NCT06017089

Brief Summary

The goal of this clinical trial is to obtain safety data and exploratory glycemic control data from use of an at-home closed loop control (CLC) system (t:slim X2 with Control-IQ Technology) with periodic parameter adjustments driven by an AI-based Advisor system in young children with Type 1 Diabetes. The main endpoints this study aims to answer is the safety and efficacy of the use of the AI-driven pump parameters. Participants will use the study system (pump and Continuous Glucose Monitor) in closed-loop mode for eight weeks.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
33

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Nov 2023

Shorter than P25 for not_applicable

Geographic Reach
1 country

3 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 18, 2023

Completed
12 days until next milestone

First Posted

Study publicly available on registry

August 30, 2023

Completed
2 months until next milestone

Study Start

First participant enrolled

November 10, 2023

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 17, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 17, 2024

Completed
1.2 years until next milestone

Results Posted

Study results publicly available

September 15, 2025

Completed
Last Updated

September 15, 2025

Status Verified

August 1, 2025

Enrollment Period

7 months

First QC Date

August 18, 2023

Results QC Date

June 13, 2025

Last Update Submit

August 25, 2025

Conditions

Keywords

Type 1 DiabetesContinuous Glucose Monitor (CGM)Tandem t:slim Insulin Pump with Control-IQ TechnologyControl-IQ Technology (CIQ)Artificial Pancreas (AP)Artificial Intelligence (AI)Closed loop control (CLC)Diabetes Assistant (DiAs)

Outcome Measures

Primary Outcomes (7)

  • Safety Endpoint (Tested for Non-inferiority Compared to Baseline) CGM Measured (a)

    % of time below 54 mg/dL

    Baseline and Weeks 1-8

  • Safety Endpoint (Tested for Non-inferiority Compared to Baseline) CGM Measured (b)

    % of time above 250 mg/dL

    Baseline and Weeks 1-8

  • Hierarchical Efficacy Endpoints (Tested for Superiority Compared With Baseline) CGM Measured (a)

    % of time in range 70-180 mg/dL

    Baseline and Weeks 1-8

  • Hierarchical Efficacy Endpoints (Tested for Superiority Compared With Baseline) CGM Measured (b)

    Mean glucose

    Baseline and Weeks 1-8

  • Hierarchical Efficacy Endpoints (Tested for Superiority Compared With Baseline) CGM Measured (c)

    % of time \>250 mg/dL

    Baseline and Weeks 1-8

  • Hierarchical Efficacy Endpoints (Tested for Superiority Compared With Baseline) CGM Measured (d)

    % of time \<70 mg/dL

    Baseline and Weeks 1-8

  • Hierarchical Efficacy Endpoints (Tested for Superiority Compared With Baseline) CGM Measured (e)

    % of time \<54 mg/dL

    Baseline and Weeks 1-8

Secondary Outcomes (15)

  • CGM Measured Time in Range

    Baseline and Weeks 1-8

  • CGM Measured (a)

    Baseline and Weeks 1-8

  • CGM Measured (b)

    Baseline and Weeks 1-8

  • CGM Measured (c)

    Baseline and Weeks 1-8

  • CGM Measured (d)

    Baseline and Weeks 1-8

  • +10 more secondary outcomes

Study Arms (1)

AI Advisor-driven at-home closed loop system initiation and parameter adaptation

EXPERIMENTAL

In this single-arm intervention trial, all participants will use the study system (t:slim X2 with Control-IQ Technology and Dexcom Continuous Glucose Monitor) in closed-loop mode for 8 weeks at home with periodic parameter adjustment driven by an AI-based Advisor system.

Device: AI-based Advisor system

Interventions

Tandem t:slim X2 with Control-IQ and t:connect mobile application and Dexcom G6 or G7 system, connected to UVA cloud-based Physician Dashboard with insulin pump parameters driven by an AI-based Advisor system.

AI Advisor-driven at-home closed loop system initiation and parameter adaptation

Eligibility Criteria

Age2 Years - 5 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17)

You may qualify if:

  • Clinical diagnosis, based on investigator assessment, of type 1 diabetes for at least 1 month
  • Familiarity and use of a carbohydrate ratio for meal boluses
  • Age ≥2 and \<6 years old
  • Using a Dexcom CGM at the time of enrollment, with use on at least 21 out of the prior 28 days
  • Living with one or more parent/legal guardian knowledgeable about emergency procedures for severe hypoglycemia and able to contact emergency services and study staff
  • Parent/guardian has a phone that can run the Tandem t:connect Mobile App (typically Android 10 or above or iPhone Operating System (iOS) 15 or above)
  • Willingness to use the t:connect Mobile App as needed during the study and ensure connectivity for a data upload at least once per day
  • Investigator has confidence that the parent can successfully operate all study devices and is capable of adhering to the protocol
  • Willingness to switch to lispro (Humalog) or aspart (Novolog) if not using already, and to use no other insulin besides lispro (Humalog) or aspart (Novolog) during the study for participants using a study162 provided Tandem pump during the study
  • Total daily insulin dose (TDD) at least 5 Units/day
  • Body weight at least 20 pounds (lbs)
  • Willingness not to start any new non-insulin glucose-lowering agent during the course of the trial
  • Participant and parent(s)/guardian(s) willingness to participate in all training sessions as directed by study staff
  • Parent/guardian proficient in reading and writing English
  • Live in the United States, with no plans to move outside the United States during the study period

You may not qualify if:

  • Concurrent use of any non-insulin glucose-lowering agent (including GLP-1 agonists, Symlin, DPP-4 inhibitors, SGLT-2 inhibitors, sulfonylureas)
  • Hemophilia or any other bleeding disorder
  • History of \>1 severe hypoglycemic event with seizure or loss of consciousness in the last 3 months
  • History of \>1 diabetic ketoacidosis (DKA) event in the last 6 months not related to illness, infusion set failure, or initial diagnosis
  • History of chronic renal disease or currently on hemodialysis
  • History of adrenal insufficiency
  • Hypothyroidism that is not adequately treated in the opinion of the investigator
  • Use of oral or injectable steroids within the last 8 weeks
  • Known, ongoing adhesive intolerance
  • Plans to receive blood transfusions or erythropoietin injections during the course of the study
  • A condition, which in the opinion of the investigator or designee, would put the participant or study at risk
  • Participation in another pharmaceutical or device trial at the time of enrollment or during the study
  • Having immediate family members employed by Tandem Diabetes Care, Inc. or Dexcom, Inc., or having a direct supervisor at place of employment who is also directly involved in conducting the clinical trial (as a study investigator, coordinator, etc.); or having a first-degree relative who is directly involved in conducting the clinical trial

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Stanford University

Stanford, California, 94305, United States

Location

Barbara Davis Center, University of Colorado

Aurora, Colorado, 80045, United States

Location

University of Virginia

Charlottesville, Virginia, 22903, United States

Location

Related Publications (1)

  • Pavan J, Cobry E, Reed ZW, Villa-Tamayo MF, Diaz C JL, DeBoer MD, Schoelwer M, Jost E, Kingman R, Holmes V, Lum JW, Koravi CLK, Buckingham B, Beck R, Wadwa RP, Breton MD; PEDAP-AI Trial Study Group. Algorithm-Driven Initiation and Adaptation of Hybrid Closed-Loop in Young Children with Type 1 Diabetes: A Pilot Study. Diabetes Technol Ther. 2025 Aug;27(8):587-596. doi: 10.1089/dia.2024.0650. Epub 2025 Mar 28.

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Results Point of Contact

Title
Marc Breton, PhD
Organization
University of Virginia Center for Diabetes Technology

Study Officials

  • John Lum, MS

    Jaeb Center for Health Research

    STUDY DIRECTOR
  • Raj P Wadwa, MD

    Barbara Davis Center, University of Colorado

    PRINCIPAL INVESTIGATOR
  • Marc D Breton, Ph.D.

    University of Virginia Center for Diabetes Technology

    STUDY CHAIR

Publication Agreements

PI is Sponsor Employee
No
Restrictive Agreement
No

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
TREATMENT
Intervention Model
SINGLE GROUP
Model Details: In this single-arm intervention trial, all participants will use the study system (pump and CGM) in closed-loop mode for 8 weeks.
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

August 18, 2023

First Posted

August 30, 2023

Study Start

November 10, 2023

Primary Completion

June 17, 2024

Study Completion

June 17, 2024

Last Updated

September 15, 2025

Results First Posted

September 15, 2025

Record last verified: 2025-08

Data Sharing

IPD Sharing
Will share

Will follow the NIH Data Sharing Policy and Implementation Guidance on sharing research resources for research purposes to qualified individuals in the scientific community

Shared Documents
STUDY PROTOCOL, SAP, ICF
Time Frame
Data will be made available after the primary publications of each study site.
Access Criteria
The Data Sharing Agreements will be formulated by the study team.

Locations