静脉内葡萄糖耐量试验的离散单延迟模型。

Q1 Mathematics
Simona Panunzi, Pasquale Palumbo, Andrea De Gaetano
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引用次数: 108

摘要

背景:由于识别胰岛素抵抗的重要性日益增加,需要有一个可靠的数学模型来代表葡萄糖/胰岛素控制系统。这样的模型应该足够简单,可以精确地估计单个患者的胰岛素敏感性,同时表现出稳定的动力学和可接受的生理行为。结果:提出了一种新的、离散的葡萄糖/胰岛素系统单延迟模型(SDM),适用于静脉内葡萄糖耐量试验(ivgts)以及多种注射和输注方案,该模型可同时拟合葡萄糖和胰岛素观察结果。SDM在基线平衡值附近稳定,并且始终具有正有界解。采用与最小模型SI指数相似的定义,胰岛素敏感性直接由SDM的自由参数KxgI表示。为了评估胰岛素敏感性测定的可靠性,我们对40名健康志愿者的ivgtt进行了SDM和MM的拟合。SDM对所有参数估计的精度更好:40名受试者中有40名从SDM中显示出可识别的(CV < 52%) KxgI, 40名受试者中有20名从MM中显示出可识别的SI。KxgI与HOMA-IR指数的逆相关良好,而SI只有在排除5名具有极端SI值的受试者时才相关。除了这5个受试者外,SDM和MM衍生的指数相关性很好(r = 0.93)。结论:SDM在理论上是合理的,在实际应用中是可靠的,可作为常规的胰岛素敏感性IVGTT测定方法。估计SDM参数的免费软件是可用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test.

A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test.

A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test.

A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test.

Background: Due to the increasing importance of identifying insulin resistance, a need exists to have a reliable mathematical model representing the glucose/insulin control system. Such a model should be simple enough to allow precise estimation of insulin sensitivity on a single patient, yet exhibit stable dynamics and reproduce accepted physiological behavior.

Results: A new, discrete Single Delay Model (SDM) of the glucose/insulin system is proposed, applicable to Intra-Venous Glucose Tolerance Tests (IVGTTs) as well as to multiple injection and infusion schemes, which is fitted to both glucose and insulin observations simultaneously. The SDM is stable around baseline equilibrium values and has positive bounded solutions at all times. Applying a similar definition as for the Minimal Model (MM) SI index, insulin sensitivity is directly represented by the free parameter KxgI of the SDM. In order to assess the reliability of Insulin Sensitivity determinations, both SDM and MM have been fitted to 40 IVGTTs from healthy volunteers. Precision of all parameter estimates is better with the SDM: 40 out of 40 subjects showed identifiable (CV < 52%) KxgI from the SDM, 20 out of 40 having identifiable SI from the MM. KxgI correlates well with the inverse of the HOMA-IR index, while SI correlates only when excluding five subjects with extreme SI values. With the exception of these five subjects, the SDM and MM derived indices correlate very well (r = 0.93).

Conclusion: The SDM is theoretically sound and practically robust, and can routinely be considered for the determination of insulin sensitivity from the IVGTT. Free software for estimating the SDM parameters is available.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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