Institut d'Informatica i Aplicacions, University of Girona, Campus de Montilivi, Edifici P4, 17071 Girona, Spain.
Comput Methods Programs Biomed. 2012 Oct;108(1):224-33. doi: 10.1016/j.cmpb.2012.04.003. Epub 2012 Jun 5.
The behavior of three insulin action and glucose kinetics models was assessed for an insulin therapy regime in the presence of patient variability. For this purpose, postprandial glucose in patients with type 1 diabetes was predicted by considering intra- and inter-patient variability using modal interval analysis. Equations to achieve optimal prediction are presented for models 1, 2 and 3, which are of increasing complexity. The model parameters were adjusted to reflect the "same" patient in the presence of variability. The glucose response envelope for model 1, the simplest insulin-glucose model assessed, included the responses of the other two models when a good fit of the model parameters was achieved. Thus, under variability, simple glucose-insulin models may be sufficient to describe patient dynamics in most situations.
评估了三种胰岛素作用和葡萄糖动力学模型在存在患者变异性的情况下的胰岛素治疗方案的行为。为此，使用模态区间分析考虑个体内和个体间变异性，预测 1 型糖尿病患者的餐后血糖。提出了用于模型 1、2 和 3 的最佳预测方程，这些方程的复杂性逐渐增加。调整模型参数以反映存在变异性时的“相同”患者。当模型参数拟合良好时，最简单的胰岛素-葡萄糖模型 1 的葡萄糖反应包络包含了其他两种模型的反应。因此，在存在变异性的情况下，简单的葡萄糖-胰岛素模型在大多数情况下可能足以描述患者的动态。
