Literature DB >> 22577884

The effect of bolus and food calculator Diabetics on glucose variability in children with type 1 diabetes treated with insulin pump: the results of RCT.

Marlena Błazik1, Ewa Pańkowska.   

Abstract

BACKGROUND: The calculation of prandial insulin dose is a complex process in which many factors should be considered. High glucose variability during the day, arising from difficulties which include errors made in food counting and inappropriate insulin adjustments, influence hemoglobin A1c levels. During this study, in children using insulin pumps to manage type 1 diabetes, we compared 2-h postprandial blood glucose levels (BGL) and glucose variability when calorie tables and mental calculation were used, to when Diabetics software was used.
METHODS: This 3-month, randomized, open-label study involved 48 children aged 1-18 yr. Patients were educated in food counting system used in the Warsaw Pump Therapy School (WPTS) where the carbohydrate unit (CU) and the fat-protein unit (FPU) are taken into account. The children were randomly allocated to an experimental group (A) who used diabetics software and a control group (B) who used caloric tables and mental calculations.
RESULTS: We observed significant differences (p < 0.05) between the groups in 2-h postprandial BGL's and the glucose variability parameters mean(T), SD(T), % BGL in the target range 70-180 mg/dL, and high blood glucose index HBGI. We did not observe statistically significant differences in hypoglycemic events or low blood glucose index (LBGI) nor in HbA1c or insulin requirements.
CONCLUSIONS: The use of the Diabetics software by patients educated at the WPTS is safe and reduces 2-h postprandial BGL's and glucose variability.
© 2012 John Wiley & Sons A/S.

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Year:  2012        PMID: 22577884     DOI: 10.1111/j.1399-5448.2012.00876.x

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  7 in total

1.  A Randomized Controlled Study of an Insulin Dosing Application That Uses Recognition and Meal Bolus Estimations.

Authors:  Ewa Pańkowska; Piotr Ładyżyński; Piotr Foltyński; Karolina Mazurczak
Journal:  J Diabetes Sci Technol       Date:  2016-12-20

Review 2.  Bolus calculators.

Authors:  Signe Schmidt; Kirsten Nørgaard
Journal:  J Diabetes Sci Technol       Date:  2014-05-19

3.  Accurate Carbohydrate Counting Is an Important Determinant of Postprandial Glycemia in Children and Adolescents With Type 1 Diabetes on Insulin Pump Therapy.

Authors:  Asma Deeb; Ahlam Al Hajeri; Iman Alhmoudi; Nico Nagelkerke
Journal:  J Diabetes Sci Technol       Date:  2016-11-21

Review 4.  Use of Automated Bolus Calculators for Diabetes Management.

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

5.  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

6.  Impact of ELKa, the Electronic Device for Prandial Insulin Dose Calculation, on Metabolic Control in Children and Adolescents with Type 1 Diabetes Mellitus: A Randomized Controlled Trial.

Authors:  Agnieszka Kowalska; Katarzyna Piechowiak; Anna Ramotowska; Agnieszka Szypowska
Journal:  J Diabetes Res       Date:  2017-01-23       Impact factor: 4.011

7.  Efficacy of bolus insulin calculation by a mobile-based bolus advisor: An open label clinical trial.

Authors:  Mansour Siavash; Mohsen Taherian; Masoud Ataei Khorasgani
Journal:  J Res Med Sci       Date:  2015-11       Impact factor: 1.852

  7 in total

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