Diabetes technology

Using Continuous Glucose Monitoring Values for Bolus Size Calculation in Smart Multiple Daily Injection Systems: No Negative Impact on Post-bolus Glycemic Outcomes Found in Real-World Data

J Diabetes Sci TechnolPublished Retrospective real-world data analysis

Authors' conclusion

We found no differences in four-hour post-bolus glycemic outcomes when using CGM or BG except for time below range, which showed evidence of being lower for CGM. Though preliminary, our results confirm prior findings showing non-inferiority of using CGM values for bolus calculation compared with BG usage in the real world.

Study context

Population
Users of a smart MDI device with a continuous glucose monitoring (CGM) system; 18 months, 79,000 bolus observations79,000 boluses
Participants
184 users
Exposure
Bolus calculation using CGM values vs blood glucose (BG) values
Outcome
Post-bolus glycemic outcomes
Follow-up
4 hours post-bolus
Methodological detailsnon-inferiority hypothesis, logistic regression, mixed model regression accounting for within-subject correlations
  • Non-inferiority hypothesis
  • Logistic regression
  • Mixed model regression accounting for within-subject correlations

Main finding

As reported in the abstract

4 hours
No differences between CGM- and BG-based boluses (initial logistic regression)
P > .183
Confirmed by mixed model regression in all cases except time below range
P > .199

Observational data: associations, not effects.

Further findings

Time below range (odds of CGM-based bolus calculation) · 4 hours

Higher time below 70 mg/dL predicted lower odds of CGM-based bolus calculation
OR = 0.987, P < .0001
Higher time below 54 mg/dL predicted lower odds of CGM-based bolus calculation
OR = 0.987, P = .0276
  • Mixed model regression

Original publication

Using Continuous Glucose Monitoring Values for Bolus Size Calculation in Smart Multiple Daily Injection Systems: No Negative Impact on Post-bolus Glycemic Outcomes Found in Real-World Data. J Diabetes Sci Technol. Published 24 September 2023. doi:10.1177/19322968231202803

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