Literature DB >> 24447811

Carbohydrate counting with an automated bolus calculator helps to improve glycaemic control in children with type 1 diabetes using multiple daily injection therapy: an 18-month observational study.

Ivana Rabbone1, Andrea E Scaramuzza2, Maria Giovanna Ignaccolo1, Davide Tinti1, Sabrina Sicignano1, Francesca Redaelli3, Laura De Angelis3, Alessandra Bosetti3, Gian Vincenzo Zuccotti3, Franco Cerutti1.   

Abstract

AIMS: This study aimed to investigate the effect of carbohydrate counting (carbC), with or without an automated bolus calculator (ABC), in children with type 1 diabetes treated with multiple daily insulin injections.
METHODS: We evaluated 85 children, aged 9-16 years, with type 1 diabetes, divided into four groups: controls (n=23), experienced carbC (n=19), experienced carbC+ABC (n=18) and non-experienced carbC+ABC (n=25). Glycated haemoglobin (HbA1c), insulin use, and glycaemic variability - evaluated as high blood glucose index (HBGI) and low blood glucose index (LBGI) - were assessed at baseline and after 6 and 18 months.
RESULTS: At baseline, age, disease duration, BMI, HbA1c, insulin use, and HBGI (but not LBGI; p=0.020) were similar for all groups. After 6 months, HbA1c improved from baseline, although not significantly - patients using ABC (according to manufacturer's recommendations) HbA1c 7.14 ± 0.41% at 6 months vs. 7.35 ± 0.53% at baseline, (p=0.136) or without carbC experience HbA1c 7.61±0.62% vs. 7.95 ± 0.99% (p=0.063). Patients using ABC had a better HBGI (p=0.001) and a slightly worse LBGI (p=0.010) than those not using ABC. ABC settings were then personalised. At 18 months, further improvements in HbA1c were seen in children using the ABC, especially in the non-experienced carbC group (-0.42% from baseline; p=0.018).
CONCLUSIONS: CarbC helped to improve glycaemic control in children with type 1 diabetes using multiple daily injections. ABC use led to greater improvements in HbA1c, HBGI and LBGI compared with patients using only carbC, regardless of experience with carbC.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bolus calculator; Carbohydrate counting; Childhood diabetes; Education; Insulin therapy; Type 1 diabetes

Mesh:

Substances:

Year:  2014        PMID: 24447811     DOI: 10.1016/j.diabres.2013.12.026

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  9 in total

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

2.  Bolus Calculator Settings in Well-Controlled Prepubertal Children Using Insulin Pumps Are Characterized by Low Insulin to Carbohydrate Ratios and Short Duration of Insulin Action Time.

Authors:  Ragnar Hanas; Peter Adolfsson
Journal:  J Diabetes Sci Technol       Date:  2016-07-29

3.  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

Review 4.  Multiple Daily Injections OR Insulin Pump Therapy: Choosing the Best Option for Your Patient-An Evidence-based Approach.

Authors:  Mamta Joshi; Pratik Choudhary
Journal:  Curr Diab Rep       Date:  2015-10       Impact factor: 4.810

Review 5.  Influences on Technology Use and Efficacy in Type 1 Diabetes.

Authors:  Victoria Franklin
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

Review 6.  Carbohydrate Counting in Children and Adolescents with Type 1 Diabetes.

Authors:  Giorgia Tascini; Maria Giulia Berioli; Laura Cerquiglini; Elisa Santi; Giulia Mancini; Francesco Rogari; Giada Toni; Susanna Esposito
Journal:  Nutrients       Date:  2018-01-22       Impact factor: 5.717

7.  Qualitative assessment of user experiences of a novel smart phone application designed to support flexible intensive insulin therapy in type 1 diabetes.

Authors:  Brigid A Knight; H David McIntyre; Ingrid J Hickman; Marina Noud
Journal:  BMC Med Inform Decis Mak       Date:  2016-09-15       Impact factor: 2.796

8.  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

Review 9.  Glycemic Status Assessment by the Latest Glucose Monitoring Technologies.

Authors:  Ilaria Malandrucco; Benedetta Russo; Fabiana Picconi; Marika Menduni; Simona Frontoni
Journal:  Int J Mol Sci       Date:  2020-11-03       Impact factor: 5.923

  9 in total

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