Literature DB >> 12828818

A bolus calculator is an effective means of controlling postprandial glycemia in patients on insulin pump therapy.

Todd M Gross1, David Kayne, Allen King, Carla Rother, Suzanne Juth.   

Abstract

Accurate bolus insulin doses require calculations based on (1) current blood glucose, (2) target blood glucose, (3) carbohydrate-to-insulin ratios, (4) total grams of carbohydrate in meals, and (5) insulin sensitivity factors. Patients may often forego these calculations for insulin doses based on empirical estimates. A bolus calculator (Medtronic MiniMed) uses these five parameters to generate a recommended bolus insulin dose. This study provides the evidence that a hand-held bolus calculator is effective in controlling postprandial blood glucose. Subjects (n = 49) with Type 1 diabetes and experienced with continuous subcutaneous insulin infusion therapy were randomized to begin one of two bolus dosing methods. After 7 days, subjects crossed over to the alternate method. Prior to entering the Bolus Calculator period, physicians established patients' bolus parameters and programmed them into a personal digital assistant (PDA). Subjects used the PDA to obtain recommended pre-meal insulin bolus doses. During the Standard Bolus period, significantly more correction boluses were administered to curtail postprandial hyperglycemia (p = 0.008) and more supplemental carbohydrate was consumed to raise low blood glucose (p = 0.046). Similar values were observed between the two bolus dosing methods in average deviation of 2-h postprandial blood glucose. Subjects reported that the bolus calculator was easy to use and that they were confident in the bolus doses suggested by the device. These results confirm that bolus insulin doses computed by a bolus calculator, compared with standard bolus techniques, achieve target postprandial blood glucose but with fewer correction boluses and supplemental carbohydrate. A bolus calculator, which can be integrated into insulin pump software, may help patients to more accurately meet prandial insulin dosage requirements, improve postprandial glycemic excursions, and achieve optimal glycemic control.

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Year:  2003        PMID: 12828818     DOI: 10.1089/152091503765691848

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


  41 in total

1.  Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects.

Authors:  Allen Sussman; Elizabeth J Taylor; Mona Patel; Jeanne Ward; Shridhara Alva; Andrew Lawrence; Ronald Ng
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

2.  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

3.  6(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG) applications and beyond, April 25-27, 2013, Riga, Latvia.

Authors:  Aus Alzaid; Christof Schlaeger; Rolf Hinzmann
Journal:  Diabetes Technol Ther       Date:  2013-09-28       Impact factor: 6.118

Review 4.  Boluses in Insulin Therapy.

Authors:  Ralph Ziegler; Guido Freckmann; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2016-07-10

5.  Sources of glycemic variability--what type of technology is needed?

Authors:  Jonas Kildegaard; Toke Folke Christensen; Ole Kristian Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

6.  Combined insulin pump therapy with real-time continuous glucose monitoring significantly improves glycemic control compared to multiple daily injection therapy in pump naïve patients with type 1 diabetes; single center pilot study experience.

Authors:  Scott W Lee; Tom Sweeney; Debbie Clausen; Celia Kolbach; Allen Hassen; Anthony Firek; Charles Brinegar; Jerrold Petrofsky
Journal:  J Diabetes Sci Technol       Date:  2007-05

7.  Bolus Calculator Safety Mandates a Need for Standards.

Authors:  John Walsh; Guido Freckmann; Ruth Roberts; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2016-12-20

8.  In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change.

Authors:  Giacomo Cappon; Francesca Marturano; Martina Vettoretti; Andrea Facchinetti; Giovanni Sparacino
Journal:  J Diabetes Sci Technol       Date:  2018-05-31

9.  Glucose meters with built-in automated bolus calculator: gadget or real value for insulin-treated diabetic patients?

Authors:  Ides M Colin; Isabelle Paris
Journal:  Diabetes Ther       Date:  2012-12-19       Impact factor: 2.945

10.  The artificial pancreas: how sweet engineering will solve bitter problems.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2007-01
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