Literature DB >> 27761942

Effects of advanced carbohydrate counting guided by an automated bolus calculator in Type 1 diabetes mellitus (StenoABC): a 12-month, randomized clinical trial.

E Hommel1, S Schmidt2,3, D Vistisen1, K Neergaard1, M Gribhild1, T Almdal1,4, K Nørgaard2.   

Abstract

AIMS: To test whether concomitant use of an automated bolus calculator for people with Type 1 diabetes carrying out advanced carbohydrate counting would induce further improvements in metabolic control.
METHODS: We conducted a 12-month, randomized, parallel-group, open-label, single-centre, investigator-initiated clinical study. We enrolled advanced carbohydrate counting-naïve adults with Type 1 diabetes and HbA1c levels 64-100 mmol/mol (8.0-11.3%), who were receiving multiple daily insulin injection therapy. In a 1:1-ratio, participants were randomized to receive training in either advanced carbohydrate counting using mental calculations (MC group) or advanced carbohydrate counting using an automated bolus calculator (ABC group) during a 3.5-h group training course. For 12 months after training, participants attended a specialized diabetes centre quarterly. The primary outcome was change in HbA1c from baseline to 12 months.
RESULTS: Between August 2012 and September 2013, 168 participants (96 men and 72 women) were recruited and randomly assigned to the MC group (n = 84) and the ABC group (n = 84). Drop-out rates were 23.8 and 21.4%, respectively (P = 0.712); 130 participants completed the study. The baseline HbA1c was 75 ± 9 mmol/mol (9.0 ± 0.8%) in the MC group and 74 ± 8 mmol/mol (8.9 ± 0.7%) in the ABC group. At 12 months, change in HbA1c was significant within both groups: MC group: -2 mmol/mol (95% CI -4 to -1) or -0.2% (95% CI -0.4 to -0.1; P = 0.017) and ABC group: -5 mmol/mol (95% CI -6 to -3) or -0.5% (95% CI -0.6 to -0.3; P < 0.0001), but HbA1c reductions were significantly greater in the ABC group (P = 0.033). No episodes of severe hypoglycaemia were reported.
CONCLUSIONS: People with Type 1 diabetes initiating advanced carbohydrate counting obtained significantly greater HbA1c reductions when guided by an automated bolus calculator (NCT02084498).
© 2016 Diabetes UK.

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Year:  2016        PMID: 27761942     DOI: 10.1111/dme.13275

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  9 in total

1.  Long-Term Adherence to Automated Bolus Calculators.

Authors:  Signe Schmidt; Kirsten Nørgaard; Kirsten Neergaard; Thomas Almdal; Eva E Hommel
Journal:  J Diabetes Sci Technol       Date:  2016-11-02

2.  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

3.  Flash glucose monitoring and automated bolus calculation in type 1 diabetes treated with multiple daily insulin injections: a 26 week randomised, controlled, multicentre trial.

Authors:  Anna Lilja Secher; Ulrik Pedersen-Bjergaard; Ole L Svendsen; Birthe Gade-Rasmussen; Thomas Almdal; Linda Raimond; Dorte Vistisen; Kirsten Nørgaard
Journal:  Diabetologia       Date:  2021-09-08       Impact factor: 10.122

Review 4.  Improving pregnancy outcomes in women with diabetes mellitus: modern management.

Authors:  Lene Ringholm; Peter Damm; Elisabeth R Mathiesen
Journal:  Nat Rev Endocrinol       Date:  2019-07       Impact factor: 43.330

5.  Study protocol for optimising glycaemic control in type 1 diabetes treated with multiple daily insulin injections: intermittently scanned continuous glucose monitoring, carbohydrate counting with automated bolus calculation, or both? A randomised controlled trial.

Authors:  Anna Lilja Secher; Ulrik Pedersen-Bjergaard; Ole Lander Svendsen; Birthe Gade-Rasmussen; Thomas P Almdal; Liv Dørflinger; Dorte Vistisen; Kirsten Nørgaard
Journal:  BMJ Open       Date:  2020-04-27       Impact factor: 2.692

Review 6.  Hypoglycaemia in type 1 diabetes: technological treatments, their limitations and the place of psychology.

Authors:  Pratik Choudhary; Stephanie A Amiel
Journal:  Diabetologia       Date:  2018-02-08       Impact factor: 10.122

7.  The dietary education trial in carbohydrate counting (DIET-CARB Study): study protocol for a randomised, parallel, open-label, intervention study comparing different approaches to dietary self-management in patients with type 1 diabetes.

Authors:  Bettina Ewers; Tina Vilsbøll; Henrik Ullits Andersen; Jens Meldgaard Bruun
Journal:  BMJ Open       Date:  2019-09-03       Impact factor: 2.692

8.  Dietary management practices for type 1 diabetes mellitus by dietitians in KwaZulu-Natal.

Authors:  Megan E Dimitriades; Kirthee Pillay
Journal:  Health SA       Date:  2021-03-29

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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