Title :
Comparison of classic and two-compartment minimal models for evaluation of glucose disposal indexes in hypertension
Author :
Natalucci, S. ; Boemi, M. ; Carnevali, R. ; Fumelli, P. ; Burattini, R.
Author_Institution :
Dipt. di Elettronica e Autom., Ancona Univ., Italy
Abstract :
A standard intravenous glucose tolerance test (IVGTT) was performed in five non-diabetic patients with essential hypertension (under long-term pharmacological treatment) and five normotensive control subjects. A two-compartment minimal model (2CMM) of glucose kinetics was applied to estimate indexes of glucose effectiveness and insulin sensitivity by means of a maximum a posteriori (MAP) Bayesian estimation technique. These estimates were contrasted to those obtained from the application of the classic minimal model (1CMM). Both the 2CMM and the 1CMM yielded estimates of glucose effectiveness and insulin sensitivity indexes that document severe insulin resistance and impaired glucose effectiveness in non-diabetic hypertensive patients. The index of glucose effectiveness provided by the 2CMM was, on average, 70% (in the hypertensive group) and 56% (in the normotensive group) of the corresponding estimate provided by the MM. The 2CMM index of insulin sensitivity was, on average, 140% and 142% of the corresponding estimate provided by the 1CMM. These results confirm that the Bayesian identification of the 2CMM improves the accuracy of glucose effectiveness and of insulin sensitivity estimates over the classic single-pool description (1CMM) of glucose kinetics
Keywords :
Bayes methods; biochemistry; biomedical measurement; haemodynamics; patient monitoring; physiological models; proteins; classic model; glucose disposal indexes; glucose effectiveness; hypertension; impaired glucose effectiveness; insulin sensitivity; long-term pharmacological treatment; maximum a posteriori Bayesian estimation technique; nondiabetic patients; normotensive control subjects; severe insulin resistance; standard intravenous glucose tolerance test; two-compartment minimal model; Bayesian methods; Diabetes; Diseases; Hypertension; Insulin; Kinetic theory; Medical treatment; Sugar; Testing; Yield estimation;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804158