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AI-Assisted Remote Insulin Pump Optimization in T1DM

Evaluating AI-Assisted Remote Optimization of Insulin Pump Settings in Type 1 Diabetes Using CGM

This study evaluates an AI-assisted remote parameter optimization tool for individuals with type 1 diabetes (T1D) using insulin pump and continuous glucose monitoring (CGM). The Artificial Intelligence (AI) algorithm analyzes regularly CGM and insulin data to generate personalized recommendations for adjusting pump settings. All algorithm-generated recommendations are reviewed and approved by physicians before being transmitted to the participant's mobile application for implementation.

Przegląd badań

Szczegółowy opis

This study consists of two independent, parallel cohorts. Participants are assigned to only one of the two cohorts and do not crossover between cohorts.

Cohort 1 (Inpatient Phase): A separate group of hospitalized adults with T1D will undergo AI-assisted insulin pump parameter optimization over 5-7 days under close clinical supervision. This cohort is designed to evaluate the short-term safety, feasibility, and glycemic responses to the AI algorithm in a controlled inpatient setting.

Cohort 2 (Home-based Phase): A separate group of outpatients with T1D will be randomized in a 1:1 ratio to a two-period crossover design over 11 weeks. This cohort evaluates the efficacy and safety of AI-assisted remote parameter optimization compared to conventional therapy in the home environment.

Typ studiów

Interwencyjne

Zapisy (Szacowany)

50

Faza

  • Nie dotyczy

Kontakty i lokalizacje

Ta sekcja zawiera dane kontaktowe osób prowadzących badanie oraz informacje o tym, gdzie badanie jest przeprowadzane.

Kontakt w sprawie studiów

Lokalizacje studiów

    • Jiangsu
      • Nanjing, Jiangsu, Chiny, 210008
        • Rekrutacyjny
        • Department of Endocrinology
        • Kontakt:
        • Główny śledczy:
          • Yan Bi, PhD
        • Pod-śledczy:
          • Jing Lu, PhD

Kryteria uczestnictwa

Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.

Kryteria kwalifikacji

Wiek uprawniający do nauki

  • Dziecko
  • Dorosły
  • Starszy dorosły

Akceptuje zdrowych ochotników

Nie

Opis

Inclusion Criteria:

  1. Clinical diagnosis of T1D, meeting all three of the following criteria:

    1. Clinical medical records or a certification document issued by a specialist physician confirming the diagnosis;
    2. At least one of the following: age at disease onset < 15 years; presentation with ketosis or diabetic ketoacidosis (DKA) at onset; no overweight or obesity at onset; highest random C-peptide < 200 pmol/L;
    3. At least one of the following: continuous insulin therapy initiated after diagnosis; positive for any islet autoantibody.
  2. Age 14 to 65 years, inclusive, male or female.
  3. HbA1c < 11.0% at the screening visit.
  4. At least 3 months of documented T1D duration, and at least 3 months of treatment with either multiple daily insulin injections (MDI) or insulin pump therapy.
  5. Willing to wear the study device continuously throughout the trial and to use either insulin aspart or insulin lispro.
  6. Willing to perform at least one fingerstick blood glucose measurement per day.
  7. Willing to upload data from the study device.
  8. Willing and able to provide signed informed consent (by the participant and/or legally authorized representative) and to learn basic diabetes management and study device operation.

Exclusion Criteria:

  1. History of severe hypoglycemia within the 6 months prior to screening, defined as an event requiring medical assistance (i.e., physician office visit, emergency room visit, or hospitalization), coma, seizure, or hypoglycemia with loss of consciousness.
  2. Unresolved acute complications of diabetes at screening, including diabetic ketoacidosis (DKA) or hyperosmolar hyperglycemic state (HHS), or hyperglycemia with severe circulatory impairment.
  3. Unresolved adverse skin conditions at the intended device placement site (e.g., psoriasis, dermatitis herpetiformis, rash, staphylococcal infection) at screening.
  4. Intolerance to subcutaneous infusion sets or adhesive tapes, or presence of edema.
  5. Presence of significant acute or chronic complications, hepatorenal disease, or other systemic diseases at screening. Hyperthyroidism or hypothyroidism with unstable thyroid function at the time of screening, defined as thyroid-stimulating hormone outside the normal range with concurrent abnormal free triiodothyronine or free thyroxine levels.
  6. Prior pancreas or islet cell transplantation.
  7. Any of the following cardiovascular or cerebrovascular events within 1 year prior to screening: myocardial infarction, heart failure (NYHA Class III/IV), unstable angina, coronary artery bypass grafting, coronary stent implantation, angina pectoris, congestive heart failure, ventricular arrhythmia, transient ischemic attack (TIA), cerebrovascular accident (CVA), or other thromboembolic disease.
  8. Diagnosis of any of the following: malignancy, tuberculosis or other chronic wasting disease, hematological disorder, psychiatric disorder, systemic lupus erythematosus, rheumatoid arthritis, autoimmune hemolytic anemia, or clinically significant malabsorption. Diagnosis of adrenal insufficiency, or current treatment for hyperthyroidism, or planned treatment for hyperthyroidism during the study period.
  9. History of drug abuse or alcohol abuse.
  10. Use of any oral, injectable, or intravenous glucocorticoids within 8 weeks prior to screening, or planned use during the study period.
  11. Use of any of the following non-insulin glucose-lowering agents within 8 weeks prior to screening, or planned use during the study period: thiazolidinediones (TZDs), alpha-glucosidase inhibitors, sulfonylureas (SUs), glinides, dipeptidyl peptidase-4 inhibitors (DPP-4i), sodium-glucose cotransporter-2 inhibitors (SGLT2i), or glucagon-like peptide-1 receptor agonists (GLP-1 RAs). Participants currently using any of these agents must undergo a washout period of at least 7 days prior to enrollment.
  12. Planned elective surgery requiring general anesthesia, or planned dialysis during the study period.
  13. For women of childbearing potential: pregnancy, lactation, positive pregnancy test at screening, or planned pregnancy during the study period. Women of childbearing potential who are not using an effective method of contraception (e.g., oral contraceptives, intrauterine device, barrier method with spermicide, or surgical sterilization) and who do not agree to continue using such effective contraception during the study period will be excluded.
  14. Current participation in, or treatment with an investigational drug or device within 2 weeks prior to screening (observational studies are permitted).
  15. Any other condition that, in the investigator's judgment, would make the participant unsuitable for the study, including but not limited to: history of ocular trauma or other confirmed ocular disease causing blurred vision, deafness, eating disorders, celiac disease, or being underweight (Body Mass Index < 18 kg/m²).

Plan studiów

Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.

Jak projektuje się badanie?

Szczegóły projektu

  • Główny cel: Leczenie
  • Przydział: Randomizowane
  • Model interwencyjny: Zadanie krzyżowe
  • Maskowanie: Podwójnie

Broń i interwencje

Grupa uczestników / Arm
Interwencja / Leczenie
Eksperymentalny: Inpatient AI Optimization
During the inpatient stay, the AI-assisted decision support system will analyze continuous glucose monitoring and insulin pump data to generate daily recommendations for optimizing insulin dosage. All algorithm-generated recommendations will be reviewed and approved by physicians before implementation.
A cloud-based software system that analyzes continuous glucose monitoring and insulin pump data to generate recommendations for optimizing insulin pump settings. All recommendations are reviewed and approved by a physician prior to implementation.
Eksperymentalny: Home AI-First (Sequence A)
Participants in this arm will complete a home-based crossover trial. In the first 4-week period, they will receive AI-assisted remote optimization of insulin pump settings. The AI algorithm will analyze weekly uploaded CGM and insulin data to generate parameter adjustment recommendations, which will be reviewed and approved by a physician prior to remote transmission to the participant's mobile app. In the second 4-week period, they will switch to conventional pump therapy without AI-assisted recommendations.
A cloud-based software system that analyzes continuous glucose monitoring and insulin pump data to generate recommendations for optimizing insulin pump settings. All recommendations are reviewed and approved by a physician prior to implementation.
Eksperymentalny: Home Control-First (Sequence B)
Participants in this arm will complete a home-based crossover trial. In the first 4-week period, they will receive conventional pump therapy without AI-assisted recommendations In the second 4-week period, they will cross over to receive AI-assisted remote optimization of insulin pump settings. The AI algorithm will analyze weekly uploaded CGM and insulin data to generate parameter adjustment recommendations, which will be reviewed and approved by a physician prior to remote transmission to the participant's mobile app.
Sensor-augmented insulin pump therapy using continuous glucose monitoring with dose adjustments made by the participant and/or physician per standard clinical practice, without AI-assisted algorithmic recommendations.

Co mierzy badanie?

Podstawowe miary wyniku

Miara wyniku
Opis środka
Ramy czasowe
Time-in-Range (TIR)
Ramy czasowe: the last 2 weeks of each 4-week intervention period
Percentage of glucose readings within range of 3.9 to 10 mmol/l
the last 2 weeks of each 4-week intervention period

Miary wyników drugorzędnych

Miara wyniku
Opis środka
Ramy czasowe
Percentage of Time with Glucose Below 3.9 mmol/L
Ramy czasowe: the last 2 weeks of each 4-week intervention period
Percentage of CGM readings below 3.9 mmol/L during each 4-week crossover period.
the last 2 weeks of each 4-week intervention period
Percentage of Time with Glucose Above 10.0 mmol/L
Ramy czasowe: the last 2 weeks of each 4-week intervention period
Percentage of CGM readings above 10.0 mmol/L during each 4-week crossover period.
the last 2 weeks of each 4-week intervention period
Mean Sensor Glucose
Ramy czasowe: the last 2 weeks of each 4-week intervention period
Mean CGM glucose level (mmol/L) during each 4-week crossover period.
the last 2 weeks of each 4-week intervention period
Glycemic Variability
Ramy czasowe: the last 2 weeks of each 4-week intervention period
coefficient of variation (%CV) of CGM glucose levels during each 4-week crossover period.
the last 2 weeks of each 4-week intervention period
Total Daily Insulin Dose
Ramy czasowe: the last 2 weeks of each 4-week intervention period
Mean total daily insulin dose (units/day) during each 4-week crossover period.
the last 2 weeks of each 4-week intervention period
Incidence of Diabetic Ketoacidosis (DKA)
Ramy czasowe: through study completion, an average of 12 weeks
Number of DKA events occurring during the study.
through study completion, an average of 12 weeks
Incidence of Severe Hypoglycemic Events
Ramy czasowe: through study completion, an average of 12 weeks
Number of severe hypoglycemic events (requiring assistance of another person) during the study.
through study completion, an average of 12 weeks
Incidence of Adverse Events and Serious Adverse Events
Ramy czasowe: through study completion, an average of 12 weeks
Incidence of all AEs and SAEs, including relationship to study device and severity.
through study completion, an average of 12 weeks
Physician Acceptance Rate
Ramy czasowe: through the 4-week AI-Assisted Systme intervention
Proportion of algorithm-generated recommendations accepted by the physician
through the 4-week AI-Assisted Systme intervention
Physician Satisfaction with AI-Assisted System
Ramy czasowe: the end of the 4-week AI-Assisted Systme intervention
Mean scores from a modified clinician satisfaction survey evaluating usability, reliability, and overall experience.
the end of the 4-week AI-Assisted Systme intervention
Patient Treatment Satisfaction
Ramy czasowe: the end of each 4-week intervention period
Mean scores from the Diabetes Treatment Satisfaction Questionnaire (DTSQ)
the end of each 4-week intervention period
Percentage of Time with Glucose Above 13.9 mmol/L
Ramy czasowe: the last 2 weeks of each 4-week intervention period
Percentage of CGM readings above 13.9 mmol/L during each 4-week crossover period.
the last 2 weeks of each 4-week intervention period
Percentage of Time with Glucose Below 3.0 mmol/L
Ramy czasowe: the last 2 weeks of each 4-week intervention period
Percentage of CGM readings below 3.0 mmol/L during each 4-week crossover period.
the last 2 weeks of each 4-week intervention period

Współpracownicy i badacze

Tutaj znajdziesz osoby i organizacje zaangażowane w to badanie.

Daty zapisu na studia

Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.

Główne daty studiów

Rozpoczęcie studiów (Rzeczywisty)

28 stycznia 2026

Zakończenie podstawowe (Szacowany)

31 grudnia 2027

Ukończenie studiów (Szacowany)

31 grudnia 2028

Daty rejestracji na studia

Pierwszy przesłany

21 czerwca 2026

Pierwszy przesłany, który spełnia kryteria kontroli jakości

26 lipca 2026

Pierwszy wysłany (Rzeczywisty)

29 lipca 2026

Aktualizacje rekordów badań

Ostatnia wysłana aktualizacja (Rzeczywisty)

29 lipca 2026

Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości

26 lipca 2026

Ostatnia weryfikacja

1 czerwca 2026

Więcej informacji

Terminy związane z tym badaniem

Plan dla danych uczestnika indywidualnego (IPD)

Planujesz udostępniać dane poszczególnych uczestników (IPD)?

NIE

Informacje o lekach i urządzeniach, dokumenty badawcze

Bada produkt leczniczy regulowany przez amerykańską FDA

Nie

Bada produkt urządzenia regulowany przez amerykańską FDA

Nie

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