Literature DB >> 21355727

A novel insulin unit calculator for the management of type 1 diabetes.

Anna Rita Maurizi1, Angelo Lauria, Daria Maggi, Andrea Palermo, Elvira Fioriti, Silvia Manfrini, Paolo Pozzilli.   

Abstract

BACKGROUND: Intensive insulin therapy is the gold standard therapy for type 1 diabetes (T1D) patients. To achieve optimal glycemic control, adjustments of insulin dose at mealtimes must be made taking into account several parameters: blood glucose levels, insulin/carbohydrate ratio, carbohydrate intake, and physical activity. Calsulin (Thorpe Products Ltd., Cambridge, UK) is a new tool for the administration of insulin dose before each meal. The aim of this study was to evaluate the efficacy of Calsulin on metabolic control in T1D patients undergoing intensive insulin therapy. SUBJECTS AND METHODS: Forty consecutive patients affected by T1D, 18-65 years old, with disease duration of >1 year, were randomized to Calsulin or to the control group. Hemoglobin A1c (HbA1c) was evaluated at entry into the study and at 3- and 6-month follow-ups. Paired t test (two tailed) and analysis of variance were used to evaluate differences in HbA1c at 3 and 6 months in the two groups.
RESULTS: HbA1c at entry was 7.9 ± 1.0% (SD) in the Calsulin-treated group and 7.8 ± 1.6% (SD) in control patients (P not significant). Data showed a slight improvement in HbA1c levels at 3 months in the Calsulin-treated group (-0.61% vs. -0.14% difference, respectively; P not significant). At the 6-month follow-up, a significant reduction in HbA1c levels was observed in the Calsulin-treated group versus the control group (-0.85% vs. -0.07% difference, respectively; P < 0.05).
CONCLUSIONS: Calsulin is an acceptable and practical tool that makes the process of calculating insulin doses easy to use, and, most importantly, it improves metabolic control as shown by a significant reduction of HbA1c levels.

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Year:  2011        PMID: 21355727     DOI: 10.1089/dia.2010.0190

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


  12 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

Review 2.  Bolus calculators.

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Journal:  J Diabetes Sci Technol       Date:  2014-05-19

3.  Role of Automation/Technology in Day-to-Day Diabetes Care.

Authors:  Vikash Dadlani; Yogish C Kudva
Journal:  Diabetes Technol Ther       Date:  2016-03-30       Impact factor: 6.118

4.  Safe and Efficacious Use of Automated Bolus Advisors in Individuals Treated With Multiple Daily Insulin Injection (MDI) Therapy: Lessons Learned From the Automated Bolus Advisor Control and Usability Study (ABACUS).

Authors:  Christopher G Parkin; Katharine Barnard; Deborah A Hinnen
Journal:  J Diabetes Sci Technol       Date:  2015-03-20

5.  Issues and Ideas in Bolus Advisor Research With Commentary on "A Methodology to Compare Insulin Dosing Algorithms in Real-Life Settings".

Authors:  John Walsh
Journal:  J Diabetes Sci Technol       Date:  2017-07-06

6.  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

7.  A study of patient experience using a blood glucose meter with an in-built insulin dose calculator.

Authors:  Shenaz Ramtoola; Edward Jude; Anthony Robinson; Iqbal Malik; Gerrard Rayman; Cuong Dang; Graham David RossMartin; Amar Ali
Journal:  J Diabetes Sci Technol       Date:  2014-05-12

8.  Unknown Safety and Efficacy of Smartphone Bolus Calculator Apps Puts Patients at Risk for Severe Adverse Outcomes.

Authors:  Irl B Hirsch; Christopher G Parkin
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

9.  Use of an automated bolus calculator in MDI-treated type 1 diabetes: the BolusCal Study, a randomized controlled pilot study.

Authors:  Signe Schmidt; Merete Meldgaard; Nermin Serifovski; Camilla Storm; Tomas Møller Christensen; Birthe Gade-Rasmussen; Kirsten Nørgaard
Journal:  Diabetes Care       Date:  2012-02-16       Impact factor: 19.112

10.  Smart Insulin Pens: Advancing Digital Transformation and a Connected Diabetes Care Ecosystem.

Authors:  Tejaswi Kompala; Aaron B Neinstein
Journal:  J Diabetes Sci Technol       Date:  2021-01-12
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