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The Impact of Early Automated Insulin Delivery (AID) Therapy on Diabetes Control and Comorbidities, and Cost-effectiveness of AID Treatment

The Impact of Early Automated Insulin Delivery (AID) Therapy on Diabetes Control and Comorbidities, and Cost-effectiveness of AID Treatment - a Prospective, Randomized, Controlled Study on Pediatric Patients With Type 1 Diabetes

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07423637
Enrollment
100
Registered
2026-02-20
Start date
2026-04-01
Completion date
2028-12-31
Last updated
2026-03-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 1 Diabetes

Keywords

type 1 diabetes, Automated insulin delivery system

Brief summary

The purpose of this study is to investigate the effect of early initiated automated insulin de-livery (AID) treatment in type diabetes in children aged 7-16 years to glycemic control, diabe-tes distress of patients and caregivers, long-term micro- and macrovascular complications and cost-effectiveness compared to multiple daily injections (MDI) and continuous glucose monitoring (CGM). The immediate costs of AID therapy are higher than costs of multiple daily injection therapy, and there has been debate whether the more expensive AID therapy is justified. No research on the cost-effectiveness of AID use in children has been conducted so far in Finland, and there is generally very little research data on the long-term treatment of type 1 diabetes with AID systems. AID therapy has been studied from the point of diagno-sis of type 1 diabetes in two centers (USA and the UK) but from the perspective of maintain-ing subject's own insulin secretion. A long-term randomized and controlled study on the out-comes and cost-effectiveness of AID therapy, started from diagnosis of diabetes, is essential to create evidence-based data for optimizing current treatment recommendations. Our hypothesis is that AID treatment keeps the glycemic outcomes in targets in the long term and decreases diabetes distress. During longer time, AID system decreases the amount of micro- and macrovascular complications and is cost-effective treatment for children with type 1 diabetes (CwT1D).

Interventions

DEVICEOmnipod 5

Omnipod5 uses a SmartAdjust™ closed-loop algorithm to automate insulin delivery. Algorithm continuously predicts glucose trends and self-adjusts insulin delivery within safety boundaries

Multiple daily infections of insulin to treat type 1 diabetes

Sponsors

Helsinki University Central Hospital
Lead SponsorOTHER
Insulet Corporation
CollaboratorINDUSTRY
Abbott Diabetes Care
CollaboratorINDUSTRY
NordicInfu Care AB
CollaboratorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
7 Years to 16 Years
Healthy volunteers
No

Inclusion criteria

* Children and adolescents aged 7-15 years who are re-cently (within a month) diagnosed with type 1 diabetes at the Children's and Adolescents' Unit of HUH at the New Children's Hospital and Jorvi Hospital

Exclusion criteria

* Addison's disease * Renal failure * Untreated coeliac disease * Untreated thyroid disorder * Poorly controlled asthma, per investigator judgment. * Unresolved adverse skin conditions in the area of sensor placement (e.g. pso-riasis, rash, Staphylococcus infection). * Participating in an investigational study (drug or device) wherein he/she has received treatment from an investigational study drug or device in the last 2 weeks before enrollment into this study, as per investigator judgment.

Design outcomes

Primary

MeasureTime frameDescription
Time in RangeDuring the first 2 yearsPercentage (%) of the time patients' glucose levels are within the target range based on continuous glucose monitoring (time in range =TIR, 3.9-10 mmol/l).

Secondary

MeasureTime frameDescription
TINRDuring the first 2 yearsTime spent (%) in normoglycemic range (TINR, 3.9-7.8 mmol/l) based on continuous glucose monitorin (CGM) data
Complications15 yearsThe development of diabetes-related complications such as diabetic nephropathy, diabetic retinopathy, neuropathy, coronary artery disease
HbA1c2 yearsThe change in HbA1c levels (mmol/mol) during the treatment between the groups
Mean sensor glucose value2 yearsThe change in mean sensor glucose value (mmol/l) obtained from continuous glucose monitoring between the groups during treatment
Glycemic variability2 yearsThe change in glycemic variability (coefficient of variation CV (SD/mean sensor glucose x 100%)) obtained from continuous glucose monitoring data between the groups during treatment
Continuous Ketone monitoring (CKM)During the first 2 yearsContinous Ketone monitoring with a CKM sensor will be performed at 2 time points during the follow-up period
Cost-effectiveness15 yearsThe cost-effectiveness of different treatment modalities for T1D in children with Cost-Utility Analysis modeling
Custom food listDuring the first 2 yearsThe Custom Food List is a personalized menu integrated into the AID pump. Patients can select a predefined meal from the list before eating, without calculating the carbohydrate content, and the pump automatically delivers the preset insulin dose assigned to that item. We evaluated the impact of using the Custom Food List on Time in range (TIR, %), Time in Normoglycemic Range (TINR, %), Time below Range (TBR, %), and postprandial glucose levels compared with conventional carbohydrate counting.

Countries

Finland

Contacts

CONTACTAnna-Kaisa Tuomaala, MD, PhD
anna-kaisa.tuomaala@hus.fi+358505430180
CONTACTTero Varimo, MD, PhD
tero.varimo@hus.fi+358445573392
STUDY_DIRECTORAnna-Kaisa Tuomaala, MD, PhD

Helsinki University Central Hospital

PRINCIPAL_INVESTIGATORTero Varimo, MD, PhD

Helsinki University Central Hospital

STUDY_CHAIRMari-Anne Pulkkinen, MD, PhD

Helsinki University Central Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 18, 2026