Literature DB >> 19049372

Bolus calculator: a review of four "smart" insulin pumps.

Howard Zisser1, Lauren Robinson, Wendy Bevier, Eyal Dassau, Christian Ellingsen, Francis J Doyle, Lois Jovanovic.   

Abstract

Abstract The use of continuous subcutaneous insulin infusion (CSII) pumps has been gaining popularity since 1979, when the first research report on insulin pumps was published. Insulin pumps-small medical devices that are programmed to infuse insulin through a catheter placed under the skin-are a replacement for multiple daily injections of insulin. They are currently being used by 375,000 people with type 1 diabetes, many of whom prefer CSII to multiple daily injections because of the increased flexibility of diet and exercise, increased convenience and precision when dosing, and better predictability of blood glucose levels that insulin pumps can provide when used correctly. Recent pump manufacturers have engineered a new feature called a bolus calculator, which calculates bolus insulin doses based on input from the pump wearer, which functions to help patients obtain optimum control over blood glucose levels. The bolus calculator takes into account the patient's current blood glucose, target blood glucose, amount of carbohydrate consumed, and other factors such as insulin sensitivity and insulin-to-carbohydrate ratio as well as duration of insulin action ("insulin on board"). Each pump company calculates insulin doses in a slightly different way. This article will review differences in bolus calculator recommendations between four insulin pumps, as well as errors that may occur when using bolus calculators. It will also include an in silico simulation of a meal followed by a snack using multiple insulin decay curves.

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Year:  2008        PMID: 19049372     DOI: 10.1089/dia.2007.0284

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  45 in total

1.  Modeling the effects of subcutaneous insulin administration and carbohydrate consumption on blood glucose.

Authors:  Matthew W Percival; Wendy C Bevier; Youqing Wang; Eyal Dassau; Howard C Zisser; Lois Jovanovič; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  The use of insulin pumps in youth with type 1 diabetes.

Authors:  David M Maahs; Lauren A Horton; H Peter Chase
Journal:  Diabetes Technol Ther       Date:  2010-06       Impact factor: 6.118

3.  Impact of blood glucose self-monitoring errors on glucose variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an in silico study.

Authors:  Marc D Breton; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

4.  Commentary on "Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects".

Authors:  Paolo Rossetti; Josep Vehí; Ana Revert; Remei Calm; Jorge Bondia
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

5.  A closed-loop artificial pancreas using model predictive control and a sliding meal size estimator.

Authors:  Hyunjin Lee; Bruce A Buckingham; Darrell M Wilson; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

6.  A novel adaptive basal therapy based on the value and rate of change of blood glucose.

Authors:  Youqing Wang; Matthew W Percival; Eyal Dassau; Howard C Zisser; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

Review 7.  Bolus Advisors: Sources of Error, Targets for Improvement.

Authors:  John Walsh; Ruth Roberts; Timothy S Bailey; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2017-07-25

8.  Advances in Care for Insulin-Requiring Patients Without Closed Loop.

Authors:  Rayhan A Lal; Bruce Buckingham; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2018-06       Impact factor: 6.118

9.  Absorption patterns of meals containing complex carbohydrates in type 1 diabetes.

Authors:  D Elleri; J M Allen; J Harris; K Kumareswaran; M Nodale; L Leelarathna; C L Acerini; A Haidar; M E Wilinska; N Jackson; A M Umpleby; M L Evans; D B Dunger; R Hovorka
Journal:  Diabetologia       Date:  2013-02-23       Impact factor: 10.122

Review 10.  Practical use of self-monitoring of blood glucose data.

Authors:  Barry H Ginsberg
Journal:  J Diabetes Sci Technol       Date:  2013-03-01
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