Estimation of endogenous glucose production after a glucose perturbation by nonparametric stochastic deconvolution.
Estimation of endogenous glucose production after a glucose perturbation by nonparametric stochastic deconvolution.
复制标题
通过非参数随机反卷积估计葡萄糖扰动后内源性葡萄糖的产生。
DOI:
10.1016/s0169-2607(96)01784-1
复制
发表时间:
1997
影响因子:
6.1
通讯作者:
C. Cobelli
中科院分区:
文献类型:
--
作者:
P. Vicini;G. Sparacino;A. Caumo;C. Cobelli
The knowledge of the time course of endogenous glucose production (EGP) after a glucose perturbation is crucially important for understanding the glucose regulation system in both healthy and disease (e.g. diabetes) states. EGP is not directly accessible, and thus an indirect measurement approach is required. The estimation of EGP during an intravenous glucose tolerance test (IVGTT) can be posed as an input estimation problem solvable as a Fredholm integral equation of the first kind (A. Caumo and C. Cobelli, Am. J. Physiol., 264 (1993) E829–E841). The time-varying model of the kernel of the glucose system was identified from a concomitant tracer experiment, and EGP was reconstructed by employing the Phillips-Tikhonov regularization (deconvolution) algorithm. However, the proposed deconvolution approach left some issues open, e.g. how to choose the amount of regularization and how to deal with nonuniform/infrequent sampling. Here, a solution to these problems is provided by resorting to a new deconvolution algorithm. Thanks to the stochastic embedding into which the new deconvolution method is stated, the amount of regularization is determined in a statistically sound manner. In addition, in face of infrequent sampling, a time continuous profile of EGP is obtained. The method is shown to work reliably for reconstructing EGP in different IVGTT experimental protocols, both in normal and disease states.
DOI:
10.1152/ajpendo.1996.270.3.e532
发表时间:
1996
期刊:
The American journal of physiology.
影响因子:
--
作者:
Avogaro,A;Vicini,P;Valerio,A;Caumo,A;Cobelli,C
通讯作者:
Cobelli,C