Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month

Julia Ware1, Charlotte K Boughton2, Janet M Allen3

  • 1Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK; Department of Paediatrics, University of Cambridge, Cambridge, UK.

Insights

The Cambridge hybrid closed-loop system improved glucose control in children with type 1 diabetes. High system usage is key for optimal efficacy, as seen with the CamAPS FX configuration.

Area of Science:

  • Endocrinology
  • Biomedical Engineering
  • Pediatric Diabetes Management

Background:

  • Type 1 diabetes in children and adolescents often involves suboptimal glucose control.
  • Closed-loop insulin delivery systems offer a potential solution for improved glycemic management.

Purpose of the Study:

  • To compare the safety and efficacy of the Cambridge hybrid closed-loop algorithm against usual care in pediatric patients with type 1 diabetes over six months.

Main Methods:

  • A multicentre, multinational randomized controlled trial involving 133 participants (aged 6-18 years) with type 1 diabetes.
  • Participants were assigned to either the Cambridge closed-loop system (FlorenceM or CamAPS FX configurations) or usual insulin pump therapy.
  • The primary endpoint was the change in HbA1c at six months.

Main Results:

  • The closed-loop group showed a statistically significant reduction in HbA1c compared to the control group (difference of -3.5 mmol/mol).
  • Efficacy varied by configuration, with consistently high usage (93%) in the CamAPS FX group leading to better outcomes than the FlorenceM group (40%).
  • The safety profile was acceptable, with similar rates of severe hypoglycemia and comparable adverse events between groups.

Conclusions:

  • The Cambridge hybrid closed-loop algorithm demonstrates an acceptable safety profile and improves glycemic control in pediatric type 1 diabetes.
  • Consistent and high usage of the closed-loop system is crucial for achieving optimal efficacy, as highlighted by the CamAPS FX results.
Abstract

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