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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.

A tanulmány áttekintése

Részletes leírás

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.

Tanulmány típusa

Beavatkozó

Beiratkozás (Becsült)

50

Fázis

  • Nem alkalmazható

Kapcsolatok és helyek

Ez a rész a vizsgálatot végzők elérhetőségeit, valamint a vizsgálat lefolytatásának helyére vonatkozó információkat tartalmazza.

Tanulmányi kapcsolat

Tanulmányi helyek

    • Jiangsu
      • Nanjing, Jiangsu, Kína, 210008
        • Toborzás
        • Department of Endocrinology
        • Kapcsolatba lépni:
        • Kutatásvezető:
          • Yan Bi, PhD
        • Alkutató:
          • Jing Lu, PhD

Részvételi kritériumok

A kutatók olyan embereket keresnek, akik megfelelnek egy bizonyos leírásnak, az úgynevezett jogosultsági kritériumoknak. Néhány példa ezekre a kritériumokra a személy általános egészségi állapota vagy a korábbi kezelések.

Jogosultsági kritériumok

Tanulmányozható életkorok

  • Gyermek
  • Felnőtt
  • Idősebb felnőtt

Egészséges önkénteseket fogad

Nem

Leírás

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).

Tanulási terv

Ez a rész a vizsgálati terv részleteit tartalmazza, beleértve a vizsgálat megtervezését és a vizsgálat mérését.

Hogyan készül a tanulmány?

Tervezési részletek

  • Elsődleges cél: Kezelés
  • Kiosztás: Véletlenszerűsített
  • Beavatkozó modell: Crossover kiosztás
  • Maszkolás: Kettős

Fegyverek és beavatkozások

Résztvevő csoport / kar
Beavatkozás / kezelés
Kísérleti: 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.
Kísérleti: 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.
Kísérleti: 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.

Mit mér a tanulmány?

Elsődleges eredményintézkedések

Eredménymérő
Intézkedés leírása
Időkeret
Time-in-Range (TIR)
Időkeret: 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

Másodlagos eredményintézkedések

Eredménymérő
Intézkedés leírása
Időkeret
Percentage of Time with Glucose Below 3.9 mmol/L
Időkeret: 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
Időkeret: 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
Időkeret: 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
Időkeret: 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
Időkeret: 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)
Időkeret: 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
Időkeret: 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
Időkeret: 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
Időkeret: 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
Időkeret: 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
Időkeret: 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
Időkeret: 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
Időkeret: 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

Együttműködők és nyomozók

Itt találhatja meg a tanulmányban érintett személyeket és szervezeteket.

Tanulmányi rekorddátumok

Ezek a dátumok nyomon követik a ClinicalTrials.gov webhelyre benyújtott vizsgálati rekordok és összefoglaló eredmények benyújtásának folyamatát. A vizsgálati feljegyzéseket és a jelentett eredményeket a Nemzeti Orvostudományi Könyvtár (NLM) felülvizsgálja, hogy megbizonyosodjon arról, hogy megfelelnek-e az adott minőség-ellenőrzési szabványoknak, mielőtt közzéteszik őket a nyilvános weboldalon.

Tanulmány főbb dátumok

Tanulmány kezdete (Tényleges)

2026. január 28.

Elsődleges befejezés (Becsült)

2027. december 31.

A tanulmány befejezése (Becsült)

2028. december 31.

Tanulmányi regisztráció dátumai

Először benyújtva

2026. június 21.

Először nyújtották be, amely megfelel a minőségbiztosítási kritériumoknak

2026. július 26.

Első közzététel (Tényleges)

2026. július 29.

Tanulmányi rekordok frissítései

Utolsó frissítés közzétéve (Tényleges)

2026. július 29.

Az utolsó frissítés elküldve, amely megfelel a minőségbiztosítási kritériumoknak

2026. július 26.

Utolsó ellenőrzés

2026. június 1.

Több információ

A tanulmányhoz kapcsolódó kifejezések

Terv az egyéni résztvevői adatokhoz (IPD)

Tervezi megosztani az egyéni résztvevői adatokat (IPD)?

NEM

Gyógyszer- és eszközinformációk, tanulmányi dokumentumok

Egy amerikai FDA által szabályozott gyógyszerkészítményt tanulmányoz

Nem

Egy amerikai FDA által szabályozott eszközterméket tanulmányoz

Nem

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