Diabetes technology

Characterizing insulin dosing behaviour and glycaemic excursions: Development of metrics using connected insulin pen and continuous glucose monitoring

Diabetes Obes MetabPublished Post hoc analysis of an observational study

Authors' conclusion

This analysis demonstrates "insulin metrics"-characterizations of insulin dosing behaviour derived from integrated CGM and CIP data-and provides a foundation for future work that will expand the understanding of an individual's insulin self-administration practices and improve clinical decision-making.

Study context

Population
Adults with T1D or T2D on MDI insulin therapy with HbA1c ≥8%
Participants
64 adults
Comparison
Glucose excursions after pre-meal boluses vs missed, delayed and correction boluses
Methodological details12-week observational study, algorithm development
  • 12-week observational study
  • Algorithm development

Primary result

As reported in the abstract

Insulin metrics: glucose excursions linked to bolus dosing
  • Glycaemic metrics obtained using both algorithms were similar
  • Lower %TIR and higher %TAR and %GV on days with missed bolus doses (MBDs)
  • Vs pre-meal boluses, delayed and correction boluses followed by excursions with larger change in glucose, longer duration >180 mg/dL, lower post-excursion %TIR and higher post-excursion %TAR
  • Excursions following MBDs showed lower %TIR, higher %TAR and lower percent recovery

Further findings

Glucose excursions larger and longer when continuous glucose monitoring (CGM) was masked than when unmasked

Original publication

Characterizing insulin dosing behaviour and glycaemic excursions: Development of metrics using connected insulin pen and continuous glucose monitoring. Diabetes Obes Metab. Published 10 February 2025. doi:10.1111/dom.16249

Composed by AI from the published abstract and checked against it. How Briefs are made →

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