Abstract
Models describing plasma glucose and insulin concentration of an intravenous glucose tolerance test (IVGTT) allow a noninvasive cost-effective approach to estimate important indexes characterizing the efficiency of glucose-insulin control system, i.e., glucose effectiveness (SG) and insulin sensitivity (SI). To overcome some limitations of the classic single compartment minimal model (1CMM) of glucose kinetics, a two-compartment Bayesian minimal model (2CBMM) has been recently proposed for the standard IVGTT. This study aims to assess 2CBMM ability to describe the insulin-modified IVGTT (IM-IVGTT) which is the protocol of choice since it allows to study insulinopenic states. Both a full-length IM-IVGTT (240 min) as well as a reduced version (90 min) of it are studied. Results of the maximum a posteriori identification of IM-IVGTT (240 min) in 13 normals agree with those of standard IVGTT, i.e., a 42% decrease (P <0.002) of SG and a 13% increase (P <0.006) of SI with respect to 1CMM. When identified from IM-IVGTT (90 min), 2CBMM not only provides SG and SI estimates 46% lower (P <0.002) and 41% higher (P <0.002) than 1CMM ones respectively, but also seems to overcome some limitations of the 240 min-based identification that probably arise because the minimal model is unable to properly account for the hyperglycemic hormonal response taking place in the second half of IM-IVGTT.
| Original language | English |
|---|---|
| Pages (from-to) | 1301-1309 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Biomedical Engineering |
| Volume | 50 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - Dec 2003 |
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Keywords
- Experiment design
- Glucose kinetics
- Identification
- Maximum a posteriori estimation
- Parameter estimation
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
Bayesian Two-Compartment and Classic Single-Compartment Minimal Models : Comparison on Insulin Modified IVGTT and Effect of Experiment Reduction. / Callegari, Tiziano; Caumo, Andrea; Cobelli, Claudio.
In: IEEE Transactions on Biomedical Engineering, Vol. 50, No. 12, 12.2003, p. 1301-1309.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Bayesian Two-Compartment and Classic Single-Compartment Minimal Models
T2 - Comparison on Insulin Modified IVGTT and Effect of Experiment Reduction
AU - Callegari, Tiziano
AU - Caumo, Andrea
AU - Cobelli, Claudio
PY - 2003/12
Y1 - 2003/12
N2 - Models describing plasma glucose and insulin concentration of an intravenous glucose tolerance test (IVGTT) allow a noninvasive cost-effective approach to estimate important indexes characterizing the efficiency of glucose-insulin control system, i.e., glucose effectiveness (SG) and insulin sensitivity (SI). To overcome some limitations of the classic single compartment minimal model (1CMM) of glucose kinetics, a two-compartment Bayesian minimal model (2CBMM) has been recently proposed for the standard IVGTT. This study aims to assess 2CBMM ability to describe the insulin-modified IVGTT (IM-IVGTT) which is the protocol of choice since it allows to study insulinopenic states. Both a full-length IM-IVGTT (240 min) as well as a reduced version (90 min) of it are studied. Results of the maximum a posteriori identification of IM-IVGTT (240 min) in 13 normals agree with those of standard IVGTT, i.e., a 42% decrease (P <0.002) of SG and a 13% increase (P <0.006) of SI with respect to 1CMM. When identified from IM-IVGTT (90 min), 2CBMM not only provides SG and SI estimates 46% lower (P <0.002) and 41% higher (P <0.002) than 1CMM ones respectively, but also seems to overcome some limitations of the 240 min-based identification that probably arise because the minimal model is unable to properly account for the hyperglycemic hormonal response taking place in the second half of IM-IVGTT.
AB - Models describing plasma glucose and insulin concentration of an intravenous glucose tolerance test (IVGTT) allow a noninvasive cost-effective approach to estimate important indexes characterizing the efficiency of glucose-insulin control system, i.e., glucose effectiveness (SG) and insulin sensitivity (SI). To overcome some limitations of the classic single compartment minimal model (1CMM) of glucose kinetics, a two-compartment Bayesian minimal model (2CBMM) has been recently proposed for the standard IVGTT. This study aims to assess 2CBMM ability to describe the insulin-modified IVGTT (IM-IVGTT) which is the protocol of choice since it allows to study insulinopenic states. Both a full-length IM-IVGTT (240 min) as well as a reduced version (90 min) of it are studied. Results of the maximum a posteriori identification of IM-IVGTT (240 min) in 13 normals agree with those of standard IVGTT, i.e., a 42% decrease (P <0.002) of SG and a 13% increase (P <0.006) of SI with respect to 1CMM. When identified from IM-IVGTT (90 min), 2CBMM not only provides SG and SI estimates 46% lower (P <0.002) and 41% higher (P <0.002) than 1CMM ones respectively, but also seems to overcome some limitations of the 240 min-based identification that probably arise because the minimal model is unable to properly account for the hyperglycemic hormonal response taking place in the second half of IM-IVGTT.
KW - Experiment design
KW - Glucose kinetics
KW - Identification
KW - Maximum a posteriori estimation
KW - Parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=0345356968&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0345356968&partnerID=8YFLogxK
U2 - 10.1109/TBME.2003.819850
DO - 10.1109/TBME.2003.819850
M3 - Article
C2 - 14656059
AN - SCOPUS:0345356968
VL - 50
SP - 1301
EP - 1309
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
SN - 0018-9294
IS - 12
ER -