Predictors of glycaemic improvement in children and young adults with type 1 diabetes and very elevated haemoglobin A1c (HbA1c) using the MiniMed 780G system
Authors' conclusion
In young individuals naive to AID, those with the highest baseline HbA1c and high percentage time in automation experience the greatest benefits after initiation of AID. Sociodemographic background and carbohydrate counting adherence/knowledge should not prevent or delay access to AID technology
Study context
- Population
- Automated insulin delivery (AID)-naïve young individuals aged 7–25 years with T1D and HbA1c ≥69 mmol/mol (≥8.5%)2 studies pooled
- Participants
- 99 individuals
- Comparison
- Predictors of HbA1c and TIR improvement after 3 months of AID
- Outcome
- Factors leading to greatest improvements in HbA1c and TIR 3.9-10.0 mmol/L
- Follow-up
- 3 months
Methodological detailsunivariate and multivariate linear models
- Univariate and multivariate linear models
Pooled result
As reported in the abstract
High baseline HbA1c (>100 mmol/mol [>11.0%]): HbA1c decrease
27.0 mmol/mol
2.4%
High baseline HbA1c (>100 mmol/mol [>11.0%]): TIR increase
6.1%
High time in automation mode (>80%): HbA1c decrease
14.2 mmol/mol
1.3%
High time in automation mode (>80%): TIR increase
11.1%
Further pooled results
HbA1c · baseline to 3 months
- Baseline HbA1c
- 92 ± 21 mmol/mol [10.6% ± 1.9%]
- HbA1c after 3 months
- 65 ± 16 mmol/mol (8.1% ± 1.5%)
- Change
- −27 ± 23 mmol/mol; −2.5% ± 2.1%
- p <0.001
TIR · baseline to 3 months
- TIR baseline to 3 months
- 24.2% ± 13.5% to 58.4% ± 15.4%
- p <0.001
Original publication
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