Bayesian two-compartment and classic single-compartment minimal models: comparison on insulin modified IVGTT and effect of experiment reduction.
Bayesian two-compartment and classic single-compartment minimal models: comparison on insulin modified IVGTT and effect of experiment reduction.
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贝叶斯二室与经典单室最小模型:胰岛素改良IVGTT比较及实验减少效果。
DOI:
10.1109/tbme.2003.819850
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发表时间:
2003
期刊:
影响因子:
--
通讯作者:
Cobelli,Claudio
中科院分区:
文献类型:
--
作者:
Callegari,Tiziano;Caumo,Andrea;Cobelli,Claudio
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 (S/sub G/) and insulin sensitivity (S/sub I/). 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 one 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 S/sub G/ and a 13% increase (P<0.006) of S/sub I/ with respect to 1CMM. When identified from IM-IVGTT (90 min), 2CBMM not only provides S/sub G/ and S/sub I/ 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.