Literature DB >> 20639170

Calculation of the best basal-bolus combination for postprandial glucose control in insulin pump therapy.

A Revert1, R Calm, J Vehi, J Bondia.   

Abstract

Intensive insulin therapy in type 1 diabetes is based on the well-established practice of adjusting basal and bolus insulin independently. Basal insulin delivery is designed to optimize glucose concentrations between meals and overnight, while bolus insulin delivery is designed to optimize postprandial glucose concentrations. However, this strategy shows some limitations in the postprandial glucose control, especially for meals with high carbohydrate content. Strategies based on coordinating basal and bolus insulin in the postprandial period help in overcoming these limitations. An algorithm, based on mathematically guaranteed techniques (interval analysis), is presented in this paper. It determines, given the current glycemic state of the patient and the meal to be ingested, a basal-bolus combination that will yield a tight postprandial glycemic control according to the International Diabetes Federation guidelines. For a given meal, the algorithm reveals which bolus administration mode will enable a good postprandial performance: standard, square-wave, dual-wave, or temporal basal decrement. The algorithm is validated through an in silico study using the 30 subjects in the educational version of the Food and Drug Administration accepted University of Virginia simulator.

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Year:  2010        PMID: 20639170     DOI: 10.1109/TBME.2010.2058805

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

Review 1.  Use of Automated Bolus Calculators for Diabetes Management.

Authors:  Frank L Schwartz; Cynthia R Marling
Journal:  Eur Endocrinol       Date:  2013-08-23

2.  Improving the computational effort of set-inversion-based prandial insulin delivery for its integration in insulin pumps.

Authors:  Fabian León-Vargas; Remei Calm; Jorge Bondia; Josep Vehí
Journal:  J Diabetes Sci Technol       Date:  2012-11-01

3.  Evaluation of a novel continuous glucose monitoring-based method for mealtime insulin dosing--the iBolus--in subjects with type 1 diabetes using continuous subcutaneous insulin infusion therapy: a randomized controlled trial.

Authors:  Paolo Rossetti; F Javier Ampudia-Blasco; Alejandro Laguna; Ana Revert; Josep Vehì; Juan F Ascaso; Jorge Bondia
Journal:  Diabetes Technol Ther       Date:  2012-09-24       Impact factor: 6.118

Review 4.  Artificial Intelligence in Decision Support Systems for Type 1 Diabetes.

Authors:  Nichole S Tyler; Peter G Jacobs
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

  4 in total

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