You are viewing a version of a model that has been updated. To access the latest version, and a more detailed display please go here.

DDMODEL00000111: Magni_2004_diabetes_IVGTT

  public model
Short description:
Insulin minimal model (MM) for the Bayesian estimation of insulin secretion rate (ISR) and other physiological indexes (e.g,. beta-cell sensitivity) in presence of a uncertain C-peptide kinetics.
PharmML (0.6.1)
  • Insulin minimal model indexes and secretion: proper handling of uncertainty by a Bayesian approach.
  • Sparacino G, Bellazzi R, Toffolo GM, Cobelli C, Magni Paolo
  • Annals of biomedical engineering, 7/2004, Volume 32, Issue 7, pages: 1027-1037
  • Dipartimento di Informatica e Sistemistica, Universit√† degli Studi di Pavia via Ferrata, Pavia, Italy. paolo.magni@unipv.it
  • The identification of the insulin minimal model (MM) for the estimation of insulin secretion rate (ISR) and physiological indexes (e.g. beta-cell sensitivity) requires the knowledge of C-peptide (CP) kinetics. The four parameters of the two-compartment model of CP kinetics in a given individual can be derived either from an additional bolus experiment or, more frequently, from a population model. However, in both situations, the CP kinetics is uncertain and, in MM identification, it should be treated as such. This paper shows how to handle CP kinetics uncertainty by using a Bayesian methodology. In seven subjects, MM indexes and ISR were estimated together with their confidence intervals, using either the bolus data or the population model to assess CP kinetics. The two main results that arise from the application of the new methodology are: (i) the use of the population model in place of the bolus data to determine CP kinetics does not affect, on average, the point estimates of ISR profile and MM parameters but only the confidence intervals which becomes wider (less than 50%); (ii) in both the bolus and population situation neglecting the uncertainty of CP kinetics, as done in MM literature so far, introduces no bias, on average, on point estimates of MM indexes but only an underestimation of confidence intervals.
Paolo Magni
Annotations are correct.
This model is not certified.
  • Model owner: Paolo Magni
  • Submitted: Dec 11, 2015 11:43:47 PM
  • Last Modified: Nov 8, 2017 4:42:03 PM
Revisions
  • Version: 14 public model Download this version
    • Submitted on: Nov 8, 2017 4:42:03 PM
    • Submitted by: Paolo Magni
    • With comment: Updated model annotations.
  • Version: 11 public model Download this version
    • Submitted on: Oct 11, 2016 5:41:52 PM
    • Submitted by: Paolo Magni
    • With comment: Update MDL syntax to the version 1.0 and R script to SEE version 2.0.0. Added prior distributions Code automatically generated/manually modified for WinBUGS
  • Version: 8 public model Download this version
    • Submitted on: Jul 16, 2016 3:22:58 PM
    • Submitted by: Paolo Magni
    • With comment: Model revised without commit message
  • Version: 4 public model Download this version
    • Submitted on: Dec 11, 2015 11:43:47 PM
    • Submitted by: Paolo Magni
    • With comment: Edited model metadata online.
 
Help