Diabetes technology

Long-Term Patterns in Automated Insulin Delivery and Carbohydrate Announcement: A 24-Month Follow-Up

Diabetes Technol TherPublished Retrospective cohort study

Authors' conclusion

The modest change in TIR suggests sustained effectiveness of automated insulin delivery despite decreasing carbohydrate reporting-likely reflecting adaptive user behavior.

Study context

Population
Control-IQ users, single centre, October 2021–October 2024; 57% women, mean age 37 years
Participants
2,751 person-quarters
Outcome
Auto-bolus percentage (automatic correction boluses divided by total boluses) and its trend
Follow-up
24 months
Methodological detailssingle-centre, mixed-effects linear models
  • Single-centre
  • Mixed-effects linear models

Main finding

As reported in the abstract

Auto-bolus percentage

Mean auto-bolus percentage

61%

Increase in auto-bolus percentage per quarter

0.4%

P < 0.001

Observational data: associations, not effects.

Further findings

Daily carbohydrate announcement (DCA)

DCA declined
from 132 to 100 g/day

Time in range (TIR)

TIR slightly decreased
from 61% to 58%

Associations of auto-bolus percentage

Auto-bolus percentage inversely associated with age, TIR and DCA; DCA association strengthening over time

Original publication

Long-Term Patterns in Automated Insulin Delivery and Carbohydrate Announcement: A 24-Month Follow-Up. Diabetes Technol Ther. Published 23 July 2025. doi:10.1177/15209156251362499

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

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.