Literature DB >> 4075940

Blood glucose control by intermittent loop closure in the basal mode: computer simulation studies with a diabetic model.

S M Furler, E W Kraegen, R H Smallwood, D J Chisholm.   

Abstract

A semiclosed loop, bedside insulin infusion system using a simple basal infusion algorithm consisting of a linear transition between two insulin delivery rates as blood glucose (BG) increases has been developed. A theoretical study using computer simulation has now been undertaken to examine the effect of BG sampling frequency and algorithm parameters on BG control. A model for BG control by exogenous insulin in the individual with diabetes was developed from a model for healthy subjects and from clinical data in the literature. Results of computer simulation using this model showed a decrease in BG stability as the sampling interval increased from 1 to 4 h. Simulations also showed a decrease in BG stability as the sensitivity of the control algorithm increased. Choice of an appropriate basal control algorithm involved a compromise between stability, sampling interval, and metabolic control. We conclude that satisfactory metabolic control can be obtained using intermittent BG sampling in the basal state; sampling at intervals of 3 h combined with a basal control algorithm whereby insulin delivery rate increases linearly from 0.5 to 2.5 U/h over the BG range 2-12 mmol/L appears suitable for most diabetic persons. Three-hour sampling offers a good compromise between degree of metabolic control and clinical effort involved.

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Year:  1985        PMID: 4075940     DOI: 10.2337/diacare.8.6.553

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  8 in total

1.  A switching control strategy for the attenuation of blood glucose disturbances.

Authors:  Mihalis G Markakis; Georgios D Mitsis; George P Papavassilopoulos; Petros A Ioannou; Vasilis Z Marmarelis
Journal:  Optim Control Appl Methods       Date:  2011       Impact factor: 2.530

Review 2.  The future of open- and closed-loop insulin delivery systems.

Authors:  Terry G Farmer; Thomas F Edgar; Nicholas A Peppas
Journal:  J Pharm Pharmacol       Date:  2008-01       Impact factor: 3.765

3.  In Vivo Simulations of the Intravenous Dynamics of Submicron Particles of pH-Responsive Cationic Hydrogels in Diabetic Patients.

Authors:  Terry G Farmer; Thomas F Edgar; Nicholas A Peppas
Journal:  Ind Eng Chem Res       Date:  2008-12-17       Impact factor: 3.720

4.  Effectiveness of Intravenous Infusion Algorithms for Glucose Control in Diabetic Patients Using Different Simulation Models.

Authors:  Terry G Farmer; Thomas F Edgar; Nicholas A Peppas
Journal:  Ind Eng Chem Res       Date:  2009-03-24       Impact factor: 3.720

5.  Nonlinear modeling of the dynamic effects of infused insulin on glucose: comparison of compartmental with Volterra models.

Authors:  Georgios D Mitsis; Mihalis G Markakis; Vasilis Z Marmarelis
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-02       Impact factor: 4.538

6.  Observer-based state feedback for enhanced insulin control of type 'i' diabetic patients.

Authors:  Ali Hariri; Le Yi Wang
Journal:  Open Biomed Eng J       Date:  2011-12-30

7.  CarbMetSim: A discrete-event simulator for carbohydrate metabolism in humans.

Authors:  Mukul Goyal; Buket Aydas; Husam Ghazaleh; Sanjay Rajasekharan
Journal:  PLoS One       Date:  2020-03-10       Impact factor: 3.240

8.  Novel algebraic meal disturbance estimation based adaptive robust control design for blood glucose regulation in type 1 diabetes patients.

Authors:  Nasim Ullah; Al-Sharef Muhammad
Journal:  IET Syst Biol       Date:  2020-08       Impact factor: 1.615

  8 in total

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