Table 2.
SI Metrics from the Proportional Model, the Proposed Saturative Model and the SG Free Variable Model
| Model Parameters | Intra – Subject Variability | Normalised Error I, G | Total Mean (CV) | NGT Mean (CV) | IFG-T2DM Mean (CV) | p-Value | |
|---|---|---|---|---|---|---|---|
| Proportional Model | SIL* | 13.8% | 1.004 1.076 | 14.38* (61.5%) | 16.66* (50.4%) | 6.18* (76.2%) | <0.001 |
| Saturation Model | SIS* | 40.1% | 0.991 0.928 | 36.58* (151.6%) | 38.57* (150.9%) | 29.42* (157.3%) | 0.65 |
| I50† | 55.6% | 139.33† (130.5%) | 106.67† (98.9%) | 226.4† (131.3%) | 0.092 | ||
| SG free var. Model | SIG* | 15.8% | 1.004 0.996 | 14.54* (62.1%) | 16.91* (50.0%) | 5.99* (82.8%) | <0.001 |
| SG‡ | 88.2% | 68.10‡ (168.3%) | 67.81‡ (184.6%) | 69.12‡ (99.3%) | 0.97 | ||
All metrics are shown as the mean of the full study population metrics and coefficient of variations (CV) of those metrics. Equation 10 defines the intra-subject variation. The mean residual errors produced are derived by finding the mean error between the measured data and the re-simulated profiles for insulin and glucose. The p-values are derived with Student’s t-test between the NGT and IFG-T2DM subgroups
*
e-4L·mU-1·min-1
†
mU·L-1
‡
e-4min-1).