Replay Simulations with Personalized Metabolic Model for Treatment Design and Evaluation in Type 1 Diabetes.

Journal of Diabetes Science and Technology
Jonathan HughesMarc D Breton

Abstract

The capacity to replay data collected in real life by people with type 1 diabetes mellitus (T1DM) would lead to individualized (vs population) assessment of treatment strategies to control blood glucose and possibly true personalization. Patek et al introduced such a technique, relying on regularized deconvolution of a population glucose homeostasis model to estimate a residual additive signal and reproduce the experimental data; therefore, allowing the subject-specific replay of what-if scenarios by altering the model inputs (eg, insulin). This early method was shown to have a limited domain of validity. We propose and test in silico a similar approach and extend the method applicability. A subject-specific model personalization of insulin sensitivity and meal-absorption parameters is performed. The University of Virginia (UVa)/Padova T1DM simulator is used to generate experimental scenarios and test the ability of the methodology to accurately reproduce changes in glucose concentration to alteration in meal and insulin inputs. Method performance is assessed by comparing true (UVa/Padova simulator) and replayed glucose traces, using the mean absolute relative difference (MARD) and the Clarke error grid analysis (CEGA). Model p...Continue Reading

References

May 11, 2002·IEEE Transactions on Bio-medical Engineering·Chiara Dalla ManClaudio Cobelli
May 13, 2004·American Journal of Physiology. Endocrinology and Metabolism·Chiara Dalla ManClaudio Cobelli
Sep 24, 2004·Physiological Measurement·Roman HovorkaMalgorzata E Wilinska
Mar 2, 2005·Diabetes Technology & Therapeutics·G M SteilK Rebrin
Aug 21, 2007·Computer Methods and Programs in Biomedicine·Giuseppina BelluLeontina D'Angiò
Oct 12, 2007·IEEE Transactions on Bio-medical Engineering·Chiara Dalla ManClaudio Cobelli
May 16, 2009·Journal of Diabetes Science and Technology·Boris P KovatchevClaudio Cobelli
Feb 20, 2010·Journal of Diabetes Science and Technology·Malgorzata E WilinskaRoman Hovorka
Jan 1, 2009·IEEE Reviews in Biomedical Engineering·Claudio CobelliBoris P Kovatchev
May 31, 2014·Journal of Diabetes Science and Technology·Chiara Dalla ManClaudio Cobelli
Dec 2, 2014·Diabetes Technology & Therapeutics·Boris P KovatchevMarc D Breton
Jun 23, 2016·Diabetes Care·Boris KovatchevClaudio Cobelli
Nov 20, 2016·Diabetes Technology & Therapeutics·Martina VettorettiClaudio Cobelli
Feb 17, 2018·Journal of Diabetes Science and Technology·Roberto VisentinClaudio Cobelli

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Software Mentioned

Padova
CEGA
DAISY
UVa

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