DISTq: Low-cost, Accurate and Real-Time Estimation of Insulin Sensitivity

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dc.contributor.authorDocherty, P.D.
dc.contributor.authorChase, Geoff
dc.contributor.authorLotz, T.F.
dc.contributor.authorHann, C.E.
dc.contributor.authorShaw, Geoff
dc.contributor.authorBerkeley, J.E.
dc.contributor.authorMann, J.I.
dc.contributor.authorMcAuley, K.A.
dc.date.accessioned2010-04-19T01:31:33Z
dc.date.available2010-04-19T01:31:33Z
dc.date.issued2009en
dc.description.abstractKnowing insulin sensitivity (SI) can optimise glycaemic control, assess metabolic drug therapy, or define diabetes risk. The DISTq is a short, low dose IM-IVGTT that generates an estimate of SI immediately after a 40 minute test using only glucose measurements, subject’s physical attributes, and population parameter estimations. In this article, the DISTq is evaluated in clinical and in silics trials. In clinical trials, the test has shown a very strong correlation to the fully sampled DIST SI (R=0.91), (which also uses insulin and c-peptide assays) and a strong correlation to the euglycemic hyperinsulinaemic clamp (EIC) in in silico virtual trials (R=0.89). This study shows that population estimates can reduce the need for expensive insulin and c-peptide assays in obtaining an accurate, real-time estimation of SI.en
dc.identifier.citationDocherty, P.D., Chase, J.G., Lotz, T.F., Hann, C.E., Shaw, G.M., Berkeley, J.E., Mann, J.I., McAuley, K.A. (2009) DISTq: Low-cost, Accurate and Real-Time Estimation of Insulin Sensitivity. Aalborg, Denmark: 7th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS 09), 12-14 Aug 2009.en
dc.identifier.urihttp://hdl.handle.net/10092/3762
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectInsulin sensitivityen
dc.subjectDiabetes risk assessmenten
dc.subjectInsulin sensitivity testen
dc.subject.marsdenFields of Research::290000 Engineering and Technology::291500 Biomedical Engineering::291504 Biomechanical engineeringen
dc.subject.marsdenFields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321004 Endocrinologyen
dc.titleDISTq: Low-cost, Accurate and Real-Time Estimation of Insulin Sensitivityen
dc.typeConference Contributions - Published
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