| Literature DB >> 32345699 |
Anna Lilja Secher1, Ulrik Pedersen-Bjergaard2,3, Ole Lander Svendsen4, Birthe Gade-Rasmussen5, Thomas P Almdal6, Liv Dørflinger7, Dorte Vistisen8, Kirsten Nørgaard8.
Abstract
INTRODUCTION: There are beneficial effects of advanced carbohydrate counting with an automatic bolus calculator (ABC) and intermittently scanned continuous glucose monitoring (isCGM) in persons with type 1 diabetes. We aim to compare the effects of isCGM, training in carbohydrate counting with ABC and the combination of the two concepts with standard care. METHODS AND ANALYSIS: A multi-centre randomised controlled trial with inclusion criteria: ≥18 years, type 1 diabetes ≥1 year, injection therapy, HbA1c >53 mmol/mol, whereas daily use of carbohydrate counting and/or CGM/isCGM wear are exclusion criteria. Inclusion was initiated in October 2018 and is ongoing. Eligible persons are randomised into four groups: standard care, ABC, isCGM or ABC+isCGM. Devices used are FreeStyle Libre Flash and smart phone diabetes application mySugr. Participants attend group courses according to treatment allocation with different educational contents. Participants are followed for 26 weeks with clinical visits and telephone consultations. At baseline and at study end, participants wear blinded CGM, have blood samples performed and fill in questionnaires on person-related outcomes, and at baseline also on personality traits and hypoglycaemia awareness. The primary outcome is the difference in time spent in normoglycaemia (4-10 mmol/L) at study end versus baseline between the isCGM group and the standard care group. Secondary outcomes will also be analysed. Results are expected in 2020. ETHICS AND DISSEMINATION: Regional Scientific Ethics Committee approval (H-17040573). Results will be sought disseminated at conferences and in high impact journals.Trial registration numberClinicalTrial.gov registry (NCT03682237). © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: biotechnology & bioinformatics; general diabetes; nutrition & dietetics
Mesh:
Substances:
Year: 2020 PMID: 32345699 PMCID: PMC7213884 DOI: 10.1136/bmjopen-2019-036474
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Overview of glucose measurement methods, decision on insulin bolus and educational element in course according to group allocation
| Intervention group | Glucose measurement method | Decision on insulin bolus | Educational element in course |
| A | SMBG | Experience-based | General diabetes |
| B | SMBG | Carbohydrate counting with automatic bolus calculator | Training in carbohydrate counting |
| Training in the use of the application mySugr | |||
| C | isCGM | Experience based | General diabetes |
| Training in FreeStyle Libre Flash use | |||
| D | isCGM | Carbohydrate counting with automatic bolus calculator | Training in carbohydrate counting |
| Training in the use of the application mySugr | |||
| Training in FreeStyle Libre Flash use and how to incorporate glucose trend arrows to adjust the mySugr application settings |
SMBG, self-monitoring of blood glucose; isCGM, intermittently scanned continuous glucose monitoring.
Figure 1Flow chart of participants throughout the trial.