Efficacy and Safety of an Artificial-pancreas-like Learning-based Control in Type 1 Diabetes on Multiple Daily Injection Therapy

NCT ID: NCT06418464

Last Updated: 2024-05-17

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Clinical Phase: NA
• Total Enrollment: 120 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2024-07-01
• Study Completion Date: 2025-06-30

Brief Summary

This study is designed as a blinded, multi-center, non-inferiority randomized controlled clinical trial. It aims to enroll hospitalized T1D diabetes patients, ensuring an equal distribution with a 1:1 ratio between the intervention and control groups. The trial is set to take place across three locations in China: Peking University People's Hospital, Hebei Provincial People's Hospital, and Xingtai People's Hospital. Before participating, all subjects are required to provide their consent by signing a written informed consent form. Within the framework of the trial, the intervention group will receive insulin dosage recommendations from AP-A, subject to approval by a physician, whereas the control group will be treated with insulin dosages according to the current clinical guidelines established by their physicians.

Conditions

Diabetes Mellitus, Type 1

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: TREATMENT
• Blinding Strategy: SINGLE

Study Groups

AP-A Dosage Decision Support System

The AP-A Dosage Decision Support System represents a new solution in diabetes care, offering customized insulin dosage recommendations to patients. This system is a product of integrating four pivotal modules: the individualized model learning module, the risk-sensitive control module, the Bayesian optimization module, and the safety constraint module. Together, they establish a robust framework that employs advanced computational methodologies to deliver precise and personalized insulin dosage guidance, significantly improving the effectiveness and safety of diabetes treatment plans. The actual injection dose in the intervention group was executed by the doctor after approval based on the recommendation of the AP-A Dosage Decision Support System.

Group Type: EXPERIMENTAL

AP-A Dosage Decision Support System

Intervention Type: DEVICE

The AP-A Dosage Decision Support System represents a new solution in diabetes care, offering customized insulin dosage recommendations to patients. This system is a product of integrating four pivotal modules: the individualized model learning module, the risk-sensitive control module, the Bayesian optimization module, and the safety constraint module. Together, they establish a robust framework that employs advanced computational methodologies to deliver precise and personalized insulin dosage guidance, significantly improving the effectiveness and safety of diabetes treatment plans. The actual injection dose in the intervention group was executed by the doctor after approval based on the recommendation of the AP-A Dosage Decision Support System.

Physician decision-making

The injection dose of the control group was determined by the doctor solely.

Group Type: ACTIVE_COMPARATOR

AP-A Dosage Decision Support System

Intervention Type: DEVICE

The AP-A Dosage Decision Support System represents a new solution in diabetes care, offering customized insulin dosage recommendations to patients. This system is a product of integrating four pivotal modules: the individualized model learning module, the risk-sensitive control module, the Bayesian optimization module, and the safety constraint module. Together, they establish a robust framework that employs advanced computational methodologies to deliver precise and personalized insulin dosage guidance, significantly improving the effectiveness and safety of diabetes treatment plans. The actual injection dose in the intervention group was executed by the doctor after approval based on the recommendation of the AP-A Dosage Decision Support System.

Interventions

AP-A Dosage Decision Support System

The AP-A Dosage Decision Support System represents a new solution in diabetes care, offering customized insulin dosage recommendations to patients. This system is a product of integrating four pivotal modules: the individualized model learning module, the risk-sensitive control module, the Bayesian optimization module, and the safety constraint module. Together, they establish a robust framework that employs advanced computational methodologies to deliver precise and personalized insulin dosage guidance, significantly improving the effectiveness and safety of diabetes treatment plans. The actual injection dose in the intervention group was executed by the doctor after approval based on the recommendation of the AP-A Dosage Decision Support System.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

1. Voluntary signing of an informed consent form.

2. Age between 18 and 70 years, with a T1D diagnosis of at least one year.

3. A confirmed diagnosis of T1D diabetes by at least two endocrinologists and fulfillment of at least one of the following conditions: a) Fasting C-peptide level less than 0.3 ng/mL. b) Fasting C-peptide level between 0.3 ng/mL and 0.6 ng/mL with at least one positive diabetic autoantibody.

4. Receiving intensified treatment regimen with multiple daily subcutaneous insulin injections upon screening and during the whole study period.

Exclusion Criteria

1. Conditions such as diabetic ketoacidosis, diabetic ketosis, hyperglycemic hyperosmolar state, or other acute complications related to diabetes.

2. The presence of concurrent fever, severe infections, acute abdominal conditions, uncontrolled thyroid dysfunction, or the acute phase of any organ system disease.

3. A history within the last 3 months of serious cardiovascular issues including decompensated heart failure (NYHA Class III or IV), myocardial infarction, coronary artery bypass grafting, or coronary stent implantation, as well as uncontrolled severe arrhythmias or ischemic or hemorrhagic stroke.

4. Laboratory test abnormalities that exceed certain thresholds, such as alanine transaminase or aspartate transaminase levels greater than three times the upper limit of normal, total bilirubin levels more than twice the upper limit of normal, hemoglobin levels below 100 g/L, albumin levels below 30 g/L, or an estimated glomerular filtration rate (eGFR) less than 60 ml/min/1.73m².

5. Individuals who are required to fast or are unable to eat normally due to special circumstances.

6. Pregnant or breastfeeding women.

7. Individuals suffering from psychiatric illnesses or other cognitive impairments that may affect their ability to participate in the study.

8. Participants who are unable to wear a CGM due to severe allergies, skin diseases, or conditions at the sensor site such as lesions, scarring, redness, infection, or edema, which could interfere with the sensor's adhesion or the accuracy of glucose measurements in the interstitial fluid.

9. The systemic use of corticosteroids within the last month, with the exception of inhaled or topical steroids.

10. Any other condition or reason that the researcher deems to make the participant unsuitable for inclusion in the study.

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 70 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Hebei Provincial People's Hospital

UNKNOWN

Sponsor Role: collaborator

Xingtai People's Hospital

OTHER

Sponsor Role: collaborator

Peking University People's Hospital

OTHER

Sponsor Role: lead

Responsible Party

Wei Liu

Associate Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Other Identifiers

2023YFE0204100

Identifier Type: -

Identifier Source: org_study_id