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Active Not RecruitingNCT07425912

Real-World Evaluation of TouchCare Nano in Pediatric Type 1 Diabetes

Real-World Efficacy and Safety of the TouchCare Nano Automated Insulin Delivery System With APGO Algorithm in Children and Adolescents With Type 1 Diabetes: A Multicentre Observational Study

Status
Active Not Recruiting
Phase
Study type
Observational
Enrollment
76 (actual)
Sponsor
University of Campania Luigi Vanvitelli · Academic / Other
Sex
All
Age
6 Years – 18 Years
Healthy volunteers
Not accepted

Summary

The goal of this observational study is to learn how well the TouchCare Nano automated insulin delivery system works and how safe it is for children and adolescents with type 1 diabetes in everyday medical care. The main questions this study aims to answer are: Does using the TouchCare Nano system help people with type 1 diabetes spend more time with their blood glucose in a healthy range? Are serious low blood sugar events or diabetic ketoacidosis uncommon while using this system in daily life? Participants are children and adolescents with type 1 diabetes who use the TouchCare Nano system as part of their regular diabetes care. Researchers will collect glucose sensor data and routine clinical information at the start of the study and during follow-up visits over about six months.

Detailed description

This multicentre, prospective, real-world observational study is designed to evaluate the efficacy and safety of the TouchCare Nano automated insulin delivery (AID) system with APGO™ algorithm in children and adolescents with type 1 diabetes. The study is conducted in routine clinical practice at three specialized pediatric diabetes centers in Italy. Participants aged 6 to 18 years with a diagnosis of type 1 diabetes and a minimum disease duration of six months are included after clinical indication for insulin pump therapy. All participants transition to the TouchCare Nano system as part of standard care, without any study-driven modification of treatment. The TouchCare Nano system is a tubeless patch pump integrated with a continuous glucose monitoring (CGM) system and an adaptive control algorithm (APGO™) based on artificial intelligence principles, designed to optimize insulin delivery in a hybrid closed-loop mode. Clinical and CGM-derived outcomes are collected at baseline and at 1, 3, and 6 months following the transition to automated insulin delivery. The primary outcome is Time in Range (TIR, 70-180 mg/dL). Secondary outcomes include additional CGM metrics, insulin delivery parameters, and clinical variables such as HbA1c and body mass index z-score. Safety is evaluated by monitoring the incidence of severe hypoglycemia and diabetic ketoacidosis throughout the 6-month follow-up period. The study has received approval from the relevant Ethics Committee, and written informed consent is obtained from all participants and their parents or legal guardians prior to data collection.

Conditions

Timeline

Start date
2025-09-05
Primary completion
2026-03-05
Completion
2026-03-15
First posted
2026-02-23
Last updated
2026-02-23

Locations

3 sites across 1 country: Italy

Source: ClinicalTrials.gov record NCT07425912. Inclusion in this directory is not an endorsement.