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

ABSTRACT:

Aims

Connected insulin pens (CIPs) provide insulin dosing data that can be leveraged to drive improvements in glycaemic control. To realize this potential in routine care, insulin data need to be distilled into actionable insights for clinicians. We describe two algorithms for detecting glucose excursions using continuous glucose monitoring (CGM) data and then link excursions to CIP data to derive "insulin metrics" characterizing suboptimal bolus dosing practices.

Materials and methods

This post hoc analysis used CGM and CIP data from a 12-week observational study (clinicaltrials.gov: NCT03368807) of 64 adults with type 1 or type 2 diabetes receiving multiple daily injection insulin therapy and glycated haemoglobin ≥8%. Two updated algorithms were applied to analyse glucose

SUBMITTER: Wolpert H 

PROVIDER: S-EPMC11964990 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature