Literature DB >> 34495375

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

Anna Lilja Secher1, Ulrik Pedersen-Bjergaard2,3, Ole L Svendsen3,4, Birthe Gade-Rasmussen5, Thomas Almdal3,6, Linda Raimond7, Dorte Vistisen7, Kirsten Nørgaard7,3.   

Abstract

AIMS/HYPOTHESIS: We aimed to compare the effects of intermittently scanned continuous glucose monitoring (isCGM) and carbohydrate counting with automated bolus calculation (ABC) with usual care.
METHODS: In a randomised, controlled, open-label trial carried out at five diabetes clinics in the Capital Region of Denmark, 170 adults with type 1 diabetes for ≥1 year, multiple daily insulin injections and HbA1c > 53 mmol/mol (7.0%) were randomly assigned 1:1:1:1 with centrally prepared envelopes to usual care (n = 42), ABC (n = 41), isCGM (n = 48) or ABC+isCGM (n = 39). Blinded continuous glucose monitoring data, HbA1c and patient-reported outcomes were recorded at baseline and after 26 weeks. The primary outcome was change in time in range using isCGM vs usual care.
RESULTS: Baseline characteristics were comparable across arms: mean age 47 (SD 13.7) years, median (IQR) diabetes duration 18 (10-28) years and HbA1c 65 (61-72) mmol/mol (8.1% [7.7-8.7%]). Change in time in range using isCGM was comparable to usual care (% difference of 3.9 [-12-23], p = 0.660). The same was true for the ABC and ABC+isCGM arms and for hypo- and hyperglycaemia. Also compared with usual care, using ABC+isCGM reduced HbA1c (4 [95% CI 1, 8] mmol/mol) (0.4 [0.1, 0.7] %-point) and glucose CV (11% [4%, 17%]) and improved treatment satisfaction, psychosocial self-efficacy and present life quality. Treatment satisfaction also improved by using isCGM alone vs usual care. Statistical significance was maintained after multiple testing adjustment concerning glucose CV and treatment satisfaction with ABC+isCGM, and treatment satisfaction with isCGM. Discontinuation was most common among ABC only users, and among completers the ABC was used 4 (2-5) times/day and the number of daily isCGM scans was 5 (1-7) at study end. CONCLUSIONS/
INTERPRETATION: isCGM alone did not improve time in range, but treatment satisfaction increased in technology-naive people with type 1 diabetes and suboptimal HbA1c. The combination of ABC+isCGM appears advantageous regarding glycaemic variables and patient-reported outcomes, but many showed resistance towards ABC. TRIAL REGISTRATION: ClinicalTrials.gov NCT03682237. FUNDING: The study is investigator initiated and financed by the Capital Region of Denmark.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Automated bolus calculation; Continuous glucose monitoring; Flash glucose monitoring; Glycaemic control; HbA1c; Multiple daily insulin injections; Time in range; Type 1 diabetes

Mesh:

Substances:

Year:  2021        PMID: 34495375     DOI: 10.1007/s00125-021-05555-8

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  30 in total

Review 1.  Effects of advanced carbohydrate counting in patients with type 1 diabetes: a systematic review.

Authors:  S Schmidt; B Schelde; K Nørgaard
Journal:  Diabet Med       Date:  2014-08       Impact factor: 4.359

Review 2.  Bolus calculators.

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

Review 3.  Advances in technology for management of type 1 diabetes.

Authors:  Roy W Beck; Richard M Bergenstal; Lori M Laffel; John C Pickup
Journal:  Lancet       Date:  2019-09-15       Impact factor: 79.321

4.  Systematic Review of Randomized Controlled Trials Evaluating Glycemic Efficacy and Patient Satisfaction of Intermittent-Scanned Continuous Glucose Monitoring in Patients with Diabetes.

Authors:  Kevin Cowart; Wendy Updike; Krystal Bullers
Journal:  Diabetes Technol Ther       Date:  2020-05       Impact factor: 6.118

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

Authors:  E Hommel; S Schmidt; D Vistisen; K Neergaard; M Gribhild; T Almdal; K Nørgaard
Journal:  Diabet Med       Date:  2016-11-10       Impact factor: 4.359

Review 6.  Flash forward: a review of flash glucose monitoring.

Authors:  L Leelarathna; E G Wilmot
Journal:  Diabet Med       Date:  2018-02-27       Impact factor: 4.359

Review 7.  Efficacy of carbohydrate counting in type 1 diabetes: a systematic review and meta-analysis.

Authors:  Kirstine J Bell; Alan W Barclay; Peter Petocz; Stephen Colagiuri; Jennie C Brand-Miller
Journal:  Lancet Diabetes Endocrinol       Date:  2013-10-25       Impact factor: 32.069

8.  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

9.  The new FreeStyle libre flash glucose monitoring system improves the glycaemic control in a cohort of people with type 1 diabetes followed in real-life conditions over a period of one year.

Authors:  Isabelle Paris; Corinne Henry; Françoise Pirard; Anne-Catherine Gérard; Ides M Colin
Journal:  Endocrinol Diabetes Metab       Date:  2018-06-17

10.  Marked improvement in HbA1c following commencement of flash glucose monitoring in people with type 1 diabetes.

Authors:  Victoria Tyndall; Roland H Stimson; Nicola N Zammitt; Stuart A Ritchie; John A McKnight; Anna R Dover; Fraser W Gibb
Journal:  Diabetologia       Date:  2019-06-09       Impact factor: 10.122

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  1 in total

1.  Long-term glucose-lowering effect of intermittently scanned continuous glucose monitoring for type 1 diabetes patients in poor glycaemic control from Region North Denmark: An observational real-world cohort study.

Authors:  Morten Hasselstrøm Jensen; Simon Lebech Cichosz; Peter Gustenhoff; Amar Nikontovic; Ole Hejlesen; Peter Vestergaard
Journal:  PLoS One       Date:  2022-10-14       Impact factor: 3.752

  1 in total

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