRyZXMvRHJvcGJveC9SZWZlcmVuY2VzL1J1ZGdlLTIwMDZhYS5wZGYAEwABLwAAFQACAA3//wAAgAbSGxwdHlokY2xhc3NuYW1lWCRjbGFzc2VzXU5TTXV0YWJsZURhdGGjHR8gVk5TRGF0YVhOU09iamVjdNIbHCIjXE5TRGljdGlvbmFyeaIiIF8QD05TS2V5ZWRBcmNoaXZlctEmJ1Ryb290gAEACAARABoAIwAtADIANwBAAEYATQBVAGAAZwBqAGwAbgBxAHMAdQB3AIQAjgChAKYArgI6AjwCQQJMAlUCYwJnAm4CdwJ8AokCjAKeAqECpgAAAAAAAAIBAAAAAAAAACgAAAAAAAAAAAAAAAAAAAKo}, bdsk-url-1 = {http://www.ncbi.nlm.nih.gov/pubmed/15869894}, bdsk-url-2 = {http://dx.doi.org/10.1016/j.medengphy.2005.03.005}, biburl = {https://www.bibsonomy.org/bibtex/2a89db65cb61fd8d52cd2439fd4a1aea8/andresgm}, date-modified = {2011-07-22 23:02:14 +0000}, doi = {10.1016/j.medengphy.2005.03.005}, interhash = {30d41093ffe88e4b1310af8aa2d3579f}, intrahash = {a89db65cb61fd8d52cd2439fd4a1aea8}, issn = {1350-4533}, journal = {Medical engineering \& physics}, keywords = {Agitation,Psychomotor Agitation: Biological,Models, Care,Critical Care: Conscious Dynamics,Psychomotor Factors Illness,Critical Illness: Physiologic,Nonlinear Sedation,Critical Statistical,Monitoring, drug methods,Critical therapy,Humans,Models, therapy,Time}, month = jan, number = 1, pages = {49--59}, pmid = {15869894}, timestamp = {2013-11-08T00:45:00.000+0100}, title = {Physiological modelling of agitation-sedation dynamics.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/15869894}, volume = 28, year = 2006 }